Postdoc positions in Machine Learning for Education

The EPFL Machine Learning for Education (ML4ED, led by Prof. Tanja Käser) has two open postdoc positions. Our lab performs research at the intersection of machine learning, data mining, and education. We are interested in understanding and improving human learning through the creation of accurate models of human behaviour and learning. One of the lab’s main focuses is the digital transformation of vocational education and training in Switzerland.

The first position will be joint with the NLP (led by Prof. Antoine Bosselut) lab. For this position, we are looking to hire a postdoctoral researcher candidate in the area of recommender systems, reinforcement learning (for education), and machine learning for education. You will have the opportunity to work at the intersection of two highly talented and motivated EPFL research groups. You will lead innovative research projects in collaboration with Swiss industry, and be able to dedicate time to pursue additional research projects on any topic of your choosing.

For the second position, we are looking to hire a postdoctoral researcher candidate in the general area of machine learning for education. Main topics of interest are student modeling and reinforcement learning. You will be able to work in a highly talented an motivated EPFL research lab that has access to a variety of learning environments and data sets.

Qualifications:

Applications should have completed or be close to completing a PhD in computer science, information science, or other related technical fields. We expect a strong scientific background and a proven publication record in machine learning, natural language processing, artificial intelligence, data mining, or statistics with a focus on educational data. Excellent communication skills in English are required.

Pay / Benefits:

• Pay during the first year will be around 83’600 CHF and increase by 1’500 CHF per year.
• Five weeks of vacation time / year (mandatory)
• Accident Insurance
• Retirement benefits

EPFL:

EPFL ranks among the world’s top universities in computer science, and in machine learning in particular. It is located in Lausanne, Switzerland, a beautiful and vibrant city in an Alpine setting on the shores of scenic Lake Geneva, in the very heart of Europe. EPFL provides an interdisciplinary research setting in digital education, which is unique in Europe. The ML4ED lab is a partner of the EPFL Center for Learning Sciences, which brings together multiple initiatives on digital education. EPFL has produced over 80 MOOCs gathering over 2 million registrations worldwide, opened an extension school, sold over 40’000 robots to schools for learning to program, conducted research on technologies for vocational education, eye tracking, HCI, AR, tangibles, analytics, etc. and produced cutting edge research in many sectors of educational technologies. English is the main language spoken at EPFL, and Lausanne is highly international, such that no French language skills are required. EPFL is an equal opportunity employer.

Application:

Please fill out this Google Form.

Note: the application form requires a Google Account. If you are not able to access a Google Account, please send the following by e-mail to  tanja.kaeser@epfl.ch with the subject heading [EPFL ML4ED Postdoc Application]:

• CV (including list of publications)
• Two representative publications / preprints
• Webpage / Google Scholar / Semantic Scholar links
• Contact information for two willing reference letter writers
• Short Cover Letter

Questions:

Please feel free to contact tanja.kaeser@epfl.ch.