Full-time
Join the CoDiet project and kickstart your research career.
We seek a Ph.D. student with a background in computer science, statistics, or applied mathematics to work on an exciting Horizon Europe project CoDiet. Depending on your interests, you could focus on the estimation of piece-wise linear systems, operator-valued optimization techniques, or questions of sample complexity.
Supervision
You will work on a project which is coordinated by Jakub Mareček, Ph.D. who has worked in two start-ups, IBM Research Ireland, and at the University of California LA, the University of Edinburgh, and the University of Toronto. As the Head of the Optimization group in the AI Center, he designs and analyses algorithms for optimization and control problems across a range of application domains. You will be co-supervised by Vladimír Havlena, professor emeritus at CTU and formerly a fellow at Honeywell HBT Architecture & Innovation, or one of the post-docs closely working with Jakub in the Optimization team at CTU's AI Center.
Jakub Mareček, Head of the optimization research group at AIC FEE CTU, joined our center after a successful research career in the industry.
Expectations
The three PhD students who recently worked with Jakub as their supervisor have published their research in leading journals in applied mathematics (optimization and control) and have secured academic positions in Ireland, Germany, and Italy. See:
- Ramen Ghosh: arXiv:2007.16117, arXiv:2110.03001 (Automatica), arXiv:2104.14858, arXiv:2112.06767 (Automatica), arXiv:2209.01410, arXiv:2209.13273 (IJC), arXiv:2211.14661
- Antonio Bellon: arXiv:2210.08387 (SIOPT), arXiv:2104.05445 (MOR), arXiv:2211.02939
- Quan Zhou: arXiv:2002.01444 (IEEE TAC), arXiv:2006.07315 (AAAI), arXiv:2106.02702, arXiv:2206.06299, arXiv:2209.01410, arXiv:2209.05274 (JAIR), arXiv:2310.11407
About the CoDiet project
The CoDiet project will trial new diet-monitoring technologies to improve our understanding of the relationship between the food we eat and common non-communicable diseases (NCD) such as heart disease, diabetes and obesity. The project will build upon this enhanced understanding to develop artificial intelligence tools to deliver personalised nutritional advice aimed at preventing these diseases, creating a healthier society for all.
Salary and benefits
The position is generously funded by the European Commission within a Horizon Europe project codiet.eu. We can offer a studentship of 45 000 CZK monthly brutto, with opportunities to travel to meet collaborators at the Technion, Imperial College London, and other leading institutions. You are entitled to 6 weeks of paid vacation.
Also, get excited for traveling to attractive conferences abroad, regular internal seminars, an unlimited supply of coffee (very appreciated) and meal vouchers. Our labs are located on the university campus in the historical city center at Karlovo náměstí, so perfect transport accessibility is another obvious advantage.
What we appreciate the most about our research center is its inspirational and supportive environment. We love to cooperate across teams and benefit from our diverse research network.
Requirements
- Master's degree in Computer Science, Mathematics, Statistics, or related disciplines.
- A preference is given to candidates with experience in programming.
How to apply
Please, apply via this form. Do not forget to include your structured CV.
In case of any questions you may contact Hana Perglerová perglha1@fel.cvut.cz.
