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2 PhD positions in Computer Vision

The University of Amsterdam (UvA) and TomTom are opening a new research lab called 'ATLAS Lab' consisting of one Tenure Track Assistant professor and …

ongeveer 2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Science Park, Amsterdam, Noord-Holland
Dienstverband:
Vast contract
Uren per week:
38 - 38 uur
Salarisindicatie:
€ 2395 - € 3061 per maand
Opleidingsniveau:
WO

Functieomschrijving

The University of Amsterdam (UvA) and TomTom are opening a new research lab called 'ATLAS Lab' consisting of one Tenure Track Assistant professor and five PhD students. The focus of the new lab will be on developing advanced, highly accurate and safe maps for automated vehicles (HD maps), using Artificial Intelligence. These HD maps include detailed geometric and semantic representations of elements in a road network, such as lane dividers, traffic signs, traffic lights, junctions, etc. The ATLAS Lab is a research collaboration between UvA and TomTom, Amsterdam, and is part of ICAI, the national Innovation Centre for AI, based in the Amsterdam Science Park.

For our new lab, we are seeking two PhD candidates in the field of computer vision and deep learning. Topics include representation and transfer learning for object detection and segmentation within a diverse set of learning paradigms (e.g. weakly/semi/self supervised), and quantifying uncertainty. Sensor data is assumed to be multi-modal and includes camera, LiDAR, and positional sensors.

We will be working on fundamental aspects, deep learning models, and algorithms. In particular, we are looking for PhD candidates on the following projects:

  • Project 1: Structured segmentation
  • Project 2: Sparse data representation for point clouds segmentation.

What are you going to do?

You are going to carry out AI research and development in one of the two projects mentioned above, as part of the Atlas lab (in total 5 PhD students of which three of them are already hired) at the University of Amsterdam. There will also be regular visits to and interactions with researchers at TomTom (Amsterdam). At the University of Amsterdam, you will be supervised by prof. Gevers, as well as an assistant professor we are currently hiring.

Your tasks will be to:

  • develop new machine learning methods within the context of one of the five research projects;
  • collaborate with other researchers within the lab and TomTom;
  • complete and defend a PhD thesis within the official appointment duration of four years;
  • regularly present intermediate research results at international conferences and workshops, and publish them in proceedings and journals;
  • assist in relevant teaching activities.

Functie-eisen

  • A Master’s degree in Artificial Intelligence, Computer Science, or related field;
  • a strong background in computer vision and machine learning;
  • excellent programming skills preferably in Python;
  • solid mathematics foundations, especially statistics, calculus and linear algebra;
  • strong communication, presentation and writing skills and excellent command of English.

We also expect you to behighly motivated and creative.

Conditions

Our offer

A temporary contract for 38 hours per week, preferably starting as soon as possible for the duration of 48 months. Initial employment is 18 months and after a positive evaluation, the contractwill be extended further with 30 months and should lead to a dissertation (PhD thesis). You will get a customized Training and Supervision Plan, that will be evaluated every year.

The salary, depending on relevant experience before the beginning of the employment contract, will be €2,395 to €3,061 (scale P) gross per month, based on 38 hours a week. This is exclusive 8 % holiday allowance and 8,3 % end-of-year bonus. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.

Are you curious about our extensive package of secondary employment benefits like our excellent opportunities for study and development? Take a look here.

Additional information

Do you have questions about this vacancy? Or do you want to know more about our organisation? Please contact: