PhD student in Computer and Systems Sciences with focus on Capability Analysis for Information Systems

Ref. No. SU FV-0855-17

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at the Department of Computer and Systems Sciences. Closing date: 15 April 2017.

The Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden and the largest department at Stockholm University with around 6,000 students. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences. The use and design of IT is put in context in relation to people, organizations, and society. DSV offers a stimulating research environment in an international setting.

Project description
The project continues the research direction of the recently completed EU project CaaS – Capability as a Service for digital enterprises. The thesis project will focus on new means of extending current information system development approaches with models and methods for development, monitoring and adjustment of software supported business capabilities. More specifically, models, methods and tools for the following challenges may be addressed: (1) to continuously monitor business capabilities and their contexts by the use of indicators, (2) to have a clear understanding of what adjustments may be performed at runtime, and (3) to make decisions about what adjustments should be done. Currently, addressing these challenges with state of the art methods and tools usually requires crafting solutions for each case separately. The thesis research should aim at extending further the current information systems development approaches and tools. This entails using enterprise models, such as process models and goal models, and information system models based on the principles of Model Driven Development. Central to this principle is that models are a key part of software development and analysis. A working hypotheses are that the envisioned method and models should be model-driven to support the creation of software applications for run-time monitoring and adjustment of business capabilities.

Qualification requirements
In order to meet the general entry requirements, the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

In order to meet the specific entry requirements, the applicant must have completed courses at second-cycle level in computer and systems sciences with a minimum of 90 higher education credits, or equivalent, including a thesis with a minimum of 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.

Both general and specific academic entry requirements must be met.

Only a person who will be or has already been admitted to a third-cycle programme may be appointed to a doctoral studentship. The primary assessment criteria in appointing a doctoral student should be the capacity to benefit from the training.

Selection
The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity:

  • Capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence
  • Knowledge in the field of computer and systems sciences with a particular focus on Enterprise Modelling and Information System development
  • Documented experience with modelling and Information System development methods and tools.

Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules.

Terms of employment
The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Please note that admission decisions cannot be appealed.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact
For more information, please contact Professor Janis Stirna, js@dsv.su.se, or the Director of PhD studies, Sirkku Männikkö-Barbutiu, sirkku@dsv.su.se.

Union representatives
Anqi Lindblom-Ahlm (Saco-S) and Lisbeth Häggberg (Fackförbundet ST and Lärarförbundet), telephone: +46 8 16 20 00 (operator), seko@seko.su.se (SEKO), and PhD student representative, doktorandombud@sus.su.se.

Application
Apply for the position at Stockholm University's recruitment system by clicking the "Apply" button. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.

Please include the following information with your application

  • Your contact details and personal data
  • Your highest degree
  • Your language skills
  • Contact details for 2–3 references

and, in addition, please include the following documents

  • Cover letter
  • CV – degrees and other completed courses, work experience and a list of degree projects/theses
  • Research proposal (no more than 3 pages) describing:
    – why you are interested in the field/project described in the advertisement
    – why and how you wish to complete the project
    – what makes you suitable for the project in question
  • Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)
  • Letters of recommendation (no more than 3 files)
  • Degree projects/theses (no more than 3 files).

The instructions for applicants are available at: Instructions – Applicants.

You are welcome to apply!

Stockholm University – our education and research produce results.

Closing date: 15/04/2017

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