Arbetsgivare Malmö Högskola Placeringsort Malmö Kategori Universitet & högskola Anställningsform Tillsvidare Omfattning Heltid Sista ansökningsdatum 2017-11-19
Ph.D. position in Computer Science (Cloud vs Edge Computing for the Internet of Things)
Ref: REK 2.2.1-2017/210
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
More and more data is generated by things connected to the Internet (IoT devices). The current standard solution is that all this data is sent to the cloud to be processed and stored there. This has some advantages, but also many disadvantages, such as, delays, communication costs, server bottlenecks, security and robustness problems, and integrity issues. An alternative is to process the data (or part of it) in the connected devices or local gateways. This is often called edge (or fog) computing and is based on the fact that the connected devices are becoming more powerful. In addition, there are hybrid solutions, where some processing and storage of data occurs locally in the connected devices and some parts in cloud servers, which may preferred in some applications.
This PhD project includes the investigation and development of:
• guidelines for when cloud, edge or hybrid IoT solutions should be used, and
• new system architectures and methods for edge-based and hybrid IoT solutions.
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 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.
Bo Peterson, acting head of the Department of Computer Science and Media Technology, firstname.lastname@example.org
Sara Säthersten, HR specialist, email@example.com
Paul Davidsson, 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 Cloud vs Edge Computing for the Internet of Things. (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.
SACO, Stefan Gustafsson
ST/OFR Anita Marttila
PhD Student Union representative Niklas Ehrlin, email@example.com