Postdoctoral Researcher in Fundamental Machine Learning F/M

Robot Learning & Interaction Group; Unterwallis; Vor Ort; CHF 90.000 - 110.000; Vollzeit

Zusammenfassung

Idiap Research Institute's Machine Learning Group in Martigny, Switzerland invites applications for a postdoctoral researcher to contribute to fundamental questions in machine learning and deep learning. The position is fully funded and the candidate will conduct independent research while collaborating with group members.

The role offers opportunities to co-supervise Master’s and PhD students, participate in collaborations with international partners, and gain experience in acquiring research

Qualifikationen

• A strong track record of rigorous research, evidenced by publications at major AI/ML/CV/NLP venues.
• A PhD (or equivalent research experience) in a relevant field such as computer science, engineering, applied mathematics, physics, or related disciplines.
• Strong programming skills.
• Strong written and verbal communication skills in English.

Aufgaben

• Conduct independent research within the Machine Learning Group at Idiap, contributing to fundamental questions in ML and DL.
• Collaborate with group members and supervise/mentors where appropriate, contributing to project deliverables.
• Participate in ongoing collaborations with international partners and pursue opportunities to acquire research funding.

Kenntnisse

Strong programming skills

Publications in AI/ML venues

PhD in CS/engineering/math/physics

English communication skills

Ausbildung

PhD (or equivalent)

Jobbeschreibung

Role Summary

The Machine Learning Group at the Idiap Research Institute (Martigny, Switzerland) has an open position for a postdoctoral researcher to contribute to our work on fundamental questions in machine learning and deep learning. Examples of our recent work are provided below. The position is fully funded. The candidate will be expected to conduct independent research while collaborating with members of our group.

Various optional opportunities for career development will be available, including the possibility to co-supervise Master's and PhD students, participate in ongoing collaborations with our international partners, and gain experience in the acquisition of research funding.

More information

Work time: Full time

Contract type: Temporary, 1 year (negotiable/renewable contingent on performance)

Location: Martigny, Switzerland

Start date: Flexible, 2026 or early 2027

Representative work of the research group

• https://openreview.net/forum?id=B08MW8oDqN
• https://arxiv.org/abs/2601.21725
• https://arxiv.org/abs/2403.02241

Inquiries can be made directly to Dr. Damien Teney ([e-mail]).

Your profile

• A strong track record of rigorous research, evidenced by publications at major AI/ML/CV/NLP venues
• A PhD (or equivalent research experience) in a relevant field such as computer science, engineering, applied mathematics, physics, or related disciplines
• Strong programming skills
• Strong written and verbal communication skills in English

About Idiap

Idiap is a research institute of national importance that engages in fundamental research, education and technology transfer in artificial intelligence, machine learning and signal processing. Idiap offers competitive salaries and conditions in a young, high-quality, dynamic, and multicultural environment. Idiap is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. English is the official working language.

At Idiap we place great emphasis on diversity and we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. Employment at Idiap is based solely on a person's merit and qualifications. Idiap does not discriminate against any employee or applicant because of race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, marital status, pregnancy, or any other basis protected by law.

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