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Postdoctoral Researcher at the Learning Partnership

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Time frame: 2 -years

The Learning Partnership is seeking two postdoctoral research fellows to conduct research on computer science student outcomes related to one of two researcher-practitioner partnerships. The Chicago Alliance for Equity in Computer Science (CAFÉCS) is a researcher-practitioner partnership between the Chicago Public Schools (CPS), DePaul University, Loyola University, University of Illinois at Chicago, and The Learning Partnership. PUMP is a researcher-practitioner partnership between the Milwaukee Public Schools, Marquette University, AIR, and The Learning Partnership. Both RPPs are committed to ensuring that every high school student receives a compelling and relevant experience in computer science. The successful candidates will engage in quantitative analyses of the factors that correlated with student outcomes.

Responsibilities
• Conduct research that addresses a problem of practice facing the partner school districts
• Engage in systematic processes for collecting, organizing, and analyzing data
• Balance rigor and feasibility in the design of research
• Develop and share knowledge and theory that contributes to the research base
• Share results in ways that take into account the needs of practitioners
• Develop and share new tools/routines that can be adapted for improvement work in other settings
• Keep abreast of the field in educational research and development
• Assist in new proposal development
• Work together effectively with a variety of staff and partners on multiple projects

Required qualifications
• Ph.D. in Learning Sciences, Education, Computer Science, Sociology or the equivalent
• Relevant research experience in urban settings
• Demonstrated ability to publish research papers
• Deep understanding of relevant literature
• Clear experience and motivation to generate innovative approaches and solutions
• Demonstrated ability as a team player, willing to pitch in and do what needs to be done
• Excellent communication skills

This postdoc is a two-year, grant-funded, 100% FTE positions with The Learning Partnership under the mentorship of Dr. Steven McGee. The successful candidates will be required to work either in Milwaukee, WI or Chicago, IL, and must be authorized to work in the United States.

The Learning Partnership offers a rich variety of benefits, including up to four weeks of vacation, medical and dental insurance, a generous retirement plan, and short-term/long-term disability insurance.

To Apply
To apply for this position, please send your cover letter, curriculum vitae, a sample research paper, and a list of three professional references to This email address is being protected from spambots. You need JavaScript enabled to view it.. Review of applications is ongoing and will continue until the position is filled.

The Learning Partnership is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any characteristic protected under applicable law.

 

Senior Educational Data Scientist at Digital Promise (Global)

Application website: https://digitalpromise.clearcompany.com/careers/jobs/5c221d70-20e4-5282-7d4c-0c51e3a34a9f/apply?source=1133641-CS-36506

Application deadline: 04/10/2019

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

About Digital Promise Global
Digital Promise Global is an independent, bipartisan 501(c)(3) nonprofit that aims to spur innovation in education for all levels of learners. Positioned at the intersection of educators, entrepreneurs, and researchers, Digital Promise Global identifies, develops, and promotes strategies to improve all levels of education and provide Americans with the knowledge and skills needed to compete in the global economy. Digital Promise Global is a fast-paced, growing, entrepreneurial organization that values and rewards performance, collaboration, and innovation.

About the Position
LSR at Digital Promise is seeking a Senior Educational Data Scientist to grow the developing Learning Analytics practice area. LSR pursues research that addresses equitable opportunities to learn. Our research investigates how to improve designs for learning, how to collect and report more actionable data about learning, how to continuously improve large-scale implementations, and how policy could be changed to enable more equitable opportunities to learn. Based in LSR, the Learning Analytics practice area is engaged in a number of data-intensive research-practice partnerships. The Senior Educational Data Scientist will use cloud-based tools and platforms to securely collaborate with teams of researchers, practitioners and developers – many of whom work for partner organizations. Often these collaborations seek to define data processes and data products that can guide ongoing educational improvement efforts. The Senior Educational Data Scientist will be expected to lead specific projects and also to continue to develop and promote a common set of tools, platforms, and processes across projects within Digital Promise and with our partner organizations.

The Senior Educational Data Scientist will (1) serve as principal investigator (PI) or co-PI for projects in our portfolio, (2) develop partnerships and propose new projects to funders , and (3) contribute to internal and external efforts around developing best practices for learning analytics. This position is not open to applicants who do not have clear and significant prior experience in educational research and/or working with educational data. Applications that do not make the extent of prior work in education clear in either the cover letter or resume will not be considered.

Responsibilities

Serve as Principal Investigator on complex projects that involve managing multiple staff, subcontractors, and consultants
Lead research proposals to philanthropic funders, private clients, and/or government granting agencies
Develop analysis plans, analyze data sets, and contribute to reports and publications
Work with educators, education leaders, and/or technology producers in research-practice partnerships and improvement science efforts
Contribute to the design of research studies that develop and/or evaluate education innovations
Support dissemination of research findings to practitioners, developers, and researchers
Serve as a supervisor or mentor to more junior staff, setting goals, monitoring performance and coaching their growth.
Qualifications

Ph.D. or Master’s with 5+ years of research experience analyzing education and learning system data
A history of developing teams and partnerships along with strong track record in developing and winning proposals to government, philanthropic or corporate organizations.
High-level of expertise in one or more quantitative methods (e.g., multi-level modeling, econometrics, psychometrics, machine learning)
Ability to design and program an entire data analysis workflow (e.g., wrangle, explore, model, and communicate data)
Experience working with cloud-based services like AWS or Azure.
Interest in working closely with education partners to understand their questions and develop data products that address them
Demonstrated ability to communicate with practitioners and technology developer partners about analytic findings
A team-first mentality with a “can-do” as well as “yes-and” orientation
Desirable areas of experience include psychometrics, machine learning, secondary analysis of large-scale state and national education databases, facility with R and/or Tableau, and classroom teaching experience or experience providing professional development to educators.

Compensation
Salary and benefits will be commensurate with experience.

To Apply
Please apply and submit your resume, cover letter, and one writing sample (e.g., published article, conference paper, or data science-focused blog post). Applicants are encouraged to submit their materials as soon as possible. Review will be on a rolling basis until the search is successful.

Digital Promise is an equal opportunity employer and considers all applications without regard to race, color, religion, creed, gender, national origin, age, disability, marital or veteran status, sexual orientation, or any other legally protected status.

 

Four postdoctoral research fellowships in learning analytics, Monash University

Time frame: Ideal start dates are from January 2020

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 29/09/2019

The Faculty of Information Technology at Monash University is proud to be establishing a leading international research group in learning analytics and the education hub for developing students, researchers, professionals, and leaders in learning analytics. The group already has five core faculty members (Dragan Gasevic, Neil Selwyn, Roberto Martinez-Maldonado, Guanliang Chen, and Alex Whitelock-Wainwright) and over 20 affiliated members across Monash University. The group’s research program is focused on three key strands including i) learning analytics in assessment and feedback; ii) curriculum and employment analytics; and iii) emerging themes in learning analytics such as multimodal learning analytics, machine behaviour, and human-AI collaboration in learning. The activities of the group include research projects with national and international partners, innovative applications of learning analytics across all levels of education and a range of industries, leadership of international field building activities, academic leadership in strategic adoption of learning analytics, and development of students, researchers, professionals, and leaders.

The learning analytics group at Monash University is currently rapidly expanding and is proud to announce four post-doctoral research fellowships in learning analytics


2 x Research Fellowships (Level B) – Machine learning and artificial intelligence foundations of learning analytics

These two research fellowships in learning analytics are focused on machine learning and artificial intelligence foundations of learning analytics. Applicants with strong passion for research and innovation in education and excellent background in machine learning and artificial intelligence techniques are welcome. The successful candidates will be involved the activities related to the research program of the learning analytics group and actively contributing to the group’s three research strands. The successful candidates are expected to have proven research record in contemporary (applied) machine learning techniques, experience in working with diverse datasets (e.g., log data, text, physiological, multimodal, and administrative), good understanding of relevant theories about human learning and education, and experience in working in interdisciplinary teams. Proven record of peer-review publications is expected and priority will be given to the applications with strong track-records of peer-reviewed publications in learning analytics. The successful candidates will be expected to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.

1 x Research Fellowship (Level B) – Human-centred learning analytics

This research fellowship in learning analytics is focused on human-centred learning analytics. Applicants with strong passion for research and innovation in education and excellent background in human-centred design, human computer interaction, and learning analytics are welcome. The successful candidate will be involved the activities related to the research program of the learning analytics group and actively contributing to the group’s three research strands. The successful candidate is expected to have proven research record in human-centred design methods, experience in designing and evaluating data analytics-based systems for human learning/education, experience in using modern data analytics techniques, good understanding of relevant theories about human learning and education, and experience in working in interdisciplinary teams. Proven record of peer-review publications is expected and priority will be given to the applicants with strong track-records of peer-reviewed publications in learning analytics. Applicants with background in multimodal learning analytics will be particularly welcomed. The successful candidate will be expected to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.

1 x Research Fellowship (Level B) – Learning science foundations of learning analytics

This research fellowship in learning analytics is focused on learning science foundations of learning analytics. Applicants with strong passion for research and innovation in education and excellent background in the learning sciences and learning analytics are welcome. The successful candidate will be involved the activities related to the research program of the learning analytics group and actively contributing to the group’s three research strands. The successful candidate is expected to have proven research record in the learning science, exceptional understanding of relevant theories about human learning and education, experience with research methods used in the learning sciences, experience with advanced statistical methods, and experience in working in interdisciplinary teams. Priority will be given to the applicants with experience in mixed-research methods and some experience in data analytics techniques. Proven record of peer-review publications is expected in the learning sciences/educational research and priority will be given to the applicants with strong track-records of peer-reviewed publications in learning analytics. The successful candidate will be expected to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.


Applications close on 29 September 2019. Details about the position can be found at http://bit.ly/monash_la_postdocs


In addition to this position, the research group has the following openings:
- A continuing research and teaching focused Lecturer/Senior Lecturer (Level B/C) position in learning analytics (tenure-track Assistant/Associate professor equivalent). Details at http://bit.ly/monash_la_lecturer
- Two software developers of learning analytics-based systems with three-year long appointments and renewable for an extra year. Details at http://bit.ly/monash_la_se
- Six fully-funded PhD studentships in learning analytics. Contact us for detail.

 

Lecturer/Senior Lecturer in Learning Analytics (Tenure-track position), Monash University

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 29/09/2019

The Faculty of Information Technology at Monash University is proud to be establishing a leading international research group in learning analytics and the education hub for developing students, researchers, professionals, and leaders in learning analytics. The group already has five core faculty members (Dragan Gasevic, Neil Selwyn, Roberto Martinez-Maldonado, Guanliang Chen, and Alex Whitelock-Wainwright) and over 20 affiliated members across Monash University. The group’s research program is focused on three key strands including i) learning analytics in assessment and feedback; ii) curriculum and employment analytics; and iii) emerging themes in learning analytics such as multimodal learning analytics, machine behaviour, and human-AI collaboration in learning. The activities of the group include research projects with national and international partners, innovative applications of learning analytics across all levels of education and a range of industries, leadership of international field building activities, academic leadership in strategic adoption of learning analytics, and development of students, researchers, professionals, and leaders.

The learning analytics group at Monash University is currently rapidly expanding and is proud to announce a new research and teaching focused Lecturer/Senior Lecturer (Level B/C) position in learning analytics (tenure-track Assistant/Associate professor equivalent).

Applicants from all areas of learning analytics are welcomed. Priorities will be to applicants with research interest in a) machine learning and artificial intelligence foundations of learning analytics; b) human-centred learning analytics; c) fairness, accountability, and transparency in learning analytics; d) measurement and assessment science in learning analytics; e) multimodal learning analytics; and f) learning science foundations of learning analytics. The successful candidate will be expected to contribute to research, teaching and engagement activities, establish a research program in learning analytics, seek for external funding opportunities, publish in leading international venues, supervise higher degree research students, and participate in and contribute to leadership of activities of the learning analytics group.


Applications close on 29 September 2019. Details about the position can be found at http://bit.ly/monash_la_lecturer


In addition to this position, the research group has the following openings:
- Four postdoctoral research fellowships in learning analytics with three-year long appointments and with an option to be renewed for an extra year. Details at http://bit.ly/monash_la_postdocs
- Two software developers of learning analytics-based systems with three-year long appointments and renewable for an extra year. Details at http://bit.ly/monash_la_se
- Six fully-funded PhD studentships in learning analytics. Contact us for detail.

 

Tenure-eligible Associate/Full Professor in Learning Sciences at the University at Buffalo, SUNY

Start date: August 2020

Application deadline: 23/10/2019

Application website: http://www.ubjobs.buffalo.edu/postings/21527

The Graduate School of Education in the University at Buffalo, SUNY, invites applications for an Associate/Full Professor to lead a campus-wide, cluster-hire initiative in the Learning Sciences. This effort will lead to the establishment of a core group of prominent faculty in the disciplines of Learning Sciences, Human Computer Partnerships, Cognitive Psychology / Sciences, and Learning Environments. Our aim is to explore and investigate the impact of 21st century technologies on learning environments by answering such questions as: What affordances can artificial intelligence, human computer partnerships, and virtual reality bring to bear on our understanding of learning environments across the lifespan? How can learning technology impact accessibility, identity development, persistence, and perceptions, all within the current and future needs of society?

As the lead organization in this initiative, the Graduate School of Education seeks a candidate who would lead the effort to develop a team of scholars who share an interest in exploring how research can lead to better understandings of the interaction between technology, pedagogy, and environments while also considering the vital need to reduce persistent inequities. This initiative also serves UB’s goal of establishing, implementing, validating, and advocating pathways for translation and scaling of the best tested educational technologies within a diverse range of learning environments. The focus on translation and scaling of AI and other applicable technologies to problems of learning is critical to future priorities in learning across the lifespan. Central to the effectiveness of this initiative is a belief in the importance of cross-disciplinary translational research.

The University at Buffalo is New York State's largest and most comprehensive public university. A premier center for graduate and professional education, UB is a member of the prestigious Association of American Universities, placing it amongst the leading research-intensive public universities in the United States. Based upon their research and scholarly productivity, as well as key leadership roles served in professional associations, faculty members in the Graduate School of Education are acknowledged, both in the U.S. and abroad, as leaders in their respective fields.

Priority will be given to candidates who have an established track record in interdisciplinary research and demonstrated experience in directing a group of scholars with a shared intellectual purpose across multiple academic units. However, all scholars with significant interest are encouraged to apply. For full consideration, please submit an application before Oct. 30th.

Minimum Qualifications:
• An earned Ph.D. in a Learning Science related field (e.g., Education, Cognitive Psychology, Computer Science, Architecture)
• A record of scholarship in research that could be qualified as Learning Science
• Leadership and administrative experience
• Higher-education teaching experience

Preferred Qualifications:
• A successful record of external funding for Learning Science research
• Experience in developing or expanding course offerings in the Learning Sciences & related fields
• Successful experience working across multiple disciplines and fields.
• Evidence of leadership at the university and national level.
• Evidence of commitment to issues of equity, access, and culturally responsive education.

Required documents for applicant:
• A cover letter outlining your qualifications and interest in the position
• A separate document describing how you have worked to promote diversity, equity, and inclusion in your current position(s) and how you plan to continue to do so in the future
• curriculum vitae
• Three sample publications
• Contact information for three (3) references

For general help or questions about submissions
Contact Name: Marian Summa
Title: Department Assistant
Phone: 716-645-4342
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

For questions about the position
Contact Name: Sam Abramovich
Title: Associate Professor and Search Chair
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Phone: 716-645-3174

 

Two Assistant Professor (tenure-track) positions in Learning Sciences at the University at Buffalo, SUNY

Start date: August 2020

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 23/10/2019

The Graduate School of Education at the University at Buffalo, SUNY invites applications for two Assistant Professor (tenure-track) positions in the Learning Sciences, in the Department of Learning and Instruction. We seek a scholar with expertise in Mathematics Education for one position and Computer Science Education for the second position. The Department of Learning and Instruction has a long history of research excellence and a strong tradition of teaching and community engagement. Faculty demonstrate a commitment to creating a collegial academic environment characterized by equity, social justice, interdisciplinary collaboration, an ethic of care across all of their programs.

We seek candidates to join a collaborative group of scholars who are committed to engaging in research that addresses problems of practice through the Learning Sciences. We are particularly interested in scholars whose research and teaching seeks to investigate the following subject areas: designing or examining innovative classroom practices, creating and scaling solutions to real-life problems, exploring ways in which learning technologies serve to ameliorate or exacerbate educational and economic inequality, understanding issues facing students or teachers in urban and/or rural settings, exploring the intersections of cognition and emerging technologies on teaching and learning, and/or exploring learning technologies in sociocultural contexts.

Responsibilities include:
• Maintaining an active and productive research agenda commensurate with Research 1 tenure track faculty appointments
• Seeking external grant funding
• Teaching two courses per semester at the graduate level in Masters programs and PhD program related to candidate’s expertise
• Teaching and Advising Ed.M. and Ph.D. Students

Required Qualifications:
• A Ph.D. in the Learning Sciences or related field (including Education, Psychology, Cognitive Science, Computer Science, Mathematics, etc.)
• Content area expertise in either Mathematics or Computer Science

Preferred Qualifications:
• Strong potential for funding
• Published research or scholarship (or strong potential for publication)
• Experience and/or teaching in P-12 schools, particularly experience with diverse populations
• Experience with online teaching

Required documents for applicant:
• A cover letter that includes relevant qualifications for the position and research and teaching interests
• A 1-page statement describing how the applicant has worked to promote diversity, equity, and inclusion in previous position(s) as an educator/teacher, graduate student, or faculty member, and how the applicant might continue these efforts as a faculty member
• Curriculum vitae
• 1 sample publication
• Contact information for three (3) references

To review the complete position posting and to apply, please visit: http://www.ubjobs.buffalo.edu/postings/21525

Review of applications will begin immediately. Priority will be given to those received by October 23. Anticipated start date August 2020.

 

David J. Vitale Assistant/Associate Professor of Learning Sciences, Harvard Graduate School of Education

Application website: https://apply.interfolio.com/68078

Application deadline: 31/10/2019

The Harvard Graduate School of Education (HGSE) invites applications for a full-time faculty position focused on advancing an understanding of the learning process and the design of learning environments. The appointment will be at the rank of tenure-track Assistant or Associate (untenured) Professor, depending upon experience.

We seek scholars whose research, teaching, and impact in the field will advance one or more dimensions of the learning sciences, including but not limited to:

• developing theoretical understandings of learning and teaching in individual and/or social contexts;
• designing, implementing, and evaluating learning innovations in informal and formal environments; and
• improving approaches to teaching and learning for all people, with attention to learner variability and/or cultural contexts.

Strong applicants will be distinguished by the quality of their research, their use of rigorous methods, and the significance of their work for policy and practice.

We seek candidates who have the potential to make a powerful contribution to the core curriculum for our master’s and doctoral programs, by teaching required courses and recommended elective courses as part of specific program pathways. The ability to convey conceptual as well as practical knowledge beyond one’s own specific expertise is crucial. High-quality teaching is valued at HGSE, and the school has made a strong commitment to cultivating and supporting strong teaching practices among faculty.

Successful candidates will have an excellent record of rigorous scholarship and a commitment to teaching and mentoring. HGSE faculty at all ranks advise students and participate in institutional governance and service. Candidates should have an earned doctorate in the learning sciences, educational psychology, cognitive science, information sciences, education, or a related field, along with expertise and an established research agenda in the learning sciences.

The search committee will begin reviewing applications on October 15, 2019 and will continue until the position is filled. Please submit a CV, cover letter, research statement, teaching statement, writing samples, and the names and contact information for three references, via https://apply.interfolio.com/68078
Applicants who move to the next round will be asked to submit additional documents.

If you have any questions, please contact the Office of Faculty Affairs at This email address is being protected from spambots. You need JavaScript enabled to view it. or 617-495-3958.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

 

Director of The Learning Sciences Research Institute (LSRI), University of Illinois at Chicago

Time frame: Beginning August 2020

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 01/11/2019

The Learning Sciences Research Institute (LSRI) at the at the University of Illinois at Chicago (UIC) invites applications and nominations for the position of Director. The successful candidate will provide leadership for the institute and a vision for its continued excellence in research, teaching, service, and community engagement.

LSRI is dedicated to the support of multidisciplinary research on learning and teaching, and to the development and evaluation of learning environments, curriculum materials, teacher professional development, and educational practices appropriate for 21st century learning, including research and development focused on aspects of disciplinary teaching, learning, and assessment. One of the primary functions of LSRI is to facilitate the development of proposals for extramural research support and to administer and support those projects that successfully secure such funding. Most of the proposals developed in LSRI involve collaborations among multiple investigators representing various departments and units at UIC.

LSRI brings together a group of UIC researchers from three colleges (Liberal Arts and Sciences, Education, and Engineering) and over a dozen academic departments in an interdisciplinary program of research in the learning sciences. The research and development work at LSRI spans the space of activity from fundamental understandings of how people learn to the design of environments and technologies to promote learning. The Institute has generated over $100M of external research funding, is the former editorial home of the Journal of the Learning Sciences, and provides hundreds of professional development opportunities for educators from the Chicago Public Schools and other districts.

LSRI houses a PhD program in the Learning Sciences with a specific focus on the education of a new generation of researchers with dual expertise in the science of learning and a distinct disciplinary focus of their choosing. Students with expertise in fields as disparate as literacy, computer science, music, urban planning, chemistry, geography, and mathematics study together, bringing their unique disciplinary experience to challenge and broaden each other’s perspectives on the nature of learning and the implications for teaching and design.

The Director is the chief administrative officer of the institute with responsibility for instructional programs and for administrative, budgetary, promotion, and recruitment matters. The position also entails appointment as a faculty member in LSRI and in another academic unit that reflects the Director's disciplinary specialization. The successful candidate will have a PhD, a distinguished record of scholarship, evidence of excellent teaching, and appropriate academic administrative experience. A demonstrated ability to foster collaboration among a diverse group of scholars is desirable, as is a strong record of external funding and exemplary awards. The ideal Director will work with key units and communities at UIC and the Chicago metropolitan area to enhance the mission of the Institute, the College of Liberal Arts and Sciences, and the University.
The successful candidate must be a Full Professor or must possess a record of publication, teaching, and service that would merit promotion to Full upon hiring and academic appointment at UIC.

The desired appointment date is August 16, 2020. Salary is competitive based on qualifications. To apply, complete an on-line application and upload a cover letter, full curriculum vitae, and the names and full contact information of five references at https://jobs.uic.edu. Please click on the Job Board and then the position. For information about the application processes please contact Edward Drogos at This email address is being protected from spambots. You need JavaScript enabled to view it.. For further information about LSRI see the institute’s website https://lsri.uic.edu/. Applications should be received by October 4, 2019 to receive full consideration. Nominations for the position may be submitted to Edward Drogos at This email address is being protected from spambots. You need JavaScript enabled to view it. by no later than September 11, 2019.

UIC is a Carnegie Doctoral/Research-Extensive University located in the heart of one of the nation's largest metropolitan areas. It is a comprehensive public university with a diverse student body of more than 29,000 undergraduate, graduate, and professional students. UIC is federally recognized as a Minority Serving Institution (MSI) through its status as an Asian American and Native American Pacific Islander Serving Institution (AANAPISI) and a Hispanic Serving Institution (HSI), fully funded by the U.S. Department of Education.

The University of Illinois at Chicago is an affirmative action/equal opportunity employer, dedicated to the goal of building a culturally diverse, pluralistic faculty and staff committed to teaching in a multicultural environment. We strongly encourage applications from women, minorities, individuals with disabilities and covered veterans. The University of Illinois may conduct background checks on all job candidates upon acceptance of a contingent offer. Background checks will be performed in compliance with the Fair Credit Reporting Act.

 

Postdoctoral positions at CIAE Universidad de Chile

Time frame: one year

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 31/10/2019

Postdoctoral position at CIAE Universidad de Chile.
Four postdoctoral positions are being offered at the Center for Advanced Research in Education (CIAE) at the Institute of Education of the Universidad de Chile, located in the city of Santiago, the capital of Chile. The positions are in any of the following research areas:
• Teaching and Learning of Language and Literacy
• Teaching of School Writing and Teacher Professional Development
• Teaching and Learning on Integrated STEM
• Early Childhood Education
• Learning and Cognition
• Education Policies
For more details about positions and areas please go to http://www.ciae.uchile.cl/index.php?page=view_postulacion_201910_postdoc_ensenanza_aprendizaje&langSite=es

Candidates should exhibit evidence of outstanding research results and should have received their PhD before October 31, 2019 and after October 31, 2015.
The position is for full-time research activity, with no teaching duties. The preparation of the candidates and their interests should enable them to contribute to the research agenda of CIAE.
CIAE will cover flight tickets, and will pay a monthly salary of Ch$1,800,000 (before taxes, around US$2,700).
The application process will be opened until October 31st, 2019.
After completing the application form you will receive a confirmation email with a link that you must send to the people who will write your recommendation letters.
Applications for which two recommendations are not received by the application deadline will not be considered.

http://www.ciae.uchile.cl/index.php?page=view_postulacion_201910_postdoc_ensenanza_aprendizaje&langSite=es

 

Teaching Assistant Professor in Computer Science Education, University of Illinois Urbana Champaign

Start date: August 2020

Contact:This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 15/10/2019

The Department of Curriculum and Instruction at the University of Illinois at Urbana-Champaign is seeking candidates for a teaching assistant professor position with a focus on Computer Science Education. This is a full-time, academic year (9 month paid over 12 months) non-tenure track position.

Details: https://jobs.illinois.edu/academic-job-board/job-details?jobID=121009&job=college-of-education-teaching-assistant-professor-computer-science-education-121009

 

Associate/Assistant Professor Position in Learning Sciences & Technologies, Worcester Polytechnic Institute

Application deadline: 21/12/2019

Time Frame: Beginning summer 2020

The Department of Social Science & Policy Studies (SSPS) and the Learning Sciences and Technologies Program (LS&T) at Worcester Polytechnic Institute (WPI) announces an Associate/Assistant Tenured/Tenure-Track position in the Learning Sciences to begin August 2020. Candidates should have a doctorate in Learning Sciences, Psychology, Education or a related field (e.g., Cognitive Science). WPI is committed to fostering a diverse and inclusive campus community.

The ideal candidate should have a strong program of fundable interdisciplinary research (e.g Institute of Education Sciences, NSF, and other agencies) and have experience teaching undergraduate and graduate courses in the learning sciences. The candidate’s research should complement our current research strengths in: technology for STEM learning/assessment, mathematics cognition, embodied design, game-based learning environments, educational data mining, and intelligent tutoring systems. Fundamentally, the LS&T faculty are looking for collaborators to advance our goal of improving K-16 education with learning innovations.

The selected candidate will teach courses in our LS&T graduate program as well as teach courses in and be a member of our undergraduate program in Psychological Sciences (e.g., Educational, Cognitive, or Developmental Psychology). In addition, the new faculty member will be expected to advise graduate and undergraduate students and be invited to create new courses in areas of interest.

The WPI LS&T program, funded by over $10 million in grants annually and is nationally recognized as one of the top programs related to Learning Science and Technologies research. The WPI LS&T program is an interdisciplinary program comprising core faculty from SSPS, Computer Science, and Mathematical Sciences. The faculty also collaborate with WPI’s STEM Education Center. Our websites provide additional information about the Learning Sciences & Technologies graduate program (MS and PhD) (https://www.wpi.edu/academics/departments/learning-sciences-technologies), SSPS Department (https://www.wpi.edu/academics/departments/social-science-policy-studies), and WPI’s STEM Education Center (https://www.wpi.edu/academics/stem-education-center). 


Applications should include (1) a cover letter describing your interests in the position and related experiences in research and teaching (2) a statement outlining research/scholarship activity, (3) a statement describing teaching philosophy, advising, and service, (4) a CV, (5) 2 sample publications that best represent your work, and (6) the names of three referees who will submit letters of recommendation. Applicants should be sure to include information concerning their commitment to/experience with diversity, equity, and inclusion in any area of professional life.

Applicants interested in this position should direct inquiries to Erin Ottmar (This email address is being protected from spambots. You need JavaScript enabled to view it.) or Neil Heffernan (This email address is being protected from spambots. You need JavaScript enabled to view it.), chairs of the LS&T Search Committee..

Review of applications will begin immediately and will continue until the position is filled.

 

Professor of Mathematics, Savannah College of Art and Design

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Time frame: Fall 2019

SCAD seeks Professor of Mathematics to conduct classes for enrolled students in the area of mathematics. Master's degree in mathematics or related field of study. Resume to Erin Powell, SCAD, 618 Drayton Street, Savannah, GA, 31401.

Note: Resumes by mail only, please

 

Research Scientist (mid-career) at CAST, Inc

ContactThis email address is being protected from spambots. You need JavaScript enabled to view it.

Research Scientist (Mid-Career) is well established in the larger education R & D community, regarded as an expert, and able to secure funds and partnerships. He/she will serve in a critical innovation and research role for the organization. Mid-Career Research Scientists typically have 6 to 11 years of experience postdoctoral work in academia or industry. Research Scientists at CAST (www.cast.org) are responsible for managing research and development projects, including budgets, staff, project activities and maintaining regular communications with project officers and funders.

 

Assistant Professor in Educational Psychology foundations and/or Learning Sciences, University of Nevada, Las Vegas

Review of applications: begin 9/1/19 for position starting Fall, 2020

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

The Department of Educational Psychology and Higher Education at the University of Nevada, Las Vegas seeks a tenure-track faculty to join the Educational Psychology program and/or the Learning Sciences program at the rank of Assistant professor. The individual hired will represent expertise and skills outlined in the qualifications section of this announcement. The individual hired will be expected to teach graduate level courses in their areas of expertise/specialization. The individual hired will also be expected to teach existing courses in quantitative methods, intermediate and advanced statistics, cognition and learning, or self-regulated learning. In addition, the selected candidate will be expected to advise students, conduct research and publish in scholarly journals, seek and obtain external funding, and perform university and national/international service. We are particularly interested in individuals who will contribute to the University’s developing campus-wide initiatives surrounding the application of learning analytics to improve college student success.

QUALIFICATIONS
The position requires an earned doctorate in Educational Psychology, the Learning Sciences, Educational Statistics, or a related field from a regionally accredited college or university at the time of appointment. Preference will be given to candidates with research programs in one or more of the following areas: (a) learning analytics; (b) advanced quantitative statistical modeling or other areas of educational statistics; or (c) cognition and learning, technology, metacognition, self-regulated learning, or motivation. Experience working in STEM (Science, Technology, Engineering, and Mathematics) fields or conducting research on success in STEM is desirable. Additional desirable qualifications include strong quantitative skills applied to working with large databases and/or the design of online or face-to-face learning environments that are responsive to learner needs. A history of successful collaborative partnerships related to the application of foundational knowledge to improve educational systems or interest in contributing to applied partnerships is desired. Applicants should demonstrate a successful record of publication in top journals in their respective fields. A record of securing extramural grant funding is desirable.

Credentials must be obtained prior to the start of employment.

SALARY RANGE
Salary competitive with those at similarly situated institutions. Position is contingent upon funding.

APPLICATION DETAILS
https://nshe.wd1.myworkdayjobs.com/UNLV-External/job/UNLV1-Maryland-Campus/Assistant-Associate-Full-Professor-Educational-Assessment--Evaluation--And-Research--UNLV-Educational-Psychology-and-Higher-Education_R0111369

 

Post-docs/Research Scientist in Physics Education, Michigan State University

Duration: October 15, 2019 - October 14, 2020

Application Deadline: 15/08/2019

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Applications are invited for a research associate in Physics Education in the Department of Physics and Astronomy at Michigan State University for the fall of 2019. The successful candidate for the current position will work on a team analyzing interviews and observational data from science students from a critical theory and socialized narratives perspective. Data is drawn from area two-year colleges and cohort programs designed to support diverse student populations in earning STEM bachelor degrees.

Responsibilities include working in coordination with faculty at Washtenaw Community College, Mott Community College, and faculty in the College of Natural Sciences at Michigan State to:
 develop and conduct interviews/observational studies at all three institutions about students’ mindset and self-efficacy to complete a natural science degree;
 code and analyze interviews and observational data with students from across the colleges;
 utilize findings to inform program design and revision;
 publish findings in physics and other science education journals.

The candidate will collaborate with faculty, post-docs, and graduate students in the Physics Education Research Lab (http://perl.pa.msu.edu/). The Physics Education Research Lab at MSU is a dynamic community that includes 5 principal faculty, 4 research associates, 8 graduate students, and several undergraduate students. The appointment is initially for one year, with the possibility of 1-year extension, based on performance and the availability of funding. The salary will be competitive and commensurate with experience. Appointment is contingent upon successfully completing a full background check.

Candidates are expected to hold a Ph.D. in physics education, science education, the learning sciences, or a closely related field with preference to candidates with graduate or postdoctoral experience in the area of qualitative analysis and racialized narratives. Explicit experience with critical theory and socialized narratives is not required. These theories are a substantial component of this project, those interested in learning should still apply. The successful candidate will demonstrate outstanding mentoring skills, strong learning theories background, excellent writing skills, and the ability to work with undergraduate students, grad students, faculty, and staff in a collaborative environment. Applicants should submit a CV, and a statement of research interests to jobs.msu.edu (posting #593727). In addition, applicants should arrange for three (3) letters of recommendation to be submitted to the same posting. Questions regarding the position may be directed to Prof. Vashti Sawtelle, co-director of the Physics Education Research Lab at MSU, This email address is being protected from spambots. You need JavaScript enabled to view it..

MSU is an Affirmative Action/Equal Opportunity Employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans, and persons with disabilities.

 

Assistant Professor of Learning Sciences at the University of Wisconsin-Madison

Application deadline:14/10/2019

Time Frame: Starting August 2020

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

For details, please visit: https://jobs.hr.wisc.edu/en-us/job/502162/assistant-professor-of-learning-sciences

 

Research Associate position in XR (VR/AR/MR) and Immersive Learning

Application deadline: 02/08/2019 or when the position is filled

Duration: 6-month fixed-term, 20 hours/week

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

The Immersive Learning Research Network (iLRN at http://immersivelrn.org) is an international organization of educators, developers, and researchers collaborating to develop the scientific, technical, and applied potential of immersive learning, particularly with the help of virtual reality (VR), augmented reality (AR), mixed reality (MR), and other related technologies (collectively known as “XR”). iLRN recently launched the State of XR and Immersive Learning project, which combines a systematic review and synthesis of the scholarly knowledge/evidence on XR and immersive learning with a Delphi-inspired environmental scanning and forecasting exercise in the vein of the well-known New Media Consortium (NMC, now EDUCAUSE) Horizon project. Planned for release in early 2020, the inaugural State of XR and Immersive Learning Report is being produced by iLRN in collaboration with the IEEE ICICLE XR for Learning and Performance Augmentation SIG, EDUCAUSE, and the Consortium for School Networking. Sponsors of the project include Adobe, Dassault Systèmes SolidWorks Corporation, HP, SpringboardVR, Unity Technologies, and zSpace.

iLRN is looking to appoint a Research Associate to work on the State of XR and Immersive Learning project as well as to support other, related iLRN activities for a six-month period beginning in August 2019. The role is part time (20 hours per week) and its primary responsibilities include:

  • creating and maintaining an up-to-date database of scholarly literature and other readings relevant to XR and immersive learning
  • developing systems and processes to facilitate the solicitation, review, and curation of XR and immersive learning case studies, examples, and resources
  • managing an online community of scholars and practitioners with an interest in XR and immersive learning
  • organizing and providing administrative support for meetings of the project team and other stakeholders
  • undertaking various forms of data collection and analysis for the project
  • assisting with the writing of reports and of publications arising from the project
  • assisting with promotion of the project and dissemination of its outputs
  • performing other supportive tasks in service of the project goals and/or of the broader mission, vision, and objectives of iLRN.

The successful candidate will possess the following:

  • Graduate-level qualifications (or completing graduate qualification) in educational psychology, educational technology, learning science, human performance improvement, or a related discipline (Essential)
  • Excellent written and interpersonal communication skills (Essential)
  • Experience working on education and/or educational technology research projects (Essential)
  • Demonstrated ability to critically and systematically analyze educational literature (Essential)
  • Ability to operate and innovate with educational technologies (Essential)
  • Proven ability to work independently to meet objectives and deadlines (Essential)
  • XR technical development and design skills (Highly desirable, but not essential)
  • 2D and 3D art skills (Highly desirable, but not essential)
  • Track record of publications in peer-reviewed journals (Highly desirable, but not essential)

Interested candidates should send their CV, along with two academic writing samples and a cover letter addressing the above criteria, to the project leader, Mark J. W. Lee, at This email address is being protected from spambots. You need JavaScript enabled to view it., with the subject “Research Associate position application”.

A competitive hourly rate will be offered that is commensurate with the candidate’s qualifications and experience. There is also the possibility of undertaking additional duties for iLRN and other organizations with which the project leader is affiliated in order to supplement the remuneration derived from this 20-hour/week position.

 

 

Lecturer (equivalent to Assistant Prof.) Position at University of Auckland, New Zealand

Application deadline: 06/07/2019

Start date: January 2020 (negotiable)

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

The Department of Mathematics at the University of Auckland, New Zealand invites outstanding researchers to joint our vibrant research in the Mathematics Education Unit focusing on university mathematics learning and teaching. We are seeking to fill a full-time tenure track position at the Lecturer level (equivalent to Assistant Professor in the USA system). We welcome applications from excellent researchers who are interested in joining our faculty and contributing through innovative research (theoretical and empirical), high-quality teaching and service. The candidate’s research expertise should complement and enhance the existing research strengths in the Mathematics Education Unit.

About the Role
Candidates are expected to develop and lead innovative research programmes, collaborate with other researchers within and outside the University, supervise graduate students (domestic and international), teach undergraduate courses in mathematics and mathematics education and graduate courses in mathematics education, and apply for competitive research grants. Skills and Experience Our ideal candidate will have • A PhD in Mathematics Education or a closely related field
• Demonstrated excellent international contribution to scholarly Mathematics Education • Publication record in first-tier international research journals in Mathematics Education • Evidence of a strong mathematics background sufficient to teach stage one university-level mathematics
• Teaching experience at undergraduate level, including the design and development of teaching resources, preferably in English

About Us
The Department of Mathematics is the largest and strongest Mathematics Department in NZ. It offers programmes in Mathematics, Applied Mathematics, and Mathematics Education. The interaction between research mathematics and mathematics education is an important feature of this environment. The Department of Mathematics has a large PhD programme and a vibrant research culture. More details are available at <http://www.math.auckland.ac.nz/>. The University of Auckland is New Zealand’s leading university. The Department of Mathematics strives to provide a collegial work environment that promotes a healthy work-life balance and a stimulating research atmosphere. It is committed to achieving a better gender balance as well as being more inclusive for under-represented minorities.

The position would be available to start from January 2020 (negotiable).
Informal enquiries about the position and the Mathematics Education Unit may be directed to the Head of the Mathematics Education Unit, Dr Igor’ Kontorovich <This email address is being protected from spambots. You need JavaScript enabled to view it.>. More general enquiries about the Department and the University may be made to the Head of Department, Prof Steven Galbraith <This email address is being protected from spambots. You need JavaScript enabled to view it.>. Please note we are happy to answer your questions but we do not accept applications by email.

How to Apply
Applications must be submitted online, by the closing date of Sunday 7th July (11.59pm NZT) to be considered. Please include the following combined as one document.
1. Short Cover letter
2. Curriculum vitae detailing a full list of publications, grants, and administration/service performed.
3. Teaching statement that lists teaching duties to date, student evaluations, and also a discussion of any innovations in teaching and/or experience with the design and development of teaching resources.
4. Names and email addresses of three academic referees who may be contacted at the later stage in support of your application.
For further information go to www.auckland.ac.nz/opportunitiess to view the position description and FAQ.

FAQs
Q: What is the ratio of Research:Teaching:Service in this job?
A: The ratio is 40% Research : 40% Teaching : 20% Service.

Q: What kind of support is there for research?
A: Research is highly valued and supported in the department. Lecturers are encouraged to apply for internal and external research funds, and are eligible for international research travel grants and sabbaticals. There is a high level of support for new lecturers in applying for and obtaining early career research grants.

Q: What kind of international research collaboration can I realistically expect in Auckland?
MEU academics are actively involved in collaborating with international researchers, and we regularly host visits from prominent international mathematics educators. Recent visitors include: Anna Sfard, Barbara Jaworski, Ferdinando Arzarello, Merrilyn Goos, Celia Hoyles, Richard Noss, Colette and Jean-Marie Laborde, Barbara and Robert Reys, Alan Schoenfeld, Frank Lester, Michele Artigue, and others. There are many funds available to attend international conferences and collaborations, and MEU academics are highly supported to establish and maintain strong international research networks through generous sabbatical leave and flexible teaching schedules.
https://www.math.auckland.ac.nz/en/about/our-research/research-groups/mathematics-education.html

Q: What is the typical teaching load for one year?
A: A typical load is 2 courses per year. This can be reduced using teaching buyout from external grants, and significant service roles.

Q: What courses would I teach?
A: You would be expected to teach the following types of courses:
- Undergraduate mathematics courses, which include topics such as calculus and linear algebra.
- Undergraduate mathematics education courses
https://www.math.auckland.ac.nz/en/about/our-courses/undergraduate-courses.html
- Postgraduate mathematics education courses, which include topics such as Theories in Mathematics Education, Research Methods in Mathematics Education, Mathematical Processes, and others.
https://www.math.auckland.ac.nz/en/about/our-courses/postgraduate-courses.html

Q: How much interaction would I have with teachers?
A: We have strong links with secondary school teachers in the wider Auckland community. However, this position does not involve pre-service teacher education. The mathematics education courses mentioned above can serve as a pipeline for undergraduate and postgraduate mathematics students who may go on to study at the Faculty of Education to become secondary school teachers. Many secondary school mathematics teachers take the postgraduate courses and enrol in Master and PhD degrees as part of their in-service professional development.

Q: What is it like living in Auckland, New Zealand?
A: Auckland offers an attractive lifestyle. The city is built on a narrow isthmus between two harbours and is surrounded by 11 dormant volcanoes and numerous picturesque islands. Auckland is nicknamed the 'City of Sails' because of the high number of yachts that sail in the harbours and the adjoining Hauraki Gulf. To the west of the city, the Waitakere Ranges rainforest forms a gateway to magnificent west coast surf beaches and an abundance of forest walks. Auckland is a city with a rich cosmopolitan mix of peoples and temperate climate.

Q: Do I get some assistance with the relocation process?
A: Definitely. The University of Auckland provides a generous relocation package that includes professional assistance with applying for a work visa; airfares for you, your partner and dependent children, and shipment of household effects on a door-to-door basis. In addition, you will be provided with accommodation for up to 21 days immediately following arrival, a rental car for two weeks and an orientation tour of Auckland.

 

Program Officer/Senior Program Officer, James S. McDonnell Foundation

Start date: Immediate

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: 01/09/2019

https://www.jsmf.org/assets/2019/JSMF__Senior_Program_Officer_Job_Description.pdf

This is an excellent career opportunity for a PhD with research experience and interest helping direct an exciting new grant program for funding and disseminating cutting edge translational education research! The James S. McDonnell Foundation (JSMF) has funded research that has been central to the Learning Sciences and for advancing education research and practice. The person would interact with members of the Advisory Panel and current and future PIs to ensure a successful grants program.

“The JSMF Program Officer / Senior Program Officer for the Teachers as Learners program is expected to take the lead and advance the goals of the program including developing a corpus of accumulated and shared knowledge that can be shared across the educational sector (including funders and other non-profits) and working with the funded research teams to build cross-project integration of theories, data, and tools. The Program Officer / Senior Project Officer will also have the responsibility of developing and implementing outreach efforts for the purpose of partnership building and knowledge dissemination to the broader educational community. Overall, the Program Officer / Senior Program Officer is expected to contribute to the generation of more effective classroom practices informed by a deep understanding of teacher learning.

For the role of Program Officer / Senior Program Officer, JSMF is looking for an individual with excellent communications skills, a proven track record in network building and information dissemination (particularly via non-academic outlets such as social media), and an ability to grow professionally to meet the challenges of supporting the Teachers as Learners program. The successful candidate possesses fluency with cognitive and educational research on teacher learning and/or professional learning and understands the multi-level structure of the educational system particularly through the experience teaching in K-12 classrooms.”

I am happy to discuss my experience with the TaL program and the Foundation with interested applicants.
For specific questions about the position, please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

 

 

 

 

 

 

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