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Stefano Markidis

Top university

1 year ago

Doctoral student in High-Performance Computing KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 2, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Machine Learning
Molecular Dynamics
Numerical Analysis
Fluid Mechanics
Plasma Physics
Software Engineering
Computational Science
Parallel Computing
Quantum Computing
High Performance Computing
Accelerator Physics
Gpu Computing
Physics

About this position

This PhD position at KTH Royal Institute of Technology is focused on high-performance computing within the third-cycle subject of Computer Science. The research centers on performance analysis, development, and optimization of scientific simulation codes, with applications spanning plasma physics, computational fluid dynamics, and molecular dynamics. The work targets large-scale computational systems equipped with GPUs and other accelerators, and explores advanced topics such as mixed-precision numerical methods, integration of machine learning into computational workflows, and coupling quantum computing with high-performance computing for scientific applications. The successful candidate will join a dynamic and international research environment, collaborating with industry partners and leading universities worldwide. KTH offers a supportive workplace with employee benefits, a monthly salary according to the doctoral student salary agreement, and guidance for relocating to Stockholm, Sweden. The institution emphasizes equality, diversity, and a positive study environment. Admission requirements include a second cycle degree (typically a master's), or equivalent academic credits, and English proficiency at the level of English B/6. Selection criteria focus on personal skills such as goal orientation, perseverance, independence, collaboration, professionalism, and analytical ability. The position is full-time, temporary, and intended for up to four years, with possible renewal periods. Applications must be submitted via KTH's recruitment system and include a CV, academic transcripts, language certificates, certified translations if necessary, and representative publications. The application deadline is November 2, 2025. For further information, Professor Stefano Markidis is the proposed supervisor and can be contacted at [email protected]. KTH is committed to advancing education, research, and innovation for a sustainable society, and offers an attractive environment for personal and professional growth.

Funding details

Available

What's required

Applicants must have a second cycle degree (e.g., master's degree) or have completed at least 240 higher education credits, with at least 60 at the second-cycle level, or possess substantially equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Candidates should be goal-oriented, persevering, able to work independently and collaboratively, have a professional approach, and be able to analyze and work with complex issues. Applications must include a CV, diplomas and grades, certificates of language proficiency, certified translations if necessary, and representative publications or technical reports.

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Professors

Professor at KTH Royal Institute of Technology

University Name
Country flag

Sweden

Research Interests

Fluid Mechanics

Quantum Computing

Computer Science

Accelerator Physics

Physics