Two PhD positions for foundation models, University of Amsterdam,

PhD positions on base models: The University of Amsterdam offers two PhD positions for high-impact research in artificial intelligence on embodied base models. The goal of these positions is to enable an autonomous robot to operate in an open world, with a focus on multimodal perception and its robustness to sensory and semantic changes between training and operational conditions.

Two doctoral positions on Embodied Foundation Models

Designation: PhD student

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 a related field
• Solid knowledge/experience in machine learning and computer vision; knowledge of robotics is an advantage
• Knowledge of statistics, analysis, linear algebra and programming (preferably in Python)
• Motivated, independent, creative, with excellent communication, presentation and writing skills
• Previous publications in relevant conferences or journals on machine learning or computer vision are an advantage

Job description:
The selected candidates are responsible for:

• Development of new methods for deep learning, computer vision and multimodal learning based on embodied foundation models
• Active collaboration in the OpenBots Lab and participation in its demonstrators
• Regular internal presentation of progress at international conferences and workshops
• Participation in teaching and completion of a doctorate within the regular employment period of four years

How to apply:
Interested applicants can apply online through the university’s application portal. The application should contain the following information in a single PDF file:

• A motivation letter for choosing this position
• CV, including list of publications if applicable
• A research statement on the approach to the PhD project
• A link to the master thesis (if available online) or an abstract
• A complete proof of Bachelor’s and Master’s achievements (including grades and explanation of the grading system)
• A list of projects or publications worked on, with brief descriptions of the contributions
• Names and contact addresses of at least two academic references (letters of recommendation not required)

Last application date: 12 August 2024

This fellowship offers you the opportunity to contribute to cutting-edge research in artificial intelligence and robotics at a prestigious institution. Apply now and be part of groundbreaking advances in the field.

For further details or enquiries please contact:
Prof. Dr. Cees Snoek, cgmsnoek@uva.nl
Dr. Ir. Gertjan Burghouts, gertjan.burghouts@tno.nl

shortcut