PhD Position (f/m/div) | Computer Vision

PhD Position (f/m/div) | Computer Vision

Join as a PhD researcher in the Max Planck Institute for Intelligent Systems (MPI-IS), focusing on highly realistic human and animal avatars, eye‑gaze study, and multi‑camera systems. The position begins as soon as possible and is funded by the DFG SPP Programme Understanding Gaze (UGaze SPP 2481).

About the Project

We support the development of realistic avatars for research, film, VR, biology, and medicine using 3D & 4D capture facilities, machine learning, computer vision, and advanced graphics. In the Eye Movement Study, we collaborate with Assistant Professor Xucong Zhang (Delft University of Technology) to develop algorithms enabling eye‑gaze studies through multiple camera systems.

Roles & Responsibilities

• Develop and enhance capture systems, including hardware system design and study design.
• Collect data using the developed capture systems.
• Develop cutting‑edge gaze estimation and blink detection algorithms with multiple systems in collaboration with TU Delft.
• Collaborate with psychology researchers to adapt and improve the systems for specific case studies.

Education & Experience

• MSc degree with strong background in computer vision and machine learning.
• Strong programming skills in Python, OpenCV, PyTorch, Unreal Engine, and C++.
• Good oral and written communication skills in English.
• Team‑player with a detail‑oriented mindset.
• Academic background or interest in psychology is a plus.

Our Offer

• Multidisciplinary collaborative project at MPI‑IS, Tübingen.
• Cutting‑edge technologies in computer vision and multi‑sensor systems.
• Open‑minded and motivating working environment with international scientists, engineers, and staff.
• Subsidy for the Deutschland‑Jobticket (ÖPNV).
• Flexible working arrangements, including childcare support and mobile work.
• Position length: 3 years with potential extension based on progress and funding.

Application

• 2‑page letter answering: What makes you a good fit for this position?
• Answer: Why the generic large vision foundation model does not perform best for the gaze estimation task as shown in the paper, and how you would extend the model to other animals such as apes.
• Answer: Possible issues working with human subject video data and suggestions to overcome them.
• Answer: Pros and cons of using synthetic data for training multi‑human gaze detection algorithms and best usage strategies.
• Curriculum Vitae with three references.
• Optional: GitHub or other account showing programming skills.
• All documents must be sent in a single PDF via the application portal.
• Application without the letter will not be considered.

Contact

Questions: or

Equal Opportunity

The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and encourages applications from qualified individuals. The society also seeks to increase the number of women in under‑represented areas and explicitly encourages women to apply. The Max Planck Society strives for gender equality and diversity.

Closing date

The posting is open until the position is filled.

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