The Swiss Federal Institute of Technology in Lausanne (EPFL) invites applications for a Postdoc Position in Generative AI within the Laboratory of Visual Intelligence for Transportation (VITA). This 24-month, full-time research position focuses on advancing cutting-edge methods in real-time video generation, digital doubles, and human-like avatars.
Overview & Key Details
| Designation | Postdoctoral Researcher (Postdoc) |
|---|---|
| Research Area | Generative AI, Computer Vision, Deep Learning, Human-Robot Interaction |
| Host Institution | EPFL (Swiss Federal Institute of Technology in Lausanne) |
| Laboratory | Laboratory of Visual Intelligence for Transportation (VITA) |
| Location | Lausanne, Switzerland |
| Contract Type | Fixed-term contract (24 months, 100% activity rate) |
| Start Date | As soon as possible |
| Application Deadline | Open until filled (Applications reviewed on a rolling basis) |
Job Description
The Laboratory of Visual Intelligence for Transportation (VITA) at EPFL conducts research at the intersection of Computer Vision, Deep Learning, and Human-Robot Interaction. The laboratory aims to redefine how machines perceive human actions, anticipate intentions, and engage in seamless human-machine collaboration.
As a Postdoctoral Researcher in Gen AI, your main responsibilities will include:
- Developing innovative generative AI algorithms and architectures for real-time video generation.
- Creating technologies for digital doubles and realistic, human-like virtual avatars.
- Conducting high-impact research, publishing in leading computer vision and machine learning venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICRA).
- Collaborating with an international team of PhD students, researchers, and academic/industry partners.
Eligibility and Qualifications
Applicants must meet the following criteria:
- Education: A completed (or near-completion) PhD in Computer Vision, Computer Science, or a closely related quantitative field.
- Technical Background: Strong research background in Generative AI, Deep Learning, and Computer Vision.
- Data & Computing Skills: Solid computational, programming, and analytical abilities, with hands-on experience in managing and training models on large-scale datasets.
- Soft Skills: High degree of independence, creativity, strong problem-solving mindset, and excellent interpersonal and teamwork capabilities.
- Language Proficiency: Fluency in spoken and written English.
Benefits and Working Environment
- A dynamic, interdisciplinary, and internationally recognized research group.
- State-of-the-art computational infrastructure and resources at one of the world’s top-ranked technical universities.
- Competitive Swiss academic salary and comprehensive social benefits.
- Opportunities for professional growth, mentorship, and extensive academic networking.
How to Apply
Interested candidates must submit their application online through the official EPFL recruitment portal. Prepare and upload the following documents:
- A brief cover letter detailing your motivation and suitability for the role (PDF, maximum 2 pages).
- A single combined PDF document containing:
- Curriculum Vitae (CV) including a complete publication list.
- Research statement outlining past achievements and future research vision (PDF, maximum 3 pages).
- Contact information for three academic references.
For informal inquiries about the research project, please contact Prof. Alexandre Alahi at alexandre.alahi@epfl.ch.
Important Links & Application Portal
Submit your application directly through the official EPFL career link below:
Apply Online for EPFL Postdoc Position in Gen AI
