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5 PhD positions in Computer Vision for automated driving

The University of Amsterdam (UvA) and TomTom are opening a new research lab called 'ATLAS Lab' consisting of one tenure track assistant pofessor …

3 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Science Park, Amsterdam, Noord-Holland
Dienstverband:
Vast contract
Uren per week:
38 - 38 uur
Salarisindicatie:
€ 2325 - € 2972 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 pofessor 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 5 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 A: Cross-sensor transfer learning;
  • project B: Few-shot tiny object detection;
  • project C: Structured segmentation;
  • project D: Sparse data representation for point clouds segmentation;
  • project E: Point cloud based 3D object detection.

You are going to carry out AI research and development in one of the five projects mentioned above, as part of the Atlas lab 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 either prof. Gevers or prof. Snoek, 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

We require:

  • 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;
  • you are highly motivated and creative;
  • strong communication, presentation and writing skills and excellent command of English.

Conditions

Our offer

A temporary contract for 38 hours per week, preferably starting on 1 June 2020 for the duration of four years which should lead to a dissertation (PhD thesis). The initial contract will be for a period of 18 months and after a satisfactory evaluation the contract will be extended for 30 months. You will get a customized training and supervision plan, that will be evaluated every year.

The salary will be €2,325 to €2,972 (scale P) gross per month, based on full-time employment (38 hours a week). These amounts are exclusive 8% holiday allowance and 8,3% end-of-year bonus. A favorable 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? Then find out more about working at the Faculty of Science.

Additional information

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