PhD student in Model-Based Testing of Variant-Intensive Systems

RISE - Research Institutes of Sweden
As a subsidiary of RISE, RISE SICS is a leading research institute for applied information and communication technology in Sweden. RISE SICS is a research institute in the most expansive area of industry this century: the total digitalization of products, services and businesses. RISE SICS is in the midst of this revolution, boosting the competitive strength of Swedish industry and the quality and efficiency of Sweden's public sector. We contribute with cutting edge technology within the fastest growing and most relevant areas for this revolution to happen, including big data analytics, automation, security, and internet-of-things.

RISE SICS is non-profit and carries out advanced research in close collaboration with Swedish and international industry and academia. We constantly seek partnerships in which new technology can be turned into smart innovation, giving our customers and partners a competitive edge.

https://www.ri.se/sics

Position Description
RISE SICS in the city of Västerås offers this PhD position within the scope of the XIVT (eXcellence in Variant Testing) European project. The position has a specialization in Software Testing, which entails study of basic theory and methodology for testing software. The main goal in the XIVT project is to develop tailored and optimized solutions for testing of product variants and variant-intensive industrial systems, in particular for railway propulsion control systems. To achieve this goal, application and combination of different principles and techniques such as model-based test generation, machine learning and knowledge-based processing, test optimization, and change impact analysis are considered in the project.

As a PhD student in this project, you will be involved in research and development of effective and efficient software testing methods in close collaboration with industrial partners. The focus of this position will be mainly on investigating and developing model-based techniques for testing of product baselines and their variants.

The project will be performed in close cooperation with other partners in the project, which include large industries, research institutes and universities, as well as small and medium-sized enterprises from both Sweden and the EU. Place of employment is at RISE SICS Västerås. The doctoral program will be hosted by Mälardalen University, campus Västerås.

Required Qualifications

* Master's Degree (240 credits) in Computer Science, Software Engineering, Control Engineering or in a related field, from a recognized academic institution,
* A deep interest in software testing and development
* Knowledge in model-based development/testing, particularly using Matlab Simulink
* The ability to work as part of a team in collaborative research projects and also work independently,
* A curious, goal-oriented, flexible, ambitious, and communicative personality,
* Documented skill in presenting and documenting your work in English; i.e. to describe the problem, the solution and the approach in an understandable manner (knowing Swedish can be a merit),
* Interest in applied research and developing methods and bringing them into different application areas.

General knowledge in software testing (in particular test case prioritization and test automation), being familiar with extra-functional (non-functional) properties, as well as having industry experience in software testing will be an advantage. The personal characteristics will be emphasized in the selection of the right candidate.

Application
To apply, please attach your CV and personal letter no later than August 20, 2018. Applications should include a short CV (max 3 pages) and a one-page cover letter. Candidates who move forward in the recruitment process may later also be asked to send in a complete transcript of records, and any letters of recommendation. These candidates may also be asked to send in previous work, such as extended course projects, bachelor's or master's thesis, scientific papers, or even outline of a thesis under submission.

For more information contact: Mehrdad Saadatmand +46 72 569 59 56 or Markus Bohlin +46 70 787 66 08