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Postdoctoral Researcher in Machine Learning
emploi.epfl.ch
On-site Lead From CHF 88k/yr 5d ago
About the role
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?
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
- Applicants should have completed or be close to completing a PhD in computer science, data science, computational linguistics, or other related technical fields. We expect a 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).
Informations
- Remuneration and Benefits include:
- 1st year’ salary will be around 87 900 CHF and increase by 1 500 CHF per year.
- Five weeks of vacation time / year (mandatory).
- Accident Insurance.
- Retirement benefits.
Start date
flexible (before fall 2025).
Term of employment
fixed‑term (CDD)
Work rate
100 %.
Duration
1 year, renewable
Requirements
- Strong scientific background and a proven publication record in machine learning, natural language processing, and/or artificial intelligence
- Communication skills in English are required
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
Benefits
Accident InsuranceRetirement benefits
Skills
AIgenerative AIlarge language modelsmachine learningNLPnatural language processing
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