Arbetsgivare Malmö Högskola Placeringsort Malmö Kategori Universitet & högskola Anställningsform Tillsvidare Omfattning Heltid Sista ansökningsdatum 2017-11-19
Ph.D. position in Computer Science (Towards Data Centric Organizations)
Ref: REK 2.2.1-2017/206
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:
Job description Ph.D. programme in Computer Science
The research project is conducted in close collaboration with industry and in the context of Software Center at Malmö University. Software Center is a collaboration between eleven software-intensive companies and five Swedish universities with the mission to accelerate the adoption of novel approaches to software engineering. Software Center was established in 2011 and is hosted at Chalmers University of Technology and Gothenburg University. Malmö University is a member of Software Center since 2013. The research is in the field of software engineering with a focus on large-scale software development and conducted in close collaboration with Ericsson, Volvo Cars, AB Volvo, Saab Defense, Jeppesen, Axis Communications, Tetra Pak, Grundfos, Siemens, Bosch and Qamcom. (http://www.software-center.se). The Software Center research group conducts research in a number of themes including software architecture, continuous delivery, customer data and ecosystems and software metrics. In addition, we study organizational aspects of software engineering including the transition towards self-management, empowerment and autonomous teams.
The research project focuses on the adoption and advancement of data driven development practices and how large-scale software development companies increasingly use data to improve products and learn about customers and partners in their business ecosystem. As this is associated with both technical and organizational challenges, this project identifies these challenges and help address these by developing methods and tool support. In particular, the project studies how data driven development practices can help companies increase the accuracy of their R&D investments and how experimentation techniques and real-time collection of customer data allow for continuous validation of software functionality. To allow for knowledge transfer and development of solutions that are applicable across domains, the research is conducted in close collaboration with embedded systems companies as well as with online companies.
As a PhD student, you will develop methods and tools that enable the transition towards a data driven culture in software-intensive companies across domains. This includes:
• architectures and platforms that allow for continuous collection and use of data,
• techniques that enable data driven decision-making and prioritization of software functionality,
• an ecosystem driven data integration approach that allows an organization to assess and maximize the benefits of the external partners in their business ecosystem.
The problem space is broad and covers business, process, and organizational aspects of software development and deployment. The specific focus of the project will be agreed upon between the doctoral student, the industry partners and the supervisor.
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.
Eligibility requirements for admission
Ph.D. students are both employed and admitted to the study programme in parallel. 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.
Bo Peterson, acting head of the Department of Computer Science and Media Technology, firstname.lastname@example.org
Sara Säthersten, HR specialist, email@example.com
Helena Holmström Olsson, Associate professor, firstname.lastname@example.org
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 2017-11-19.
The application should contain the following documents (when applicable):
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)
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 Towards Data Centric Organizations. (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).[ma1]
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.
SACO, Stefan Gustafsson
ST/OFR Anita Marttila
PhD Student Union representative Niklas Ehrlin, email@example.com