Postdoctoral Fellow in Scientific Computing Full-time NEW

Postdoctoral Fellow in Scientific Computing

Lund University was founded in 1666 and is repeatedly ranked among the world's top universities. The University has around 47,000 students and more than 8,800 staff based in Lund, Helsingborg, and Malmö. We are united in our efforts to understand, explain, and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

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:

• 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.