Postdoctoral Fellow in Scientific Computing

Organisation/Company

Lunds universitet

Department

Lunds universitet, Naturvetenskapliga fakulteten, matematikcentrum

Research Field

Mathematics

Researcher Profile

First Stage Researcher (R1)

Application Deadline

24 Apr 2026 - 21:59 (UTC)

Country

Sweden

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Work duties
At Lund University, a postdoctoral position should provide opportunities for scientific and pedagogical qualifications. Primarily, there is scope for qualifications in research, but also for some higher education pedagogy training. Teaching may also be part of the duties (max. 20%).

You will work at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling.

Qualification requirements
Requirements are:

• A PhD, or an international degree deemed equivalent to a PhD, within numerical analysis, scientific computing or similar. The PhD must have been awarded when the appointment decision is made.
• The ability to plan and carry out research of high quality, teaching skills.
• Profound knowledge of numerical methods for partial differential equations.
• Knowledge of uncertainty quantification or computational statistics.
• You have very good oral and written proficiency in English. 

Meritorious are:

• We will mainly consider candidates with a degree completed no more than three years before the last application date.
• Experience with interdisciplinary research is a strong merit.
• Experience with model reduction is a strong merit.
• Experience with scientific machine learning is a merit.

The assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Emphasis will be placed on research skills within the subject. Consideration will also be given to how the applicant’s experience and skills complement and strengthen ongoing research within the department and how they stand to contribute to its future development.

Terms of employment
This is a full-time, fixed-term employment of two years. The period of employment is determined in accordance with the agreement “Avtal om tidsbegränsad anställning som postdoktor” (“Agreement on fixed-term employment as a postdoctoral fellow”). A postdoctoral position is intended as an initial step in your career and as an opportunity to further deepen and broaden your research expertise.

Preferred start date of the position is August 15, 2026, but no later than October 1, 2026.

What we offer
Lund University is a public authority, which means that you receive special benefits, generous annual leave and an advantageous occupational pension. Lund University has generous support for parental leave and favorable offers regarding training and wellness. Read more on the University website about working with us.

Instructions on how to apply
Applications for the position are made via the university's recruitment system, should be written in English and must contain:

• A curriculum vitae with publication list.
• A cover letter describing your research experience and motivation for applying for this position (at most 3 pages).
• Contact details of at least two referees.
• If possible, an electronic copy of your PhD thesis.
• If possible, a copy of your doctoral degree certificate.
• Copies of other certificates/grades that you wish to be considered.

All documents must be in PDF.

We kindly decline all sales and marketing contacts.

Website

https://lu.varbi.com/en/what:job/jobID:910922/type:job/where:39/apply:1

Research Field

Mathematics

Education Level

PhD or equivalent

Research Field

Mathematics

Years of Research Experience

1 - 4

Number of offers available

1

Company/Institute

Lunds universitet

Country

Sweden

City

Lund

Geofield

City

Lund

Website

https://www.lu.se/vacancies

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