Postdoctoral Researcher in Machine Learning / NLP for Education
École polytechnique fédérale de Lausanne, EPFL
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe
and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main
missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working
environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000
researchers from more than 120 different countries.
Postdoctoral Researcher in Machine Learning / NLP for Education
Mission
Over the past 10 years, AI/ML has deeply revolutionized fields where data can be easily collected and used to discover
complex patterns and relationships that would otherwise escape the human mind. Recent advances in generative AI, in
particular large language models have accelerated the digital transformation of education. Are you interested in
developing AI models able to understand and improve human learning? Do you want to join us on the exciting journey of
transforming education through high-impact research?
The EPFL Machine Learning for Education laboratory ( ML4ED , led by Prof. Tanja Käser) is looking to hire a
postdoctoral researcher candidate in machine learning / NLP for education . Areas of interest include reinforcement
learning, time series modeling, language modeling, and recommender systems. You will have the opportunity to work in a
highly talented and motivated EPFL research group. You will lead innovative projects at the intersection of machine
learning and education and be able to directly observe the impact of your research in the field. There will be
opportunities to organize and supervise Master’s and Bachelor’s students (individually or in teams), and to mentor PhD
students. There will be large-scale computing resources (e.g., 100+ high-memory A100 GPUs) available to execute your
agenda.
Main duties and responsibilities
- Conduct novel research at the intersection of NLP and education;
- Participate in the supervision of Master’s and PhD students;
- Participate in the writing of articles and of other documents related to research activities;
- Participate in the teaching activities of the lab (assistance of exercises, exam correction, supervision of research
project students);
- Support the logistic activities of the lab.
Profile
- PhD in computer science, data science, computational linguistics, or other related technical fields
- Strong scientific background and a proven publication record in machine learning, natural language processing,
and/or artificial intelligence
- Prior experience on working with educational data will be considered an asset and an interest in education is a must
- Communication skills in English are required
We offer
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 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 100 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, offering
attractive working conditions (benefits overview & salary conditions).
Information
Start date: flexible (before fall 2025).
Term of employment : fixed-term (CDD)
Work rate: 100%.
Duration: 1 year, renewable up to 4 years
and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main
missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working
environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000
researchers from more than 120 different countries.
Postdoctoral Researcher in Machine Learning / NLP for Education
Mission
Over the past 10 years, AI/ML has deeply revolutionized fields where data can be easily collected and used to discover
complex patterns and relationships that would otherwise escape the human mind. Recent advances in generative AI, in
particular large language models have accelerated the digital transformation of education. Are you interested in
developing AI models able to understand and improve human learning? Do you want to join us on the exciting journey of
transforming education through high-impact research?
The EPFL Machine Learning for Education laboratory ( ML4ED , led by Prof. Tanja Käser) is looking to hire a
postdoctoral researcher candidate in machine learning / NLP for education . Areas of interest include reinforcement
learning, time series modeling, language modeling, and recommender systems. You will have the opportunity to work in a
highly talented and motivated EPFL research group. You will lead innovative projects at the intersection of machine
learning and education and be able to directly observe the impact of your research in the field. There will be
opportunities to organize and supervise Master’s and Bachelor’s students (individually or in teams), and to mentor PhD
students. There will be large-scale computing resources (e.g., 100+ high-memory A100 GPUs) available to execute your
agenda.
Main duties and responsibilities
- Conduct novel research at the intersection of NLP and education;
- Participate in the supervision of Master’s and PhD students;
- Participate in the writing of articles and of other documents related to research activities;
- Participate in the teaching activities of the lab (assistance of exercises, exam correction, supervision of research
project students);
- Support the logistic activities of the lab.
Profile
- PhD in computer science, data science, computational linguistics, or other related technical fields
- Strong scientific background and a proven publication record in machine learning, natural language processing,
and/or artificial intelligence
- Prior experience on working with educational data will be considered an asset and an interest in education is a must
- Communication skills in English are required
We offer
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 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 100 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, offering
attractive working conditions (benefits overview & salary conditions).
Information
Start date: flexible (before fall 2025).
Term of employment : fixed-term (CDD)
Work rate: 100%.
Duration: 1 year, renewable up to 4 years