Postdoc in High-Performance Data Management and AI

Postdoc In High-Performance Data Management And AI

KTH is seeking a postdoctoral researcher in high-performance data management and artificial intelligence, who will also play a central role in the management of Plasma-PEPSC 2. The project is a European Centre of Excellence in high-performance computing and plasma physics, funded by EuroHPC and coordinated by KTH. It brings together leading European universities, research institutes, and supercomputing centres to advance plasma simulations on Europe's most powerful supercomputers.

The successful candidate will conduct research on scalable methods for managing and analysing large datasets generated by scientific simulations. The work includes efficient data workflows, parallel I/O, data analytics, and the integration of AI methods with the Plasma-PEPSC 2 simulation codes. The research will be carried out in close collaboration with international experts in HPC, AI, and computational plasma physics.

The candidate will also take a central role as project manager of Plasma-PEPSC 2, supporting the scientific and administrative coordination of the project. Responsibilities include planning and monitoring project activities, coordinating international partners, reporting to the funding agency, and organising project meetings and collaborative activities.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree in computer science, computational science, applied mathematics, or a closely related field. This eligibility requirement must be met no later than the time the employment decision is made.
• Documented research expertise in high-performance computing, data management, or a relevant research area.
• Documented experience in managing EU-funded research projects, including partner coordination, monitoring of project activities, and reporting.
• Good programming skills and experience in scientific computing.
• Excellent written and spoken English, as the position involves extensive collaboration and reporting within an international European consortium.
• Strong collaborative, independent working, and organisational skills, together with awareness of diversity, equal opportunities, and gender equality.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Experience in data management on HPC systems, including parallel I/O, data analytics, data compression, or large-scale scientific datasets.
• Experience in AI and machine learning for scientific applications, particularly integration with simulation software.
• Experience in project management within Horizon Europe or EuroHPC, including technical and financial reporting.
• Experience in research data management, data management plans, and FAIR data principles.
• Teaching skills and experience in teaching, supervision, or scientific communication.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal skills.

Tagged as: Engineering, Physics