PhD Positions on Foundation Models: The University of Amsterdam is offering two PhD positions for high-impact artificial intelligence research on embodied foundation models. These positions aim to enable an autonomous robot to operate in an open world, focusing on multimodal perception and its robustness to sensory and semantic shifts between training and operational conditions.
Two PhD Positions on Embodied Foundation Models
Designation: PhD Candidate
Research Area: Embodied Foundation Models, Deep Machine Learning, Computer Vision
Location: University of Amsterdam, Amsterdam, Netherlands
Eligibility/Qualification:
- MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering, or related field
- Strong background/knowledge in machine learning, computer vision; robotics knowledge is advantageous
- Proficiency in statistics, calculus, linear algebra, and programming (preferably in Python)
- Motivated, independent, creative, with excellent communication, presentation, and writing skills
- Prior publications in relevant machine learning or computer vision conferences or journals are advantageous
Job Description:
The selected candidates will be responsible for:
- Developing new deep learning, computer vision, and multimodal learning methods on embodied foundation models
- Actively collaborating within the OpenBots Lab and contributing to its demonstrators
- Regularly presenting internally on progress, at international conferences, and workshops
- Assisting in teaching activities and completing a PhD thesis within the official appointment duration of four years
How to Apply:
Interested candidates can apply online via the university’s application portal. The application should include the following information in a single PDF file:
- A letter motivating the choice for this position
- Curriculum vitae, including a list of publications (if applicable)
- A research statement on how to approach the PhD project
- A link to the Master’s thesis (if online available) or include an abstract
- A complete record of Bachelor and Master courses (including grades and explanation of the grading system)
- A list of projects or publications worked on, with brief descriptions of contributions
- Names and contact addresses of at least two academic references (recommendation letters not required)
Last Date for Apply: 12 August 2024
This scholarship opportunity is a chance to contribute to cutting-edge research in artificial intelligence and robotics at a renowned institution. Apply now and be a part of pioneering advancements in the field.
For further details or inquiries, please contact:
Prof. Dr. Cees Snoek, c.g.m.snoek@uva.nl
Dr. Ir. Gertjan Burghouts, gertjan.burghouts@tno.nl
