Postdoc in Scientific Visualization with focus on applied scientific data analysis and visualization – Linköping, Sweden

Sweden
Posted 9 months ago

Ref LiU-2023-03437

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are now looking to appoint a postdoc in Scientific Visualization with focus on applied scientific data analysis and visualization.

Work assignments

This position is part of a joint collaboration between the two of the largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: htps://wasp-sweden.org/

Within the WASP-DDLS financed project “Enlightening biology: bridging time-resolved experiments in silico”, two postdocs will work jointly on designing visual analysis methods with the aim of gaining a deeper understanding of light-induced biological processes.

Large-scale simulations rooted in quantum mechanics are currently being developed to understand light-induced processes in biological systems that produce complex, feature-rich, and high-dimensional data in addition to traditional molecular dynamics trajectories. However, extracting meaningful information from this data that provides new insight is still an open challenge. The goal of this postdoc position is to explore and develop a variety of novel analysis and visualization techniques with the aim to capture meaningful summaries of, and the features within, this complex high-dimensional data. Techniques from topological data analysis (TDA) will be extensively used to summarize and define robust comparison metrics for scalar and multifield data, as well as for tasks such as extraction, comparison, and tracking of features within. From the perspective of visualization, we aim to develop novel methods to combine the sub-fields of molecular and multifield visualization. We anticipate that our innovative methods will pave the way for a new, independent sub-area within the field of scientific visualization research, with significant potential for growth in the future.

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 an experienced researcher with a background in applied visualization and data analysis. The candidate should hold a PhD degree in Computer Science or a related subject. The candidate should 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. Fluency in spoken and written English is beneficial. Since the position involves high level of collaboration with theoretical chemists and biologists, strong skills in interdisciplinary communication and collaboration are required.

Great emphasis will be placed on personal qualities and suitability.

The workplace

You will be employed in the group for Scientific Visualization which is a part of the division Media and Information Technology on The department of Science and Technology (ITN)

The employment

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

Starting date by agreement

Salary and employment benefits

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Union representatives

Information about trade union contacts can be found here.

Application procedure

Apply for this position by clicking on the button labelled “Apply” below. Your application must reach Linköping University no later than 31st of October 2023.

Applications received after the deadline will not be considered.

We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Contact persons

Talha Bin Masood

Assistant professor

talha.bin.masood@liu.se

Emma Törnqvist

HR partner

+46 11-363448

emma.tornqvist@liu.se

Job Features

Job CategoryPostdoctoral

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