[DL] 3 PhD student positions in Efficient Deep Learning

Mark Hoogendoorn m.hoogendoorn at vu.nl
Mon May 14 14:29:27 CEST 2018

Opening: 3 PhD student positions on Efficient Deep Learning
Vrije Universiteit Amsterdam, Department of Computer Science


=== The positions ===

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.

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.

=== 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 student also include giving a limited amount 
of teaching.

=== About the University and Department ===

Vrije Universiteit Amsterdam (VU) 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, 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.

=== 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.

=== Information ===

For additional information please contact:

Prof. dr. Rob van Nieuwpoort (for PhD-1)
e-mail: R.vanNieuwpoort at esciencecenter.nl

Prof. dr. ir. Henri Bal (for PhD-2)
e-mail: bal at cs.vu.nl

Dr. Mark Hoogendoorn (for PhD-3)
e-mail: m.hoogendoorn at vu.nl

Department of Computer Sciences: http://www.cs.vu.nl/

=== 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 at vu.nl before 24 May 2018. Please mention 
the vacancy number in the e-mail header as well as the PhD position you 
are applying for.

Dr. Mark Hoogendoorn
Assistant Professor
Vrije Universiteit Amsterdam, Department of Computer Science
De Boelelaan 1081, 1081 HV Amsterdam, the Netherlands
tel. +31 20 598 7772 mob. +31 653922626

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