This position is funded by the new NWO-TTW program Efficient Deep Learning, which combines Dutch experts from the Machine Learning and the Computing communities.  The position is shared between the University of Amsterdam and the Vrije Universiteit Amsterdam. 

Project
The NWO-TTW program Efficient Deep Learning (EDL) combines Dutch experts from the Machine Learning and the Computing communities. The program starts mid 2018 and funds about 25 new research positions (mostly PhD students), who will work together with a variety of companies.

Within EDL, project P1: Deep Learning as a Service studies how to develop a service for EDL that makes the application of Deep Learning algorithms less cumbersome. From a scientific point of view, this project is a collaboration between Vrije Universiteit (VU), the University of Amsterdam (UvA), TU Eindhoven, and the Netherlands eScience Center (NLeSC). The techniques that will be developed in this project will be applied in various case studies at companies. The companies participating in P1 are: ING Bank NV, Semiotics Labs, Schiphol, Océ, SURFsara, and Mobiquity Inc.

Henri Bal and I are specifically looking for a PhD student to Study regime transitions and anomaly detection in the financial sector, including smart maintenance of ICT infrastructure and trading  & risk in financial markets.

You will work at VU, UvA, and ING bank.

Requirements
Candidates should have a MSc degree in Computer Science, Artificial Intelligence, Computational Science or closely related area and should be able to work well in teams. Candidates ideally have expertise in both High Performance Computing and Machine Learning/Deep Learning, but PhD-level courses are available if one such expertise is missing.
Successful candidates are expected to write scientific papers for international peer-reviewed journals, present his/her work in international conferences, and finalize the work in a PhD thesis.
The responsibilities of a PhD also include giving a limited amount of teaching.

Further particulars
The initial appointment will be for a period of 1 year. After a satisfactory evaluation of the initial appointment this will be extended for a total duration of 4 years. You may find information about our excellent fringe benefits at www.workingatvu.nl.

• Remuneration of 8.3% end-of-year bonus and 8% holiday allowance;
• participation in a solid pension scheme (ABP);
• a minimum of 29 holidays in case of full-time employment.

Salary
The salary will be in accordance with university regulations for academic personnel, and range from a minimum of € 2,222 gross per month in the first year up to a maximum of € 2,840 gross per month (salary scale 85.0-3) based on a full-time employment.

Application
Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and two or three references (names and e-mail addresses).
Applications should be sent by email to informatica.secretariaat.few@vu.nl before 24 May 2018. Please mention the vacancy number in the e-mail header.

Information
For more information see:

https://www.vu.nl/nl/werken-bij-de-vu/vacatures/2018/18180ThreePhDpositionsInEfficientDeepLearning.aspx

For additional information please contact me at R.vanNieuwpoort@esciencecenter.nl

Note that there are other PhD positions available as well.

Any other correspondence in response to this advertisement will not be dealt with.

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