Postdoctoral Fellow – Machine Learning & Computer Vision

About the role

The Postdoctoral Fellow will join a highly active research group working at the intersection of machine learning, computer vision, multimodal AI, healthcare, and robotics. The role involves contributing to multiple research projects, managing the lab, mentoring students, and assisting with grant writing.

Key responsibilities

• Conduct independent research, develop methods, run experiments, and publish results in top‑tier venues.
• Assist in managing the research laboratory and ongoing projects, including mentoring graduate and undergraduate students.
• Contribute to the preparation of research grant proposals and future funding applications.

Required profile

• Ph.D. in Computer Science, Computer Engineering, Robotics, or a related field, completed by the start date.
• Strong research background with a solid publication record, preferably first‑author papers at leading conferences such as CVPR, ICCV, NeurIPS, ICML, ICRA, etc.
• Excellent written and verbal communication skills and ability to work collaboratively.

Required skills

• Machine learning
• Computer vision
• Robotics
• Strong programming ability (hands‑on experience)

What we offer

• University contributions to health, dental, life and disability insurance.
• Tuition waivers for employees and their families.
• 12 official holidays and immediate leave accrual.
• Retirement programs with university contributions ranging from 5 % to 10 % of salary.