[DL] Postdoc position: Data-driven lifestyle support through smart devices

[Mark Hoogendoorn]

Opening: Postdoc position for 3 years on data-driven lifestyle support 
through smart devices
VU University Amsterdam, Department of Computer Science

=== The position ===

Amsterdam Data Science, an initiative of the University of Amsterdam 
(UvA), VU University Amsterdam (VU), Amsterdam University of Applied 
Sciences (HvA), and Centrum Wiskunde & Informatica (CWI), involving 15 
researchers at the postdoc/PhD level. These positions are funded by the 
Amsterdam Academic Alliance (AAA), a joint initiative of the UvA and VU 
aimed at intensifying collaboration with each other and knowledge 
institutions in the region, to cement Amsterdam's position as a hub of 
academic excellence. These positions are partially co-funded by CWI, 
Faculty of Social and Behavioural Sciences of the UvA, HvA, ORTEC, 
Philips, Spinoza fund of Prof. Vossen, and VUmc.

Amsterdam Data Science provides a network in which some 300 Amsterdam 
based scientists exchange Data Science knowledge and forge partnerships 
within and outside the academic community. This comprises the 
foundations of data science and data science for the life sciences, 
social analytics, business analytics, and digital humanities.

This advertisement concerns one of the 15 positions. This postdoctoral 
researcher position is with Prof. Eiben, Dr. Hoogendoorn and Dr. 
Haasdijk, in the Computational Intelligence Group of the Department of 
Computer Science of the VU University Amsterdam and Philips Research.

The position is focused on the development and application of machine 
learning and computational intelligence techniques in the domain of 
healthy living and population health. The overall aim is to develop 
techniques to collect lifestyle and health related data from large 
collectives of heterogeneous devices (smart phones, watches, smart 
environments) and to build user models from such data to provide 
customized support over extended periods of time. The “device cloud” is 
to operate in a collaborative and collective way, adapting to the 
circumstances and to various clusters of similar users. The project 
foresees in several user experiments to evaluate the technology and the 
algorithms. The project is a close collaboration between the VU 
Amsterdam and Philips Research and while the PostDoc will be based at VU 
Amsterdam it is expected that (s)he will also spend time at the High 
Tech Campus in Eindhoven.

=== Tasks ===

● Conducting research in the area of machine learning and computational 
intelligence to create adaptive devices for population health, resulting 
in high quality publications.
● Contribute to the teaching program of the Department of Computer 
Science (supervision of Master students, contributing to a course within 
the department’s curricula)
● Writing research proposals to fund future collaborations between the 
parties involved (and if desired to fund extensions of the current position)
● Act as a linking pin between the two parties involved in the 
collaboration (VU Amsterdam and Philips Research).

=== Requirements ===

● The candidate should have a strong background (PhD) in related field 
of Computer Science, such as Artificial Intelligence or Machine Learning.
● Experience with the development and implementation of machine 
learning/computational intelligence techniques.
● Excellent communication skills.
● Affinity with the domain of eHealth and Population health.
● Experience in teaching and supervision of Master students.

=== Further particulars ===

The initial appointment will be for a period of three years at VU 
Amsterdam. You can find information about our excellent employment 
conditions at www.workingatvu.nl such as:
● Remuneration of 8,3% end-of-year bonus and 8% holiday allowance;
● Solid pension scheme (ABP);
● A minimum of 232 holiday hours in case of full-time employment;
● Possibilities to save up holidays for sabbatical leave.
● A commuting allowance (65%) based on public transport.

=== Salary ===

The salary will be in accordance with university regulations for 
academic personnel, and depending on experience, range from a minimum of 
€ 2.476 gross per month up to a maximum of € 3.908 gross per month 
(salary scale 10) based on a full-time employment.

=== About the organization ===

VU University Amsterdam is one of the leading institutions for higher 
education in Europe and aims to be inspiring, innovative, and committed 
to societal welfare. It comprises ten faculties and has teaching 
facilities for 23.000 students.

The Faculty of Sciences performs research in the areas Life & Health, 
Networked World, Fundamentals of Science, and Energy & Sustainability. 
More than 1700 students participate in mono- and interdisciplinary 
bachelor and master courses. The staff is hosted in the departments of 
Physics, Chemistry & Pharmaceutical Sciences, Mathematics, and Computer 
Sciences.

=== Further information ===

For additional information please contact:

Dr. M. Hoogendoorn
Email: m.hoogendoorn at vu.nl
Phone: +31 20 59 87772

Prof. A.E. Eiben
Email: a.e.eiben at vu.nl
Phone: +31 20 59 87758

You may find the following websites useful:
• Amsterdam Data Science amsterdamdatascience.nl/
• Computer Science VU www.cs.vu.nl
• Computational Intelligence Group http://www.cs.vu.nl/ci

=== Application ===

Applications may only be submitted via 
informatica.secretariaat.few at vu.nl before January 7 2016. To process 
your application immediately, please quote the vacancy number and the 
title of the position you are applying for in the subject-line. 
Applications must include a detailed curriculum vitae, a motivation 
letter explaining why you are the right candidate, list of projects you 
have worked on with brief descriptions of your contributions and the 
names and contact addresses of two academic references from which 
information about the candidate can be obtained. All these should be 
grouped in one PDF attachment.


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Dr. Mark Hoogendoorn
Assistant Professor
VU University Amsterdam, Department of Computer Science
De Boelelaan 1081, 1081 HV Amsterdam, the Netherlands
tel. +31 20 598 7772 mob. +31 653922626
url. http://www.cs.vu.nl/~mhoogen/