[robotics-worldwide] [jobs] Postdoctoral position in Information Technolgy with a focus on Data Mining, Sweden

Eren Erdal Aksoy aksoyeren at gmail.com
Thu Nov 8 04:47:53 PST 2018

Halmstad University, School of Information Technology

This two years full-time employment at the School of Information
Technology, with a starting date as soon as possible, is linked to the
Department of Intelligent Systems and Digital Design, a dynamic research
environment with a focus on aware intelligent systems.

The subject expertise in the group is machine learning, data mining, signal
analysis, mechatronics and digital service innovation. Mining of sensor
data streams and medical records, big data analytics, self-monitoring, and
deviation detection are examples of areas of particular interest for us. We
have a very good track record of doing research in close collaboration with
the Swedish industry and public sector. The department has about 30 MSEK
annual research budget, with 13-16 PhD students and about 30 researchers
with PhDs. The department hosts the Centre for Applied Intelligent Systems
Research (CAISR). The latest annual report for CAISR is available at

The PostDoc position is primarily funded by the research project SeMI
(Self-Monitoring for Innovation: Meta‑framework for group-based

The core research question of the SeMI project is “How to construct
self‑monitoring systems that use joint-human machine learning to adapt to
specific domains, by taking advantage of groups of peers, and ubiquitous
streams of data?” In order to answer this question we propose to develop a
general meta-framework that can, based on domain-specific input, create
tools for group-based self-monitoring for that particular domain. This
meta-framework should be capable of learning from streams of data and
detecting deviations in an unsupervised fashion, but interactively exploit
available expert knowledge in a joint human-machine learning fashion. The
unprecedented amount of data accessible today allows ML to focus on more
descriptive and explanatory analysis. Users no longer pose well-formulated,
concrete questions, but instead require the system to be capable of
highlighting interesting aspects such as deviations, anomalies, relations
and co-occurrences. We will support continuous learning model, where the
training and usage are not easily separated, and the system improves its
performance all the time, taking advantage of new data as it arrives.

*Principal duties*

The selected candidate will become part of the very dynamic and
international research environment at the Center for Applied Intelligent
Systems Research (CAISR), at the School of Information Technology. For more
information please see: https://urldefense.proofpoint.com/v2/url?u=http-3A__caisr.hh.se_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Bz5Z8fidGRvLQmplpISNymh_o1B3ZjLkgXJ7mnSMZiU&s=bm7nTGpYr0qWZ9r4YPYkjtdN8_GPocrFNmbnSqZd5vA&e= The post as postdoctoral
researcher is a qualifying appointment with the purpose to give the
employee a possibility to develop its independence as researcher and to
obtain merits that can lead to a competence for another post with higher
eligibility requirements. As a postdoctoral researcher you are expected to
be active in the research done within the research environment CAISR. The
teaching load will be at most 20% of the time working hours. Furthermore,
we expect you to take an active part in the continued development of the
research environment and that you will take part in applying for research
funding from various financiers, both in Sweden and abroad.


The position is intended for someone with a recent PhD degree in
Information Technology, Computer Science, Computer Engineering, or closely
related fields. The research track record should demonstrate excellence in
research areas such as machine learning and data mining. Strength in
computer programming and/or applied mathematics is very welcome.


Salary is to be settled by negotiation. The application should include a
statement of the salary level required by the candidate.


Applications should be sent via Halmstad University's recruitment system
MyNetwork (see link on this page).

The application package shall consist of:

1) a cover letter stating the purpose of the application and a brief
statement of why you believe that your goals are well-matched with the
goals of this position, together with a description of future research plans

2) a CV that includes at least

- a list of previous degrees, with dates and institutions

- a complete list of publications with 2-3 most relevant ones for this
position marked

- a description of previous research and other work experience

3) contact information for at least three references.

*General Information:*

The working language is English and no knowledge of Swedish is required to
start working at the University. Also for daily life, English is spoken
widely and Sweden has the highest English Pro­ficiency index in the world.
Of course, it’s advisable that the employee learn Swedish. Both the
University and the local government provide extensive facilities.

Halmstad is a popular summer destination located on the Swedish west coast.
It is situated halfway between two cosmopolitan areas: the
Copenhagen-Malmö-Lund area and the Gothenburg area, making it a
well-connected, yet a pleasantly calm place to live. Halmstad can be
reached by a direct train connection from the Copenhagen Kastrup Airport,
as well as other local airports (e.g., Gothenburg Landvetter Airport,
Halmstad, and Helsingborg/Ängelholm airports).
Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
Number of positions 1
Working hours 100%
City Halmstad
County Hallands län
Country Sweden
Reference number 2018/89

   - Antanas Verikas, 035-167140
   - Slawomir Nowaczyk, 035-167411

Union representative

   - Kristina Hildebrand, Saco-S, 070-7721015
   - Camilla Soto, ST, 035-167242
   - Anniqa Lagergren, OFR, 035-167655

Published 14.Sep.2018
Last application date 30.Nov.2018 11:59 PM CET

For online application, please use the following link:

Eren Erdal Aksoy
Assistant Professor
Halmstad University (HH)
School of Information Technology (ITE)
Center for Applied Intelligent Systems Research (CAISR)

Visiting Scholar
Volvo Group Trucks Technology
Environment Perception, Vehicle Automation

P O Box 823, Room E526
SE-301 18 Halmstad, Sweden

Office: +46 35-1671 21
Mobile: +46 729 77 36 51
E-Mail: eren.aksoy at hh.se
E-Mail: eren.aksoy at volvo.com
Web: https://urldefense.proofpoint.com/v2/url?u=http-3A__islab.hh.se_mediawiki_Eren-5FErdal-5FAksoy&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=Bz5Z8fidGRvLQmplpISNymh_o1B3ZjLkgXJ7mnSMZiU&s=B1YkHsg-Cp529yMBHjttNN8k_TrLXwdiVcia6V0f4ow&e=

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