Summary
Lund University is offering a fully funded, 4-year PhD position within the Division of Mathematical Physics at the Department of Physics. The doctoral researcher will focus on the theoretical and computational modeling of ultra-cold atomic and molecular quantum gases and liquids. The role involves developing high-performance computing (HPC) software, implementing algorithms in C++/GPU computing, and collaborating with national and international research groups and experimental teams.
Doctoral Student in Computational Physics of Many-Particle Quantum Systems, Lund University, Sweden
Designation
- Position Title: Doctoral Student (PhD Candidate)
- Employment Type: Fixed-term full-time employment (4 years, extensible up to 20% for departmental duties/teaching)
Key Information Summary
| Detail | Information |
| Institution | Lund University |
| Faculty / Department | Faculty of Engineering (LTH) / Department of Physics |
| Division | Mathematical Physics |
| Reference Number | PA2026/1984 |
| Publication Date | July 17, 2026 |
| Application Deadline | August 20, 2026 |
| Location | Lund, Sweden |
| Duration | 4 Years (Full-time) |
Research Area
- Theoretical Many-Particle Quantum Physics
- Computational Physics & High-Performance Computing (HPC)
- Ultra-cold Atomic and Molecular Quantum Gases and Liquids
- Multiconfigurational Time-Dependent Hartree (MCTDH) method for bosons and fermions
- Quantum-optical systems with polar interactions and collective excitations
Location
- City: Lund
- County: Skåne län
- Country: Sweden
Eligibility / Qualification
1. General Admission Requirements
- A second-cycle qualification (Master’s degree), or
- Completed courses comprising at least 240 ECTS credits (with at least 60 credits at the second-cycle level), or
- Substantially equivalent qualifications earned in Sweden or abroad.
2. Specific Admission Requirements
- An MSc or Master’s degree in Physics, Engineering Physics, or a closely associated field.
- At least 30 second-cycle ECTS credits relevant to physics, including a second-cycle degree project of at least 15 ECTS credits.
3. Additional Requirements
- Master’s-level coursework and thesis completed in theoretical physics.
- Prior coursework/research experience in many-particle quantum mechanics.
- Excellent knowledge and hands-on experience in HPC, with proven proficiency in C++ and GPU computing.
- Fluency in English (spoken and written).
- Strong independent problem-solving skills and ability to work effectively in a team.
4. Desirable / Preferred Qualifications
- Prior experience with the MCTDH (Multi-Configurational Time-Dependent Hartree) approach for bosons and fermions.
- Deep knowledge of modern many-particle quantum physics.
Job Description & Work Duties
- Develop, implement, and optimize C++/GPU algorithms for multi-configuration time-dependent Hartree methods.
- Conduct theoretical modeling and numerical simulations of ultra-cold polar molecules and quantum gases.
- Collaborate with experimental teams and participate in research visits with national and international partners.
- Maintain group HPC codes, ensure data safety/storage standards, and share software knowledge within the group.
- Publish scientific findings in peer-reviewed journals and present at conferences.
- Complete third-cycle PhD courses and seminars.
- Optionally participate in departmental duties or undergraduate teaching (up to a maximum of 20% of full-time work).
How to Apply
Applications must be submitted in English via the Lund University Varbi Recruitment Portal.
Required Documents:
- Cover Letter: Explaining motivation, research interests, and suitability for the position.
- Curriculum Vitae (CV).
- Certificates & Transcripts: Copies of degree certificates and grade transcripts verifying entry requirements.
- Additional Documents: Recommendation letters, contact details for references, or relevant publications/code samples.
Note: Shortlisted candidates will participate in an interview and may be asked to demonstrate programming proficiency.
Last Date to Apply
- Application Deadline: August 20, 2026







