PhD Scholarship in Computational Science: Umeå University invites applications for a PhD student position in Computational Science with a focus on High-Performance Computing. This position, based in the Department of Computing Science, offers a unique opportunity to engage in cutting-edge research, particularly in the development of high-performance parallel tensor network algorithms. The successful candidate will join a dynamic team in a university renowned for its world-leading research and inclusive culture.
PhD Student Scholarship in Computational Science with Focus on High-Performance Computing
Summary Table
| Category | Details |
|---|---|
| Designation | PhD Student |
| Research Area | High-Performance Computing in Computational Science |
| Location | Umeå University, Sweden |
| Eligibility | Master’s degree in related field, programming expertise, and collaborative skills |
| Job Description | Research on parallel tensor network algorithms, career development, and potential teaching |
| How to Apply | Online via Umeå University’s e-recruitment system |
| Last Date to Apply | July 7, 2024 |
Designation
PhD Student in Computational Science with a focus on High-Performance Computing
Research Area
High-Performance Computing, particularly the development of high-performance parallel tensor network algorithms.
Location
Department of Computing Science, Umeå University, Sweden
Eligibility/Qualification
- Completion of second-cycle studies or equivalent, with at least 240 ECTS credits (60 ECTS at the second-cycle level).
- Specific entry requirements include at least 90 ECTS credits in computational science and engineering courses (30 at second-cycle level).
- Knowledge in physics, numerical methods, applied mathematics, and parallel programming.
- Proficiency in programming languages (C/C++, Python, Matlab) and parallel programming libraries (OpenMP, MPI).
- Demonstrated ability to work collaboratively and independently.
- Fluency in English.
Job Description
The PhD student will focus on developing novel algorithms, data structures, and software for tensor network computations. This interdisciplinary research involves applications in physics, high-performance computing, numerical linear algebra, and tensor computations. The position includes career development support, networking opportunities, and potential teaching responsibilities, extending the position duration to a maximum of five years.
How to Apply
Applications must be submitted electronically via Umeå University’s e-recruitment system by July 7, 2024. A complete application should include:
- A cover letter (max 2 pages) explaining your interest and qualifications.
- Curriculum vitae.
- Copies of completed BSc/MSc theses and other relevant publications.
- Degree certificates and documentation of completed courses and grades.
- Description of other relevant experiences or competencies.
- Contact information for at least two references.
Last Date to Apply
July 7, 2024
For more details, please visit the Department of Computing Science at Umeå University and the High-Performance and Automatic Computing group (HPAC).
Contact Information: Prof. Paolo Bientinesi
Email: pauldj@cs.umu.se
We look forward to receiving your application!
