Postdoc fellowship in Information Visualization and Visual Analytics

Job title:

Postdoc fellowship in Information Visualization and Visual Analytics

Company

Linnéuniversitetet

Job description

Welcome to Linnaeus University! Here you’ll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With us, research and education are conducted with an eye towards the future. Our proximity to the business world, both locally and globally, gives us a wide reach and the ability to create change that makes an impact. All that’s needed is a place where ideas have the space to meet and grow. That’s what we’ve created – and you are invited.Change starts here!Linnaeus University is running various national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science, and humanities. Linnaeus University runs a graduate school for industrial doctoral students that focuses on applied research, addressing the big data and artificial intelligence challenges of our industry partners.The advertised position will be placed in the ISOVIS group ( ), led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. 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 Information Visualization and Visual Analytics
Placement: Department of Computer Science, Faculty of Technology – Växjö Campus, SwedenEmployment: 100% employment full-time for two years with possibility for 1-year extension. At most 20% time can be dedicated to teaching and other departmental tasks.Start date: According to agreementJob description and dutiesThe postdoc fellow will conduct research at the borderline between the fields of information visualization / visual analytics as well as machine learning in close collaboration with ISOVIS members, other research groups of the department, and domain experts within DISA. The work duties include the whole research cycle, i.e., from literature reviews and the identification of research challenges, throughout the implementation of visual analytics tools and performing user studies, to the reporting of the results in publications.In this context, the postdoc fellow is expected to regularly present intermediate/final research results at international conferences/workshops and publish them in highly-ranked conference proceedings and journals in the areas of information visualization, visual analytics, applied machine learning but possibly also in the areas of the domain experts.Within the DISA environment, large and complex data sets from various domain areas need to be efficiently visualized to transform data into useful information and new knowledge by the development of visualization principles, techniques and visual analytics tools, including provisioning suitable backend infrastructures to serve web-based, interactive visualizations.To the extent of maximal 20% of the working time, the postdoc fellow will be involved in teaching activities at different levels (incl. supervision of Bachelor’s and Master’s thesis projects) and providing visualization support for scientists affiliated to DISA or for researchers approaching us through the National Research Infrastructure for Data Visualization (InfraVis; ). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.Eligibility Requirements
Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall have been obtained no longer than three years before the expiration date of the application. Eligibility for this position also requires that the doctoral thesis has a focus on information visualization, visual analytics, or closely related fields.Excellent written and oral communication skills in English are required.Assessment criteria:
Excellent knowledge in the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data mining, and machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable. Documented expertise and working experience within at least two of the following research and educational areas is a great advantage:

• Visual analytics of large data sets for decision support
• Visualization of multidimensional and/or time-series data in combination with machine learning and/or data mining techniques
• Explainable AI/ML using visualization
• AI/ML-empowered visual analytics of multivariate networks (network embeddings, …)
• Large Language Model (LLM)-assisted visual analytics of text, images, …

Experiences in specific application domains and their visualization needs, especially related to the two DISA-groups of data-intensive digital humanities and eHealth, are an asset in the assessment process.Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable.Applicants will be selected through a qualitative overall assessment of the competences and skills, assessed most suitable to conduct research and to contribute to a successful development of the research environment.Further information, Please contact:

• Professor Andreas Kerren, +46 470 767502,
• Head of department, Professor Arianit Kurti, +46 470 708375,
• Human Resources Consultant, Erika Hjelmer, +46 470 708206,

Welcome with your application! Last day for application is April 30th 2025.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. Your application should be designed according to the Template for application which can be found in the Guide to Appointment procedures under important documents below the ad. The credentials you invoke must be verified with certification and they must be attached digitally in your application. Other documents, including various types of scientific works, must be submitted digitally along with the 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 23.59 (Local time in Sweden) on the closing day.Linnaeus University is an employer that meets the requirements of the European Charter for Researchers and follows the recruitment guidelines. Therefore, the university has received the HR Excellence in Research award.URL to this page
https://lnu.se/en/meet-linnaeus-university/work-with-us/vacancies-page/?rmpage=job&rmjob=8478&rmlang=UK

Expected salary

Location

Växjö, Kronoberg

Job date

Sat, 22 Mar 2025 03:05:38 GMT

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