International Hellenic University

Αμειβόμενες θέσεις για PhD με θέμα "Efficient Deep Learning" στο Vrije Universiteit Amsterdam (Ολλανδία)


Vrije Universiteit is looking for three PhD students within the P1 project: 

• Study regime transitions and anomaly detection in the financial sector, including smart maintenance of ICT infrastructure and trading  & risk in financial markets. 
• VU/UvA/NLeSC, part-time at ING bank 

• Services for Large-scale On-line Video Surveillance, focusing on using large scale High Performance Computing to speed up the machine learning 
• VU/UvA, part-time at Amsterdam Schiphol Airport 

• Study the development of DL algorithms for time series of sensory data with limited availability of labeled data as part of the aforementioned service. In addition, develop ways to gain insight into the learned concepts within the networks. 
• VU, part-time at Semiotic Labs.


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.


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

• 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. 

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. 


Vrije Universiteit Amsterdam is a leading, innovative, and growing university that is at the heart of society and actively contributes to new developments in teaching and research. Our university has ten faculties which span a wide range of disciplines, as well as several institutes, foundations, research centres, and support services. Its campus is located in the fastest-growing economic region in the Netherlands (the Zuidas district of Amsterdam), and provides work for over 4,500 staff and scientific education for more than 23,000 students.


Research at the Faculty of Sciences focuses on the areas of Life & Health, Networked World, Fundamentals of Science, and Energy & Sustainability. The faculty’s teaching activities are directly linked to this excellent research. Cooperation with other faculties on the Vrije Universiteit Amsterdam campus generates attractive, high-quality Bachelor’s and Master’s programmes.  At international level, the faculty cooperates closely with leading scientific institutes and other partners.

The VU Department of Computer Science has approximately 170 members, including 35 tenured staff members and 40-50 PhD students. The tenured staff members form the essential basis for the functioning of the department. A tenured staff member is required to make significant contributions to the research and education programmes, and to spend effort on specific tasks at the department level.


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 (DLaaS) 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.

For additional information please contact: 

Prof. dr. Rob van Nieuwpoort (for PhD-1) 

Prof. dr. ir. Henri Bal (for PhD-2) 

Dr. Mark Hoogendoorn (for PhD-3) 

Department of Computer Sciences:

Application procedure

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 before 24 May 2018. Please mention the vacancy number 18180 in the e-mail header. 

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