Postdoc

We will accept incoming Ph.D. holders who have obtained their Ph.D. abroad, of non-Czech nationality, who are not residents of the Czech Republic or have not spent more than 12 months in the Czech Republic in the last 36 months,

or

Ph.D. holders of Czech nationality who have long-term experience abroad. Long-term foreign experience can be considered to be at least 12 continuous months out of the last 36 months, either in the form of doctoral studies abroad or in the form of employment at a foreign scientific institution, or in combination.

 Candidate must be no more than 5 years post PhD (career breaks, e.g. maternity/parental leave; long-term illness, are not counted). 

This is a two-round selection process in which successful candidates from the faculty/institute selection process advance to the next round at the university-wide level.

Required expertise:

Expertise in applied and computational mathematics, numerical simulations, optimisation, and mathematical modelling.

IT4Innovations National Supercomputing Centre, part of VSB – Technical University of Ostrava, is a leading research, development, and innovation centre in the fields of high-performance computing, high-performance data analytics, quantum computing, artificial intelligence, and their applications in other scientific, industrial, and societal fields. It currently operates three supercomputers – Karolina, Barbora and Barbora NG – as well as the first Czech quantum computer, VLQ.  IT4Innovations is actively involved in the European AI Factories network – it is a member of the LUMI AI Factory and coordinates the Czech AI Factory.  IT4Innovations employs more than 250 people in research, IT and administrative roles. For more information, visit www.it4i.cz.

• conducting research and publishing under the guidance of an assigned mentor,
• participating in the preparation and implementation of national or international projects,
• continuously improving his/her qualification,
• contributing to the cooperation with partner institutions.

• doctoral degree in Computer Science, Computational Mathematics, Applied Mathematics, Mathematics, or a closely related discipline,
• a maximum of 5 years after defending the PhD (not including career breaks e.g. maternity/parental leave; long-term illness),
• excellent publication track record,
• active participation in national or international projects,
• strong theoretical and practical knowledge of computer science, applied and computational mathematics, numerical methods, mathematical modeling, and optimization techniques, with demonstrated ability to design and develop efficient numerical algorithms,
• demonstrated research expertise in one or more of the following areas: artificial intelligence, machine learning, data-driven simulations, graph theory and network analysis, scheduling and resource optimisation, computational geometry, and topological analysis,
• proven ability to formulate innovative mathematical and computational models, develop efficient numerical algorithms, and apply analytical and computational methods to complex scientific and engineering problems,
• strong analytical skills in the qualitative and quantitative investigation of mathematical and computational models, including their mathematical consistency, stability, convergence, and computational efficiency, where applicable,
• experience in high-performance computing (HPC), large-scale simulations, or parallel computing is an advantage,
• active knowledge of the English language.

• work in a promising organisation,
• salary evaluation according to project conditions and the candidate's experience,
• modern laboratory,
• opportunity to participate in an excellent research team,
• possibility of further education,
• 6 weeks of holidays,
• flexible working hours,
• university kindergarten,
• company catering in the canteen,
• MultiSport card,  
• other employee benefits according to the employer's offer.

• CV,
• motivation letter,
• research proposal,
• number of publications in impacted journals according to WoS and Scopus,
• number of publications on which he/she appears as corresponding author or as 2nd or 3rd co-author,
• at least 1 letter of recommendation from a foreign institution,
• copies of proof of education.