Two Phd Positions On Embodied Foundation Models

2 weken geleden

Amsterdam, Nederland Universiteit van Amsterdam Voltijd

Two PhD Positions on Embodied Foundation Models

**Faculteit/Dienst**:Faculteit der Natuurw., Wiskunde & Informatica**Opleidingsniveau**:Master**Functie type**:Promotieplaats**Sluitingsdatum**:12 augustus 2024**Vacaturenummer**:13147**Are you interested in performing high-impact artificial intelligence research on embodied foundation models that will enable an autonomous robot to operate in an open world?**
- Progress in multimodal foundation models has been astonishing in the past few years and allow to equip robots with world knowledge of scenes, objects, and human activities. Robots should then be able to perceive and act upon the sensed world, be it that current solutions require data diversity, task circumstances, and the label vocabulary all to be pre-defined, stationary and controlled. As soon as these ‘closed world’ deep learning assumptions are broken, perceptual understanding suffers and oftentimes catastrophically. Hence, robots equipped with state-of-the-art multimodal perceptual skills will experience great difficulty generalizing to perception tasks in an open world where sensory and semantic conditions will differ considerably from those perceived during training.- Our key research question is: _How to enable multimodal perception for robots that is robust to sensory and semantic shifts between training and operation conditions?_

**What are you going to do?**
- You will carry out research and development in the areas of embodied foundation models, deep machine learning and computer vision. Topics of interest are test-time generalization, embodied grounding, data scarcity and uncertainly modeling. The research is embedded in the VIS lab group at the University of Amsterdam, and you will actively collaborate within the OpenBots lab, that contains a team of five PhD students, two at the University of Amsterdam (this vacancy) and three at Delft University of Technology (focusing on planning and control). You will work three days a week at the University of Amsterdam and the other two days you will work with all other four PhDs at TNO and the Royal Netherlands Marechaussee where a physical lab environment with several land-robots is available. The project is carried out with supervisors from the Video and Image Sense Lab (Amsterdam) and the Cognitive Robotics Group (Delft). Students at UvA will be supervised by prof. dr. Cees Snoek and dr. ir. Gertjan Burghouts (TNO).**Your tasks will be to**:

- Develop new deep learning, computer vision and multimodal learning methods on embodied foundation models.
- Actively collaborate within the OpenBots Lab and contribute to its demonstrators.
- Regularly present internally on your progress.
- Regularly present intermediate research at international conferences and workshops, publish them in proceedings and journals.
- Assist in teaching activities such as lab assistance and student supervision.
- Complete and defend a PhD thesis within the official appointment duration of four years.

**What do you have to offer?**
- An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field.
- A strong background/knowledge in machine learning and computer vision, robotics is a plus.
- Solid mathematics foundations, especially statistics, calculus and linear algebra;
- Excellent programming skills, preferably in Python.
- You are highly motivated, independent, and creative.
- Strong communication, presentation and writing skills and excellent command of English.
- Prior publications in relevant machine learning or computer vision conferences or journals are advantageous.

**Our offer**
- A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is in 2024. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.-
- Besides the salary and a vibrant and challenging environment we offer you multiple fringe benefits:
- 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January;
- Multiple courses to follow from our Teaching and Learning Centre;
- A complete educational program for PhD students;
- Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses;
- 7 weeks birth leave (partner leave) with 100% salary;
- Partly paid parental leave;
- The possibility to set up a workplace at home;
- A pension at ABP for which UvA pays two third part of the contribution;
- The possibility to follow courses to learn Dutch;
- Help with housing for a studio or small apartment when you’re moving from abroad.

**About us**- The Faculty of Science (FNWI) has a student body o

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