Postdoc in Scientific Visualization

We are now looking to appoint a postdoc in Scientific Visualization, placed at the Department of Science and Technology, Campus Norrköping

Research area

Scientific data analysis and visualization

Work assignments 

This postdoc position is part of the project “Scientific data analysis and visualization via topology guided feature extraction and comparison” funded by the Swedish Research Council. The goal of this project is to develop new methods for explorative visual analysis of large feature-rich datasets derived from simulations or experiments. In recent years, feature-based analysis methods rooted in the strong mathematical foundations of topological data analysis (TDA) techniques have shown a lot of promise for addressing this challenge. The first step in this process is feature extraction, wherein hidden substructures in the data are identified and extracted using multi-scale feature descriptors based on the potent data abstraction capabilities of TDA. However, the primary emphasis of this project lies in the subsequent step of this visual data analysis pipeline, namely feature comparison. This is an active area of current research with many open questions. Efficient feature comparison methods would enable various downstream analysis tasks such as data summarization, feature tracking, and ensemble analysis.

Your primary research task will be to develop new algorithms as well as implement practical efficient solutions for computation and comparison of features using TDA-based techniques. An equally important task will be the application of the developed techniques to real scientific data provided by our collaborators with expertise in theoretical chemistry and physics. We envision the novel data analysis and visualization techniques developed during this project will be particularly useful for gaining insight into complex multi-dimensional data generated through workflows rooted in quantum mechanics.

As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

Qualifications

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are looking for someone who have a PhD degree in Computer Science or a related subject. You should have earlier experience in applied visualization and data analysis. For this position you need to have excellent programming skills in C++, Python, or similar, and preferably have good knowledge of graphics programming.

Knowledge of designing efficient data structures and algorithms suited for parallel computing would be advantageous. Since the position involves high level of collaboration with theoretical chemists and biologists, strong skills in interdisciplinary communication and collaboration are required. Fluency in spoken and written English is also required.

Great emphasis will be placed on personal qualities and suitability.

The workplace

You will join the Scientific Visualization group led by Prof. Ingrid Hotz, under the main supervision of Asst. Prof. Talha Bin Masood. This research group is part of the division for Media and Information Technology at the Department of Science and engineering at Linköping University located in its Norrköping Campus. The research interest of this group encompasses a range of topics, from basic research questions in scientific visualization to a wide range of application driven questions. A major emphasis is given to Topological Data Analysis (TDA) and its applications to visualization. The primary goal is developing efficient and reliable methods based on robust mathematical foundations targeting visualization needs from variety of application domains such as flow analysis, engineering and physics, and mechanical engineering ranging from small- to large-scale simulations. These research topics are highly relevant in our increasingly data-driven society no matter whether you choose a future career in academia or in industry.

The employment

This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time.

Starting by agreement.

Background screening may come to be carried out before any decision on employment is made.

Salary and employment benefits

The university applies individual salaries.

More information about employee benefits is available here.

Union representatives

Information about union representatives, see Help for applicants.

Application procedure

Apply for the position by clicking the “Apply” button. Your application must be received no later than 31st of October 2024. 
 
Applications and documents received after the date above will not be considered. 
 
Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application. 

Please note that printed publications will not be returned. They will be archived at Linköping University. 
 
In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.