PhD student in Computer Science with specialization in Visual Analytics

Welcome to Linnaeus University! A place for knowledge, ideas and development. For growth potential and a belief in the future. In Småland and in the world. 

The ubiquity of sensor, computing, communication, and storage technologies provides us with access to previously unknown amounts of data—Big Data. It has revolutionized research communities and their scientific methodologies and innovated the approaches to knowledge and theory building, validation, and exploitation in the Sciences and the Humanities. With the foundation of a Linnaeus University Center on “Data Intensive Sciences and Applications” (DISA, https://lnu.se/disa) in Jan 2017, Big Data has officially become a research profile at Linnaeus University. 

The advertised position will be physically placed in the ISOVIS group led by Professor Andreas Kerren who is a member and key researcher of DISA. The ISOVIS research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies. 

Field of subject for the position: Computer Science with specialization in Visual Analytics

Placement: Department of Computer Science, Faculty of Technology – Växjö Campus, Sweden

Extent: 100% 

Work description:
The focus of this advertised PhD position and the corresponding research project is on visual analytics for engineering smarter system. The research will be performed within DISA, funded by Linnaeus University for five years. Overall aim of this DISA subproject is to better understand and engineer complex cyber-physical systems. We will develop foundational visual analytics principles, techniques and tools for analyzing data and models in those systems. Thus, trust into the analysis results will be finally increased by making the analysis methods and resulting empirical models transparent for end users. In consequence, our users will be enabled to better predict the behavior of cyber-physical systems and to reconstruct the underlying models more efficiently when needed.

Duties consist mainly of the following:


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Graduate studies in the field of Visual Analytics, with a doctoral degree as the goal. The PhD thesis should be completed and defended within the official appointment duration of five years (4 years graduate studies, 1 year departmental tasks).


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Research in the field Visual Analytics. The position is part of DISA and its subproject Visual Analytics for Engineering Smarter Systems.


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Regularly present intermediate research results at international conferences and workshops, and publish them in conference proceedings and journals.




• Close collaboration with the other project members in an interdisciplinary research environment as well as with domain experts.
• At most 20% of the working time will be dedicated to teaching and other departmental tasks.

Qualifications: see Lnu.se

Further information: 
Please contact the PI of the DISA subproject on Visual Analytics for Engineering Smarter Systems, Professor Andreas Kerren, +46 470 767502, andreas.kerren@lnu.seor the DISA research coordinator Prof. Welf Löwe, welf.lowe@lnu.se, +46 76 760 36 62
Head of department, Assoc.-Prof. Jesper Andersson, +46 470 708460, jesper.andersson@lnu.se. HR-partner, Carina Axelsson, +46 470 708507, carina.axelsson@lnu.se

Welcome to apply online no later than 2017-06-01. The application must include a cover letter (with a motivation why the candidate wants to pursue this PhD project in visual analytics), a resume and the contact information of two referees. In addition, a link to the candidate’s Master’s thesis should be provided.


Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the "Apply" button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 on the closing day.