Research Engineer in Information Visualization

Linnaeus University


June 12, 2022


Welcome to Linnaeus University! We meet the societal challenges of today and tomorrow in a spirit of openness, curiosity and creativity. By creating arenas for exchange of knowledge from different subjects, fields and cultures, we open up for new ideas and create new opportunities for long-term sustainable societal development. Linnaeus University – where people grow.

The Department of Computer Science and Media Technology is responsible for many educational programs at basic and advanced levels within computer science, software development, and media technology. Currently, more than 60 staff members work in the department. The department has a strong connection with other departments of Linnaeus University.

The advertised position will be affiliated to the information visualization research group (ISOVIS) led by Professor Andreas Kerren (see https:// The group is part of the national research infrastructure InfraVis (https: // and is with this advertisement recruiting a research engineer in information visualization (called “InfraVis application expert” in the following) for InfraVis.

Description of InfraVis

InfraVis is a national research infrastructure funded by the Swedish Research Council (Vetenskapsrådet) in support of scientific advancement through the application of state-of-the-art data analysis and visualization techniques. The goals of InfraVis are to significantly improve data analysis support, address new challenges involving large and complex data and create competitive advantages for Swedish researchers. The infrastructure consists of visualization experts working with various software solutions and access to high-end visualization laboratories. Users of InfraVis will be offered assistance through a national helpdesk with rapid response times as well as in-depth projects addressing specific data and software challenges. InfraVis will also provide software solutions based on development in connected research groups, curation of international software and best practice, and user training in the form of courses, seminars, and on-line documentation. To build an infrastructure with national coverage, we have pooled together nine visualization environments in Sweden interconnected in a nodal structure. The nodes will be hosted in proximity to research environments in visualization, which will enable direct access to the research front as well as to state-of- art facilities.


InfraVis application experts will be responsible for support and development in the visualization of scientific data. The general tasks for the InfraVis application expert include advanced user support, selection of suitable software, development of visualization tools, and training of user groups from many different research areas, see the description of InfraVis above. Thus, the main duty is to provide service in context of the infrastructure.

We offer to collaborate in a national infrastructure with a large group of other InfraVis experts anchored at the nine different universities. The InfraVis application experts are encouraged to continue develop their professional and technical skills to keep up with developments in their field, as well as expand their knowledge in other fields, according to the interest of the employee and needs of the user community.


Requirements :

For this employment as an InfraVis application expert, you must have a doctorate in information visualization, visual analytics, or equivalent from a related area. Good knowledge of modeling and development of visualization tools is a requirement including documented experience of working with large amounts of abstract data (e.g., multidimensional, temporal, textual, or relational data) from different research areas. The applicant must have excellent English skills, both verbal and written.

Additional qualifications :

Good Swedish skills are a merit, but not mandatory. It is an advantage if the applicant has work experience from a visualization environment. We also consider experience from other research domains, such as from the life sciences, digital humanities, social sciences, or machine learning, as meriting in our assessment.

Very good programming skills (Java, JavaScript / HTML5, Python, WebGL/OpenGL), experience in the development of web-based visualization tools, experience with commercial visual analytics environments (Tableau, Power BI, etc.), and a solid training in data mining or machine learning are highly preferred.

We attach great importance to personal suitability. Emphasis will be put on good ability for independent and structured work, good initiative, ability to make priorities, accuracy and service minded, ability to run and complete tasks within given time frames, flexibility and very good collaboration skills.

Terms of employment

Employment and extent: The employment is a permanent position. Scope of employment is 100 %.

Access: Starting date as soon as possible as agreed. Normally, probationary employment is applied.

Placement city: Växjö, Sweden

The application should contain a personal letter that describes why you are applying for this position with us, a Curriculum Vitae (CV) including contact details of at least two reference persons, and certificates of degrees. A link to the published doctoral thesis should be added as well.

Individual salary setting is applied, which is why salary claims should be attached to the application.

We aim to improve the gender balance at the department, so we strongly encourage female applicants.

Welcome with your application according to instructions at the latest, June 8, 2022.


Professor Andreas Kerren (Head of ISOVIS and InfraVis node coordinator), +46 470 767502,

Associate Professor Morgan Ericsson (Head of department), +46 470 767872,

HR-partner Emmy Andersson, +46 480 446108,

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. The credentials you invoke must be verified with certification and they must be attached digitally in your application. The application and other documents to be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.

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