Postdoctoral Fellow, La Brea Tar Pits (in Collaboration with USC)
Natural History Museums of LA County and La Brea Tar Pits
Hey folks,
A postdoc position has opened on a project that I co-PI, which researching augmented reality (AR) interactions. This project is an NSF AISL collaborative grant with La Brea Tar Pits and Museum, who is filling the position, and also a collaboration with USC Rossier School of Education.
For full information on the position, please see:
https://nhm.org/careers-our-museums/careers-natural-history-museum
Or the direct link at:
https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=2fc0a355-012e-4bef-9c85-724ae074a06a&ccId=19000101_000001&jobId=416438&source=CC2&lang=en_US
Please read the full position details for more information. Interested applicants should send a cover letter, CV, and the contact information for three professional references to mrim@nhm.org.
The application deadline is July 19th 2021. Expected start date is September 1st 2021.
Link:
https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=2fc0a355-012e-4bef-9c85-724ae074a06a&ccId=19000101_000001&jobId=416438&source=CC2&lang=en_US
PhD position, 36-months: Computer Science, Artificial Intelligence, E-Education
IMT Atlantique, Lab-STICC
Supporting Self-Regulation Learning Using Dynamic Bayesian Networks
We seek for a modelling approach following these three steps:
1) Define relevant features for predicting students’ SRL classifications. This may include theoretical aspects of the SRL process, as well as knowledge about interactions with the learning environment.
2) Design and develop a DBN on the basis of these well-defined features.
3) Design understandable learning visualisations using an OLM approach to allow the user (learner, teacher, ...) for viewing content and making decisions.
These three main steps will guide the development of a predictive model that will be informed from empirical corpus data as well as a theoretical understanding of a self-regulated process.
Candidate Profile
The candidate should hold a Master 2 degree or an Engineer degree (Bac+5) in Computer Science, with a good background in Machine Learning and Data Science.
Recruitment requirements:
- Good knowledge in Bayesian Networks or Probabilistic Graphical Models is appreciated.
- Good relational skills.
- High interest for research in Artificial Intelligence and E-Education (AIED) domains.
Link:
https://labsticc.fr/en/lab-sticc/job-offers/phd-position-36-months-computer-science-artificial-intelligence-e-education
PhD position
University of Massachusetts Amherst
Research in machine learning for education at UMass Amherst. We focus more on methodology development than analytics. We work on topics including student modeling (in math learning/language acquisition/etc.), content recommendation and generation, open-ended response/process data analysis, and the future of work. See the link for details on our recent research directions.
Link:
https://people.umass.edu/~andrewlan/publications.html
Senior Data Scientist
Age of Learning
We are seeking a strong, highly motivated, results-oriented Senior Data Scientist to help conduct in-depth analyses and derive relevant insights. You will be an integral part of the Product Analytics team that supports our flagship product, ABCmouse.com®, and your work will have a strong impact in influencing Product Management and Senior Executives through actionable business/roadmap recommendations that ultimately help children learn!
Company Overview:
Age of Learning is a leading education technology innovator based in Glendale, California, with a talented team of more than 600 individuals comprised of nationally-renowned educators, curriculum experts, developers, artists, writers, designers, engineers, producers, product managers, analysts and marketing experts! Together we develop engaging, effective digital learning technology and content to help children build a strong academic foundation for lifelong success.
See the full job description at the link below:
https://jobs.lever.co/aofl/6b6229ec-aa48-457f-8fcf-534730eb4e24
Link:
https://jobs.lever.co/aofl/6b6229ec-aa48-457f-8fcf-534730eb4e24
Research opportunities (Postdoctoral fellow, Ph.D. position, and internships)
Machine Teaching Group at MPI-SWS
Dear all,
We have several research positions available in our group in the areas of EDM and AIED. If you are interested, please reach out to me via email.
Thanks,
Adish
Link:
https://machineteaching.mpi-sws.org/
PhD Position
SUNY Albany
On educational recommender systems in a fun group: https://persai-lab.github.io/people
Link:
http://www.cs.albany.edu/~sherry/opportunities.php
Postdoc in Educational Data Mining
EPFL
Dear all,
We are looking for a postdoc in educational data mining at EPFL. Research topics at our lab include personalization in open-ended learning environments, reinforcement learning for education, early performance prediction, and transferability/generalizability.
In case of interest, please contact me directly via email (or talk to me during coffee break;-)).
Best,
Tanja
Link:
https://www.epfl.ch/labs/d-vet/
PhD Position in CS @ Santa Clara University
SCU
I am looking for one highly motivated Ph.D. student who has strong interest in pursuing research careers in areas of Data Sciences, Informatics & Computational Technologies for Learning.
**Research topics** Admitted students will be enrolled in the doctoral program in CS, Santa Clara University, and will work with me on developing innovative methods in: Data Mining, Visual Analytics, Data Visualization, Educational Technologies, Adaptive Educational Systems, Human Computer Interaction,and other related topics.
**Preferable background** Students with diverse backgrounds are encouraged to apply. The selected candidates should demonstrate strong interests and relevant training/skills including:
* Completed B.S./M.S. degree(s) in one of these disciplines: Information Sciences, Informatics, Information System Engineering, Applied Statistics, Computer/Information Science, Behavioral Science, and Quantitative Social Sciences.
* Good verbal and written skills in English
* Prior knowledge in Data Mining, Text Mining, some Information Retrieval, and Social Network Analysis
* Experience with computational environments (R, Matlab); programming skills in scripting languages (Python, Javascript, etc) and/or in major languages (Java preferred or C); knowledge of Databases (MySQL, etc.)
Link:
https://scholar.google.com/citations?user=rcjc5I4AAAAJ&hl=en
Multiple Openings
Educational Testing Service
Associate Research & Development Data Scientist
Data Scientist, Language, Learning, Teaching & Assessment
Research Scientist
Senior R&D UX/UI Specialist
Managing Senior AI Engineer
Link:
https://etscareers.pereless.com/index.cfm?cid=83080&fuseaction=83080.viewjobs¬es_id=17769
