[ecrea] Ph.D. position in Computer Science (with an orientation towards, Computational Media and Datafication of Health)

We’re hiring a PhD student (fully funded, 4-5 years depending on 
teaching [maximum 20%]) in computer science with an orientation towards 
”computational media och datafication of health”. For this particular 
position we are looking for a candidate that is able to undertake 
research in an interdisciplinary research environment. Preferably s/he 
should also have experience of methodologies such as digital 
ethnography, ethnography, and/or computational methods to study digital 
media.



  Ph.D. position in Computer Science (with an orientation towards
  Computational Media and Datafication of Health)

*Ref: 2.2.1-2017/211*

*General information about Malmö University*
Since its inception in 1998, Malmö University has grown into the 
country's eighth largest institution of higher education with 25 000 
students. Its education and research programmes are distinguished by 
their multidisciplinary, problem-oriented approach and social relevance. 
The university offers students a range of educations in five faculties: 
Culture and Society, Education and Society, Health and Society, 
Odontology, and Technology and Society.

*The Faculty of Technology and Society*
The Faculty of Technology and society (TS) offers educations and 
research in computer science and media technology as well as engineering 
and natural sciences and applied mathematics. A characteristic of our 
research and teaching is the engagement of companies and other 
organizations as active participants. We are located in Malmö city close 
to Malmö Central Station.

*The Department of Computer Science and Media Technology
*At the Department of Computer Science and Media Technology, currently 
around 60 lecturers, researchers and professors are employed. The 
department has an international flair with employees from some 20 
different countries.

The department offers eight different bachelor degree programmes and 
three master degree programmes within media development, computer 
science, computer systems engineering and informatics. Our degree 
programmes, as well as, our research activities, have a close connection 
with the surrounding society and the industries in it. Most of our 
educational programmes were assessed as maintaining very high quality by 
the Swedish Agency of Higher Education in the latest evaluation.

At the department, the research is devoted to the digitalization of our 
society, and a special area of attention is the Internet of Things, 
where we mainly investigate the usefulness and human use of the 
connected devices in our surroundings. Other research areas that our 
researchers investigate are, e.g., software engineering, intelligent 
transport systems, and computational media. Apart from a strong 
cooperation with the industry and with several research organizations, 
such as the Internet of Things and People Research Center, Software 
Center, and the Swedish Knowledge Center for Public Transport, our 
researchers actively take part in research projects with universities 
around the world.

For more information about the activities at the department, please 
visit this address:

(http://mah.se/english/faculties/Faculty-of-Technology-and-Society/).

*Job description Ph.D. programme in Computer Science*
The successful candidate will become part of the Computational Media Lab 
and undertake interdisciplinary research focusing on the societal 
challenges related to the datafication of health. The Computational 
Media Lab is a research lab that engages with challenges brought about 
by processes of digitalisation and datafication. Using, reconfiguring, 
and creating a multitude of research methodologies, research within this 
lab engages with the tension between computer science, interaction 
design and media studies by studying how, for instance, people engage 
with and make sense of big data and digital technologies in their 
everyday lives. The PhD project is expected to explore questions of 
datafied power, how people are living their everyday lives with and 
through data, and how relationships between data and people are mediated 
in various ways. This position is specifically oriented towards 
experiences and expectations within health care and self-care practices 
but should also probe links to other relevant areas of datafication that 
are not explicitly related to health.

*Employment as a Ph.D. student*
An employed Ph.D. student shall primarily devote time to his/her own 
research training. Teaching assignments of up to 20% may be part of your 
duties.Regulations regarding employment of Ph.D. students can be found 
in Higher Education Ordinance 5 Chap. 1-7 §§. The Ph.D. student is 
expected to actively participate in the research and teaching environment.

The aim of the Ph.D. programme is to develop the knowledge and skills 
required for the Ph.D. student to independently conduct research and 
thereby contribute to the development of knowledge within the project. 
The Ph.D. programme is worth 240 higher education credits (equivalent to 
four years of full-time studies) and usually combines with 20% teaching.

The position as PhD student normally consists of 80% research within the 
Computational media lab, and 20% teaching at the Department of Computer 
Science and Media Technology. The successful candidate will partake in 
the future developments of the master’s programme "Media Technology: 
Strategic Media Development” that draws on a wide range of fields such 
as internet of things, digital humanities, digital ethnography, computer 
science, cultural studies, and media studies.

*Eligibility requirements for admission
*Ph.D. students are both employed and admitted to the study programme in 
parallell. To be eligible for PhD studies, a student must have:

1)      a second-cycle higher education degree.

2)      completed course requirements of at least 240 higher education 
credits, of which at least 60 higher education credits are second-cycle.

3)      in some other way, nationally or internationally, acquired 
equivalent knowledge.

Regulations regarding admission to PhD studies can be found in Higher 
Education Ordinance 7 Chap. 34-41 §§.

*Special admission requirements*
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

Good knowledge of written and spoken English is a prerequisite.

*Assessment and selection criteria
*Initial assessment concerns the general and specific eligibility 
requirements (above).

Further, according to Higher Education Ordinance 5 Chap. 5 §, importance 
is placed on the student’s ability to appropriate the advanced learning 
of the third-cycle PhD programme. The previously written material and 
the dissertation plan are important indicators of this ability as well 
as research experience and documented relevant working life experience. 
Of special relevance are independently written material on advanced 
level (MSc).

Good knowledge (on the level of second-cycle higher education degree) of 
computer science or related area

Additional assessment criteria include demonstrated analytical and 
communication skills, and demonstrated fluency in written and spoken 
English.

General assessment criteria

  *

    Independence of analysis and presentation in previous work

  *

    Problem formulation and scientific rigour in previous work

  *

    Methodological and scientific maturity

  * Communication skills

Additional assessment criteria

  *

    Ability to undertake research in an interdisciplinary research
    environment

  *

    Experience of methodologies such as digital ethnography,
    ethnography, and/or computational methods to study digital media.

*Information
*Bo Peterson, acting head of the Department of Computer Science and 
Media Technology, (bo.peterson /at/ mah.se) <mailto:(bo.peterson /at/ mah.se)>
Sara Säthersten, HR specialist, (sara.sathersten /at/ mah.se) 
<mailto:(sara.sathersten /at/ mah.se)>
Martin Berg, Associate professor, (martin.berg /at/ mah.se) 
<mailto:(martin.berg /at/ mah.se)>

Malmö University has carefully considered recruitment platforms and 
advertising options. Please do not contact us with advertising offers or 
collaborations for recruitment.

*Instructions for application
*You apply through Malmö Universities’ recruitment system by clicking 
the button “ansök”. You have the responsibility that your application is 
completed with all required documentation according to the adverted 
position. Your application must have arrived no later than 2017-11-05.

The application should contain the following documents:

  1. A personal letter in which the applicant gives a short description 
of him/herself and his/her research interests in relation to the 
position. (max 2 pages) //

2. CV//

3. A project plan/description in which the applicant presents her/his 
research topics and suggested studies in relation to the position's 
orientation towards Computational Media and Datafication of Health. (max 
4 pages)

4. Complete list of publications and creative works relevant to the 
position (including scholarly as well as general-interest publications, 
advanced level independent thesis and reports).

5. Master's thesis or similar degree projects

6. Copies of writings that you specifically wish to highlight (maximum 3 
writings)//

7. Certificates and university transcripts, certifying your CV//

8. References (at least 2; names, titles, contact information 
positions/relation. Please do not submit letters of reference).//

*Form of employment and starting date
*Employment is full-time and time restricted according to Higher 
Education Ordinance 5 Chap. 7 §.

Starting date: 1 January 2018 or according to agreement.

Malmö University is characterized by an open and inclusive approach, 
where gender equality and equal opportunities add value to our activities.

*Union representatives
*SACO, Stefan Gustafsson <http://forskning.mah.se/id/tsstgu>
ST/OFR Anita Marttila <http://www.nav.mah.se/person/id/IMANMA>
PhD Student Union representative Niklas Ehrlin, (niklas.ehrlin /at/ mah.se) 
<mailto:(niklas.ehrlin /at/ mah.se)>

Apply online: 
http://web103.reachmee.com/ext/I005/1015/job?site=6&lang=SE&validator=df9f5539db53eab37b3e3087d2a2669b&job_id=292


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