2022-12-04: Job: PostDoc Position in Information Visualization / Visual Analytics at Linnaeus University, Sweden. (Deadline: January 9, 2023): Difference between revisions
Created page with "<center><span style="font-size:160%">'''PostDoc Fellowship in Information Visualization and Visual Analytics'''</span></center><BR> <center>'''placed at Linnaeus University, Department of Computer Science and Media Technology, Faculty of Technology – Växjö Campus, Sweden'''</center><BR> ==Your workplace== The advertised position will be placed in the [http://cs.lnu.se/isovis/ ISOVIS] group, led by Professor Andreas Kerren. The research group mai..." |
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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 the Linnaeus University Centre for Data Intensive Sciences and Applications (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. | 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 the Linnaeus University Centre for Data Intensive Sciences and Applications ([https://lnu.se/en/research/research-groups/linnaeus-university-centre-for-data-intensive-sciences-and-applications/ 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. | ||
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, but possibly also in the areas of the domain experts. | 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, but possibly also in the areas of the domain experts. |
Revision as of 12:29, 4 December 2022
Your workplace
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.
Your work assignments
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 the Linnaeus University Centre for Data Intensive Sciences and Applications (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.
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, 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). The teaching tasks relate to subjects of the ISOVIS research group, as well as to more general courses in computer science and software development.
Your qualifications
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.
How to apply
Interested candidates find detailed application information including terms of employment, needed documents, and contact details on the following web page
Online applications (reference number: 2022/1019-2.2.1) will be received until January 9, 2023.