Doctoral student in computer science: Digital health at Malmö University

About Malmö University

Malmö University is an innovative, urban and international institute of higher education, located in the centre of Malmö. We have around 1,800 employees and 24,000 students. Our research and education are characterised by the role we believe a university should play in an open society — to contribute to sustainability and equality in a scientifically grounded way with external partners and stakeholders. Identifying and addressing the challenges of the future are of highest priority. Our researchers and students work collaboratively to create, share and spread knowledge in order to understand, explain and develop society — both locally and globally.


The Faculty of Technology and Society conducts education and research focusing on technology and natural sciences at two departments: Computer Science and Media Technology and Materials Science and Applied Mathematics. The faculty collaborates with companies and other organisations in order to raise the level of competence, create new products, develop activities and offer students an early connection to their future working life. Our research collaborations and staff from many different countries give our activities an international profile.


The Department of Computer Science and Media Technology offers research-linked education at first-cycle, second-cycle and doctoral levels. The department conducts research in computer science, information systems, software engineering and media technology. We are interested in research and education areas such as artificial intelligence, digital media, e-health, internet of things and game development.
Department of Computer Science and Media Technology

Work duties

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).
This PhD position will be within the project Intelligent and Trustworthy IoT Systems, specifically focusing on Trustworthy Digital Health Systems. The work will be conducted in collaboration with industry and clinical partners.
Research objectives within Trustworthy Digital Health Systems include:
  • Developing data-driven novel and clinically relevant indicators that represent patients’ health status in free-living conditions.
  • Developing computationally efficient algorithms on mobile and wearable devices for patients and persons at risk to develop health problems.
  • Developing or adapting methods that assess design mechanisms promoting engagement, trust, privacy awareness.
  • Assessing key quality characteristics in embedded, wearable, and mobile applications within digital health.

Your work will be to:
  • Conduct research in the rapidly expanding field of digital health technology, with a focus on gait analysis, fall prediction, and physical capacity tests using mobile phones and wearable devices.
  • Review and analyze relevant scientific and technical literature in the field.
  • Based on current research and state-of-the-art technology, develop novel approaches to collect and analyze data from patients. Programming languages include embedded systems programming languages such as C or MicroPython, data analysis frameworks such as R, Matlab or Python, as well as web technologies such as JavaScript and HTML.
  • Employ signal processing and machine learning techniques to extract meaningful information from raw sensor inputs.
  • Implement functionality that promotes engagement, trust, and privacy awareness.
  • Systematically test developed solutions in lab and with patients to validate your research.
  • Engage with national and international research collaborators.
  • Present research results in scientific publications and specialized events.

The research studies will be carried out within the Internet of Things and People research center ( In addition to the research, it is expected that 20% of the position is devoted to teaching at the Department of Computer Science and Media Technology.


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 eligibility 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

Selection criteria

Selection among applicants who meet the general and specific entry requirements shall be made with regard to their capacity to assimilate the education (HEO Chapter 7 Section 41).
When selecting between applicants for vacant positions, the ability to complete postgraduate education is assessed (HEO Chapter 7 Section 5).
The following general criteria will be used.
  • Subject competence
  • Scientific quality in previous work
  • Methodological and scientific maturity
  • Communication and collaborative skills

The following specific criteria will be used:
  • Experience with embedded systems development
  • Experience with signal processing
  • Experience with machine learning
  • Experience with web technologies or mobile applications
  • Experience with user experience and interaction design
  • Experience with software development using different programming languages

Further information

Head of department, Bengt J Nilsson, 040-6657244,
HR-specialist, Rebecka Forslund, 040-665 73 22,
Main supervisor, Dario Salvi, 040-665 82 72,
Project manager and assistant supervisor, Carl Magnus Olsson, 040-665 75 02,
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 may apply for this position via Malmö University's recruitment system by clicking on the "Apply" button. As an applicant, you are responsible for ensuring that your application is completed in accordance with the advertisement, and that it is provided to the University no later than 2022-08-15. The applicant is responsible for ensuring that the University can read what is written in the application. If the application is not written in Swedish, English or any of the Nordic languages, the applicant is responsible for the application and its appendices being translated.
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
  • A brief research plan presenting the focus of research and a thesis concept, and how this relates to the specific post (max 4 pages). The research plan must contain an overall purpose, questions that the project intends to answer, an account of the methodological approach, a description of material collection and type of research material and an account of the theoretical framework
  • Independent work at advanced level (including master thesis or equivalent)


Preparation of admission to postgraduate education and employment as a doctoral student take place in parallel. 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).
The doctoral studentship is a fixed-term position comprising four years of full-time studies, in accordance with the Higher Education Ordinance Chapter 5 Section 7.
Malmö University is a workplace and higher education institution that is characterised by an open and inclusive approach, where gender equality and equal terms add value to our activities.
Malmö University applies salary setting for doctoral students in accordance with a local agreement on salary setting for doctoral students.

Start date


Union representatives

SACO-S Mats Syde,
OFR/ST Bodil Sterner,
We are looking forward to receiving your application!

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