Biometrics has existed as a field of research for more than years. As of today, a vast majority of biometric technologies rely on Artificial Intelligence (AI) and are now shifting to the paradigm of Foundation Models (large AI models trained on broad data).
The Idiap Research Institute seeks qualified candidates for postdoctoral positions on the topics of Foundation Models for face presentation attack detection (PAD aka anti-spoofing), person recognition from a distance (face, gait), XAI, and privacy-preserving AI for biometrics. The positions will be aligned with new European-funded projects and should be filled as soon as possible.
The Postdoc candidate will work within the Biometrics Security & Privacy group under the supervision of Prof. Sébastien Marcel.
Postdoc appointments are typically for one year, with possibilities of renewal, conditional on performance.
Stanford Institute for Human-Centered Artificial Intelligence’s (HAI) Center for Research on Foundation Models (CRFM).
Duties include
1. Carry out research as stated in the assigned project(s) and follow the evolution of project(s).
2. Fulfill project-related assignments (evaluations, deliverables, etc.) as requested.
3. Publish results in journal papers and conferences; favor joint publications with other Idiap staff and/or project partners.
4. Participate in project meetings and boards as required.
5. Assume a leading role as Idiap contact point or work package leader when appropriate.
6. Help supervise PhD students and interns in collaboration with supervisors.
7. Participate in various Idiap activities and projects as requested by supervisors or management.
Your profile
Candidates should hold a PhD degree in engineering, computer science, or applied mathematics. They should demonstrate excellent research experience, a strong publication record, and the ability to conduct creative and significant research with a relative level of autonomy. Applicants should have expertise in Deep Learning (DCNNs, Transformers, GANs, Diffusion Models) and Large Multimodal Language Models. A strong background in statistics, optimization, linear algebra, and proficient programming skills (C/C++ and/or Python with PyTorch in a Linux environment) are also required.
Required language
Fluency in English is required. French is a plus.
About Idiap
Idiap is a research institute of national importance engaged in fundamental research, education, and technology transfer in artificial intelligence, machine learning, and signal processing. It offers competitive salaries and conditions in a young, high-quality, dynamic, and multicultural environment. Located in Martigny, Valais, Switzerland, Idiap is surrounded by Europe's highest mountains and offers an exceptional quality of life, recreational activities, and cultural events. English is the official working language.
At Idiap, diversity is highly valued, fostering creativity and innovation. We are committed to equality of opportunity, fairness, and inclusivity. Employment is based solely on merit and qualifications. We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, marital status, pregnancy, or any other protected characteristic.
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