Doctoral student in Computer Science

Malmö

Ref REK 2020/253

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.

Faculty
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.

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.

Work duties
As part of the Internet of Things and People research center, you are expected to continuously develop your capabilities and knowledge as part of an internationally active research team. The PhD work is based on developing and using digital technologies to improve healthcare and make it more personalized and effective. As starting project, you will develop a tool for continuous remote assessment of Parkinson’s patients based on multiple data types. Parkinson's disease (PD) is a chronic neurodegenerative disease characterized by motor symptoms such as slowness of movement and non-motor symptoms like depression and cognitive alterations.

The research objectives include data collection through smartphones and smartwatches, as well as signal processing and machine learning to translate the data into clinically useful indicators. The study is done together with a national clinical research partner to ensure clinical relevance, and a collaborating international university for parts of the algorithm development.

  • 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. The following programming languages are likely to be used: web technologies including HTML, CSS and JavaScript, as well as data analysis frameworks such as R, Matlab or Python.
  • Employ signal processing and machine learning techniques to extract meaningful information from raw sensor inputs such as accelerometers, and apply this to e.g. gait analysis, bradykinesia and tremor detection.
  • 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.

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).

Qualifications
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)

The ability to work independently as well as collaboratively is also required.

Specific requirements
Being able to demonstrate the following skills and experience is desirable:

  • Experience with software development using different programming languages.
  • Experience with web application, mobile phone app, or embedded systems development.
  • Experience with signal processing and/or machine learning.
  • Methodological and scientific maturity.
  • Excellent communication skills in spoken and written English.

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

Selection is also made based on the qualifications mentioned above. 

Further information

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

Project leader, Dario Salvi, 040-6658272, dario.salvi@mau.se

HR-specialist, Sara Eriksson, 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.

Application
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 2020-12-14. 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:

  • A cover letter, on a maximum of 2 pages, where you describe your experience, background and competence related to the applied position that makes you the most suitable candidate
  • CV
  • 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)

 

Miscellaneous
The post is full-time and for a limited period, 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.

Start date
2021-03-01

Union representatives
SACO-S Mats Syde, mats.syde@mau.se

OFR/ST Bodil Sterner, bodil.sterner@mau.se

 

We are looking forward to receive your application!

 


Du ansöker senast 2020-12-14 genom att klicka på knappen nedan.