Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Linköping University
- Uppsala universitet
- Umeå University
- Linköpings universitet
- Swedish University of Agricultural Sciences
- Karolinska Institutet, doctoral positions
- Lunds universitet
- Malmo University
- Umeå universitet
- University of Lund
- Chalmers University of Technology
- Chalmers tekniska högskola
- Linkopings universitet
- Lulea University of Technology
- Luleå University of Technology
- Luleå tekniska universitet
- Nature Careers
- SciLifeLab
- Stockholm University
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- Swedish University of Agricultural Science
- 13 more »
- « less
-
Field
-
of excellent research a prominent place in Scandinavian mathematics. The department consists of three divisions: Mathematics, Mathematical Statistics and Computational Mathematics. The research at the Division
-
, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
-
qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced
-
. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied Mathematics, with a minimum of 240 credits, at least 60 of which must be in advanced
-
2026 - 12:00 (UTC) 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
-
14 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Technology
-
English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
-
. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
-
their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
-
Science, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively