Malmö Doctoral studies in computer science, Sweden

Malmö University (MAU)


Malmö University, Faculty of Technology and Society seeks a doctoral student (PhD studies) in computer science, Sweden – Jan 10, 2022

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General Info

Position: Doctoral student
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: Jan 10, 2022
Contract Period: Not Mentioned
Salary: According to Standard Norms

Faculty of Technology and Society
Department of Computer Science and Media Technology
Malmö University (MAU)

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Qualification Details

Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships (Chapter 5, Section 3 of the Higher Education Ordinance). Preparation of admission to postgraduate education and employment as a doctoral student take place in parallel. Those who have basic requirements for admission will have:

  • passed a degree at advanced level, or
  • completed course requirements of at least 240 ECTS, of which 60 ECTS at advanced level, or
  • in some other way, in- or outside Sweden, have acquired equivalent knowledge (HEO Chapter 7 section 39)

Special eligibility is accorded to those who:

  • have knowledge and skills equivalent to a second-cycle degree in computer science or in another subject that has relevance for computer science, or
  • have acquired essentially equivalent knowledge in or outside Sweden
  • are proficient in English to the extent required for conducting postgraduate studies in computer science

The ability to demonstrate the following skills and experience is desirable:

  • Experience with programming using different programming languages
  • Experience with mathematical optimization, simulation, and/or machine learning
  • Methodological and scientific maturity
  • Excellent communication skills in spoken and written English
  • Ability to work collaboratively
  • Ability to work independently
  • Ability to meet deadlines

Assessment criteria

When selecting between applicants for vacant positions, the ability to complete postgraduate education is assessed (HEO Chapter 7 Section 5).

Responsibilities/Job Description

Those appointed to doctoral studentships shall primarily devote themselves to their studies. Those appointed to doctoral studentships may, however, work to a limited extent with educational tasks, research, artistic research and administration, however, duties of this kind may not comprise more than 20 per cent of a full-time post (Chapter 5, Section 2 of the Higher Education Ordinance).

The PhD student will work with the development and application of methods in computer science, including optimization, simulation, agent technology, and machine learning in order to build decision support systems in the area of health care logistics, with special focus on stroke patients.

The PhD student will be part of an interdisciplinary research initiative aiming at improving healthcare logistics and providing equal care for the inhabitants of the Southern Health Care Region, which comprise the Regional councils of Blekinge, Halland Kronoberg, and Skåne. The initiative is a collaboration between Malmö university, Skåne University Hospital, and the Southern Regional Health Care Committee, and the current focus of the work is to improve the situation for the stroke patients in the region.

Stroke is a medical condition resulting in reduced blood flow in the vessels inside the brain. The lack of blood flow causes severe damage on the brain cells, and without immediate treatment, the patient has a low chance to make a satisfactory recovery and almost two in five patients die. However, providing fast treatment of stroke patients is far from trivial, which to a large extent is due to logistical challenges.

The work of the PhD students is expected to result in strategic and operational decision support to1. Identify logistical approaches that have potential to reduce the time from emergency call to treatment of patients.2. Evaluate the identified approaches using simulation.3. Suggest operational solutions in real time.

In particular, optimization and simulation is involved in the identification and evaluation of actions, and machine learning methodology is involved to generate operational decision support.

How to Apply?

Online Application through "Apply Now" Button from this page or from advertisement webpage (URL below)

Reference Number: REK 2021/188
(If any, use it in the necessary place)

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Documents Required

The application must include:

  • Completed application form for admission to Research Education
  • Curriculum Vitae
  • Diplomas, transcript of records and other certificates relevant for the position
  • Independent work at advanced level (including master thesis or equivalent)

About the Department

The Faculty of Technology and Society, TS, conducts education and research with a focus on technology and natural sciences, in close collaboration with industry and other social actors and higher education institutions. The two departments at the faculty are: Computer Science and Media Technology and Materials Science and Applied Mathematics.

The Department of Computer Science and Media Technology provides research-linked courses and study programmes at first-cycle and second-cycle level. The department conducts research in: Computer science, Information Systems, Software Engineering and Media and Communication Technology. Education and research are conducted in close collaboration with parties from both the private and public sectors.

About the Employer: Malmö University (MAU)

Note or Other details

Union representatives

SACO-S Mats Syde,

OFR/ST Bodil Sterner,

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Contact details

Head of department, Bo Peterson, 040-6657619,

HR-specialist, Sara Eriksson, 040-665 76 59,

In our recruitment work, Malmö University has taken a stand regarding recruitment channels and marketing. We therefore decline all offers of advertising and recruitment assistance in connection with this advertisement.

You can read more about the benefits of working in Sweden here:

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