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Postdoctoral Researcher in Machine Learning

Research / Academic
Amsterdam

The University of Amsterdam (UvA) and the Bosch Group has opened a new collaborative research lab, Delta Lab 2. We are looking for a postdoctoral researcher in machine learning to be a part of this collaboration. Research topics include include generative models (ex: flows, conditional generation, applications to AI4Science) and/or uncertainty quantification (ex: conformal prediction, approximate inference). Delta Lab 2 is embedded within the Amsterdam Machine Learning Lab (AMLab) and the Computer Vision Lab (CV), two research groups within the UvA Informatics Institute.

Take your career to the next level
The University of Amsterdam (UvA) and the Bosch Group has opened a new collaborative research lab, Delta Lab 2. We are looking for a postdoctoral researcher in machine learning to be a part of this collaboration. Research topics include include generative models (ex: flows, conditional generation, applications to AI4Science) and/or uncertainty quantification (ex: conformal prediction, approximate inference). Delta Lab 2 is embedded within the Amsterdam Machine Learning Lab (AMLab) and the Computer Vision Lab (CV), two research groups within the UvA Informatics Institute.

What are you going to do?

Tasks and responsibilities:

  • Invent and evaluate novel methodologies for machine learning;
  • Show that these methods have practical consequence;
  • Present your research by contributing to international conferences, workshops, and journals;
  • Assist in teaching activities: teaching courses; supervising master and PhD students;
  • Actively participate in Delta Lab 2 activities, including visits to the Bosch headquarters in Renningen, Germany;
  • Help with day-to-day operations of Delta Lab 2: updating lab website, reporting on lab progress and deliverables.


What do you have to offer?

Your experience and profile:

  • PhD in Machine Learning, Statistics, Computer Science, Mathematics, or a related field;
  • Experience in programming and software development. Familiarity with Python and statistical computing libraries (e.g. NumPy, PyTorch, JAX) is preferred;
  • Enthusiasm for the scientific process: formulating and conducting experiments, data collection and analysis, disseminating findings via writing and oral presentations;
  • Ability to cooperate and work effectively within a team;
  • Fluency in English, both written and spoken.


Our offer
We offer a temporary employment contract for 38 hours per week for a period of 24 months. The preferred starting date is as soon as possible or by arrangement.

The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,345 to € 5,278 (scale 10). UvA additionally offers an extensive package of secondary benefits, including 8% holiday allowance and a year-end bonus of 8.3%. The UFO profile Researcher 4 is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.

Besides the salary and a vibrant and challenging environment at Science Park, 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;
  • Multiple courses on topics such as leadership for academic staff;
  • 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.


Are you curious to read more about our extensive package of secondary employment benefits, take a look here.

About us
The Faculty of Science (FNWI) has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.

The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.

The mission of the UvA-Bosch Delta Lab (Deep Learning Technologies Amsterdam) is to perform world class research in machine learning and computer vision. Researchers at UvA collaborate with Bosch researchers on topics including generative models, causal learning, geometric deep learning, uncertainty quantification in deep learning, human-in-the-loop methods, outlier detection, scene reconstruction, image decomposition, and semantic segmentation.

Delta Lab 2 – the follow-up to the successful collaboration Delta Lab 1 – focuses on the use of artificial intelligence and machine learning for applications in computer vision, generative models, and causal learning. Delta Lab 2 will form part of ICAI, the national Innovation Center for AI, headquartered on the Amsterdam Science Park. The lab is headed by the UvA’s Dr Jan-Willem van de Meent and Prof Theo Gevers. Dr Christian A. Naesseth is the daily lab manager.

Do you have any questions, or do you require additional information? Please contact:


Job application
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until the position is filled and applications are reviewed on a rolling basis.

Applications should include the following information (all files apart from your CV should be submitted in one single pdf file):

  • A curriculum vitae, including a list of publications (with hyperlinks);
  • A research statement describing your interests and research trajectory;
  • The names and contact information of at least two academic references (please do not include the letters themselves);
  • Optional: A letter providing any additional information not sufficiently highlighted by the other materials. For instance, the letter could describe how Covid-19 has affected productivity.


Please make sure to provide ALL requested documents mentioned above.
You can use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file.

A knowledge security check may be part of the selection procedure.
(for details: National knowledge security guidelines).

Only complete applications received within the response period via the link below will be considered. Please don’t send any applications by email.

We accept applications until the position is filled and applications are reviewed on a rolling basis.

Work Hours:

38 hours per week

Address:

Science Park 904