Postdoctoral Position (60%)

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 Position (60%)

Mission

EPFL is one of Europe’s most dynamic and internationally recognized universities, consistently ranked among the world’s top institutions. It offers an exceptional research environment, state of the art facilities, and highly competitive salaries.

We are seeking a postdoctoral researcher to join an interdisciplinary project aimed at developing innovative AI methodologies for Multimodal Sentiment Analysis (MSA) to support mental health and well being. The project integrates audio, text, and visual data, collected in collaboration with social scientists as part of a Swiss National Science Foundation Sinergia program. The overarching goal is to design models capable of accurately identifying and predicting human emotional states.

Main duties and responsibilities

As a postdoctoral researcher, you will:

• Lead the full machine learning research pipeline, from literature review to model development and validation
• Analyze, interpret, and communicate experimental results
• Prepare and submit scientific articles to peer reviewed journals
• Present research findings at international conferences
• Supervise and collaborate with a junior scientist/developer
• Mentor EPFL students involved in related projects
  
  

Profile

We are looking for a motivated and creative postdoctoral researcher with strong expertise in machine learning model development and a genuine interest in collaborating across disciplines, particularly with social scientists working on societal challenges.
Required qualifications:

• PhD in Engineering, Computer Science, Physics, Applied Mathematics, or a related field
• Experience in machine learning; interest or proficiency in multimodal deep learning
• Strong problem solving skills, intellectual curiosity, and the ability to think beyond conventional approaches
• Motivation to explore, implement, and evaluate new AI architectures
• Commitment to collaborative, interdisciplinary research within an international team
• Excellent command of English and French, both written and spoken

We offer

• A stimulating, multicultural research environment at a world class institution
• Access to cutting edge research infrastructure and computational resources
• Competitive remuneration

Informations

Only applications submitted through the online platform are considered. You are asked to supply:

• A brief cover letter (pdf, up to 2 pages).

And in one PDF:

• A CV with a publication list.
• Contact details for 2 referees.

For any further information, please contact: isabelle.voneche- E-Mail schreiben

Contract Start Date : As soon as possible

Activity Rate : 60%

Contract Type: CDD

Duration: 1 year, renewable

Reference: 2027

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