AutoFair project for human-compatible AI As a Ph.D. student, you will join the which we at CTU coordinate. This extensive project was supported by the Europen Commission and its mission is to address the matter of transparency and explainability of AI using approaches inspired…
AutoFair project for human-compatible AI
As a Ph.D. student, you will join the which we at CTU coordinate. This extensive project was supported by the Europen Commission and its mission is to address the matter of transparency and explainability of AI using approaches inspired by control theory. It is a part of an EC initiative toward ensuring AI development that is trustworthy and transparent.
In order to deliver AI systems with full consideration of social welfare , we are developing training algorithms that incorporate appropriate measures of aspects of social concern. Our goal is to develop training optimization algorithms with theoretical guarantees of solution quality , which also work well in practice.
Your supervisor
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, including power systems, quantum computing, and robust statistics .
You will benefit from close collaboration with other members of the AutoFair project, namely the teams of Shie Mannor ( Technion ), Robert Shorten ( Imperial ), Dimitris Gunopulos ( NKUA ), and Ioannis Emiris ( Athena RC ).
Optimization research in the AI Center
Research on the intersection of mathematics, computer science, and electrical engineering with a clear mission: find the optimal solution using advanced computational methods.
In our basic research , we focus on study extensions towards certain smooth, non-convex feasible sets and objective functions and time-varying feasible sets and objective functions .
The smooth non-convex problems, known as commutative and non-commutative polynomial optimization, have extensive applications in power systems, control theory, and machine learning , among others.
Salary and benefits
The position is fu ll-time and limited to 3 years , but can be extended in case of mutual interest.
The studentship comes with a monthly salary adjusted to approximately match the average salary in Prague, the Czech Republic (which currently stands at approximately EUR 23 000 p.a. before a notably low tax ) .
You are entitled to 6 weeks of paid vacation which you will find useful when exploring the beautiful parts of our country including a number of UNESCO landmarks.
Get excited about a travel budget for attractive conferences abroad , regular internal seminars , an unlimited supply of coffee (very appreciated).
Our labs are located on the university campus in the historical city cente r with a view of Prague Castle, so perfect transport accessibility is another obvious advantage.
The Czech capital regularly ranks among the five best Eropean cities to live in .
W hat 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.
Ondřej Lukáš
Magisterský student
It‘s interesting that there are professors known all over the world and yet they don‘t give you the feeling they are something more. They come to your presentation, take interest in your problem at the seminar and try to help you.
Ondřej Lukáš , Graduate Student (Cybersecurity group)
Requirements
How to apply
Zakládáme si na inkluzivite a diverzite. Chceme mít lidi po hromadě lidi, kteří jsou skvělí v inkrementálním výzkumu Opakem jsou moonshoty - exponenciální výzkum - namyslíte, kde může být daný problém za 10 let. Pro špičkové výsledky se snažíme kombinovat oba přístupy.
Michal Pěchouček , Ředitel
Contact us
Centrum umělé inteligence FEL ČVUT je zaměstnavatel s aktivní inzercí v Pracenadosah.cz.