[robotics-worldwide] [jobs] PhD in Computer Vision/Deep Learning for Autonomous Driving in Sweden

Eren Erdal Aksoy aksoyeren at gmail.com
Wed Mar 27 09:00:19 PDT 2019

Halmstad University and the School of Information Technology announce the
availability of a Lic. Ph.D. position in Computer Science and Engineering.


The selected Ph.D. student will carry out research on developing novel
generative neural networks to achieve knowledge transfer between various
sensor modalities.  The Ph.D. work also involves the implementation of
novel stochastic regularization methods to make the autonomous vehicle more
robust to failures in a multi-sensor setup.  The research will be performed
within the SHARPEN (Scalable Highly Automated vehicles with Robust
PErceptioN) project in close collaboration with Volvo Technology AB.
Therefore, the candidate requires spending time both at Halmstad University
and Volvo in Gothenburg.

The selected Ph.D. student will be responsible for conducting research
within the SHARPEN project and for participating in the required Ph.D.
course activities. The employment also includes teaching responsibilities
corresponding to a maximum of 20% of full-time. The applicant will be part
of an international workgroup and an English-speaking environment.

This is a full-time position available from April 2019 for a period of one
year with a possibility of a further extension, subject to satisfactory
progress of the Lic. Ph.D. study and funding availability. Enough resources
to fund experiments and conference travels are available.

*Requirements *

The ideal candidate has a Master’s degree in computer science, machine
learning, robotics, mathematics, physics, or a related engineering
discipline. A strong background in computer vision, machine learning, or
software engineering is desirable. Excellent programming skills, analytical
problem solving and organizational abilities are required. Prior practical
experience in deep learning is a plus.


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

A full application consists of:

   1. a detailed CV
   2. a motivation letter / research statement
   3. two reference letters
   4. copies/links to publications and software samples, if any
   5. degree certificates and grade transcripts (master and bachelor)
   6. summary (1-2 pages) of the master’s thesis

List of qualifications and other documents that the applicant wishes to
refer to should be enclosed with the application. All copies must be

*Work Environment*

Halmstad University is a young university which has around 11,000 students
and offers around 50 programmes and over 130 courses within several subject
fields. The university is located in Halmstad which is a port, university,
industrial and recreational city at the mouth of the Nissan river, in
the province of Halland on the Swedish west coast.

The position is at CAISR (Center for Applied Intelligent Systems Research),
which is a long-term research program on intelligent systems at the School
of Information Technology at Halmstad University. The focus of the centre
is on aware intelligent systems, computer systems that are human aware,
situation-aware and to some extent “self-aware". This means systems that
can communicate with humans, systems that can be aware of human intentions,
systems that can fuse information and be aware of the situation and not
just individual sensor readings, and systems that can be self-monitoring.

*General Information*

We value the qualities that gender balance and diversity bring to our
organization. We, therefore, welcome applicants with different backgrounds,
gender, functionality and, not least, life experience.

Read more about Halmstad University at

Online Application 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=https-3A__aksoyeren.github.io_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=nnXSVysd7ny9AcvKbIxLVZV-4IwjoHu4Kh-8H44vnGI&s=MXJo4oHhj-ShvAsjwYHwVOHCJCRjfmyjkNu4Q8uiFh0&e=

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