Postdoc fellowship in Information Visualization and Visual Analytics

Linnéuniversitetet / Högskolejobb / Växjö
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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 (http://cs.lnu.se/isovis/), 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, Sweden

Employment: 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 agreement

Job description and duties

The postdoc fellow will conduct research within the fields of information visualization and visual analytics 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 visualization tools and performing user studies, to the reporting of the results in publications.

For more detailed info regarding Job description and duties- please visit the full ad at :

https://lnu.se/mot-linneuniversitetet/Lediga-jobb/?rmpage=job&rmjob=7780&rmlang=SE



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, or machine learning are highly preferred. Experience of teaching at undergraduate and/or advanced levels in the field is desirable.

For more detailed info regarding Assesment criterias- please visit the full ad at

https://lnu.se/mot-linneuniversitetet/Lediga-jobb/?rmpage=job&rmjob=7780&rmlang=SE:

Further information Please contact:

• Professor Andreas Kerren, kerren@lnu.se
• Head of department, Assoc.-Prof. Morgan Ericsson,ericsson@lnu.se
• Human Resources Consultant, Erika Hjelmer, ehjelmer@lnu.se

Welcome to apply according to instructions, by 13th February 2024



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 24.00 (Local time in Sweden) on the closing day.

Ersättning
Individuell lönesättning

Så ansöker du
Sista dag att ansöka är 2024-02-13
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Linnéuniversitetet (org.nr 202100-6271), http://www.lnu.se

Jobbnummer
8415726

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