Academic Jobs

Doctoral student in Computer science at Sweden

Malmö University (MAU)

Sweden

Apply Before the Deadline

Oct 13, 2021 23:59 (GMT +2)

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Faculty of Technology and Society, Department of Computer Science and Media Technology invites applications for Doctoral student (PhD studies) in computer science, at Malmö University, Sweden to starts from Feb 01, 2022

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General Info

Position: Doctoral student
No. of Positions: 1
Research Field:
Deadline to Apply: October 13, 2021(GMT +2)
Joining Date: Feb 01, 2022
Contract Period: Not Mentioned
Salary: According to Standard Norms

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

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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)

Specific requirements for this position:

  • 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 postgraduatestudies in computer science
  • Ability to work collaboratively
  • Ability to work independently

The following will benefit for the position:

  • experience in agent-based modeling and simulation
  • experience with design of simulation experiments (calibration, execution, analysis of results)
  • experience with use of simulation for decision support
  • experience with ensemble methods, e.g. in machine learning (bagging, boosting, etc.)
  • experience with social simulation
  • experience with the application of simulation in different areas (e.g., health care, transportation, logistics)

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).

Participate in the project ”Realizing the potential of agent-based social simulation” which aims to make agent-based social simulation a trustworthy and powerful tool for supporting societal decision makers and analysts. The work will include the development of sophisticated models of human behavior that take diversity of individuals into account, e.g., socio-demographic factors and personality traits that affect individual decision-making and behavior. Moreover, the project investigates how simulation models can be designed and combined to increase robustness, precision, and scalability. Application areas that will be considered include, for instance, public health, city planning, and transportation.

The research studies will be carried out within the Internet of Things and People research center (mau.se/iotap) and is a part of the Wallenberg AI, Autonomous Systems and Software Program on Humanities and Society (wasp-hs.org). In addition to the research, it is expected that 20% of the position is devoted to teaching, mainly at the Department of Computer Science and Media Technology.

How to Apply?

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

Reference Number: REK 2021/191
(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 https://mau.app.box.com/s/xe74zorhnlfmst7ejy65440r77f0n2l6
  • 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 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.

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.

About the Employer: Malmö University (MAU)

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Contact details

Head of department, Bo Peterson, 040-6657619, bo.peterson@mau.se

HR-specialist, Sara Eriksson, 040-665 76 59, sara.eriksson@mau.se

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: https://sweden.se/work-business/working-in-sweden/why-work-in-sweden

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