Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for an enthusiastic talented
Postdoc
on the subject of Adaptive Sequential Testing.
Job description
CWI is hosting a one-year project focusing on Practical and efficient methods underpinning adaptive sequential testing. This project is a collaboration between CWI and Booking.com research in Amsterdam.
We are looking for a talented postdoc who is interested in pursuing scientific research in sequential testing. The project aims to advance adaptive sequential testing in practically motivated extensions of the classic Best Arm Identification setting. We are looking to develop principled algorithms that handle delays, non-stationarity and/or feedback beyond simple rewards.
The postdoc researcher will spend four days day per week at CWI and one day at Booking.com research (within a short 15 minutes bicycle ride).
Requirements
Candidates are required to have completed their PhD in mathematics or computer science, with a strong background in statistical learning theory, mathematical statistics, and/or bandits. Ideally, the candidate has worked already on pure exploration problems.
Needed qualifications for candidates include proven research talent, strong theoretical background, and good academic writing and presentation skills. Candidates are expected to have an excellent command of English.
Terms and conditions
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres ("CAO-onderzoeksinstellingen"). The gross monthly salary for an employee on a full time basis, depending on relevant work experience, ranges from € 4.218 to € 5.141. The appointment will be for a period of one year.
Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.33%. CWI offers attractive working conditions, including flexible scheduling.
Please visit our websites for more information about our terms of employment:
https://www.cwi.nl/jobs/terms-of-employment and
https://www.nwo-i.nl/en/working-at-nwo-i/jobsatnwoi/
Information and application
All applications should include a detailed resume, motivation letter, and contact details of (at least) three references. For residents outside the EER-area, a Toefl English language test might be required.
The deadline for the first application round is 1 March 2024. To apply, use the application button at the end of the job text. Applications will be considered in rounds until the position is filled.
For more information about the vacancy, please contact Prof.dr. Wouter Koolen, email wmkoolen@cwi.nl.
For more information about CWI, please visit www.cwi.nl or watch our video about working at CWI.
Diversity code
CWI encourages a diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly encourage everyone with the appropriate qualifications to apply for the vacancy, regardless of age, gender, origin, sexual orientation or physical abilities.
About CWI
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes Organisation of the Dutch Research Council (NWO). The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large.
CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries, an informal atmosphere and short lines of communication. We have an activity committee that organizes after-work activities and an informal women’s network.
CWI is located at Science Park Amsterdam, the home of AMS-IX, that is presently developing into a major location of research in the physical sciences in The Netherlands, housing the sciences of the University of Amsterdam as well as several other national research institutes next to CWI.
About Research group
To find more information about the CWI Machine Learning group, please visit the group page.
