At the Technical Faculty of IT and Design, Department of Electronic Systems, a PhD stipend in Safe machine learning is available within the general study programme Electrical and Electronic Engineering. The stipend is open for appointment from August 1, 2020, or soon as possible thereafter.
Machine learning forges its way into many spheres of human activity from education, medical and legal supporting systems to autonomous vehicles. It is capable of classifying objects, trends, and patterns in a huge amount of data. Nonetheless, the control and monitoring solutions for critical infrastructures stay reluctant to this new trend due to high safety standards. To this end, we propose to merge stochastic safety with reinforcement learning. The learning intrinsically makes use of trials and exploration of new situations. Nonetheless, these new unknown situations may become unsafe points with no return.
The position is a part of Swift Project gathering doctoral and postdoctoral researchers around the subject of machine learning, multi-objective optimization, safety, security and privacy preserving algorithms.
We will develop the theory of safety focusing on mathematical characterizations and numerical approximation methods for the associated safety function and safety measure. Specifically, we will identify the set of initial states from which the probability of reaching an unsafe region (before reaching the desired target) is small enough.
We will consider model-driven optimal control based on dynamic programming. We will introduce stochastic barrier certificates in dynamic programming. This work will pave the way for solutions in data-driven optimization methods. We will use these results for safe dynamic programming to equip Reinforcement Learning with a barrier certificate.
We will verify the applicability of the theoretical results derived in a newly built water network laboratory at Aalborg University, https://vbn.aau.dk/da/equipments/smart-water-infrastructures-laboratory-swil
You may obtain further information from Professor Rafal Wisniewski, Department of Electronic Systems, email: firstname.lastname@example.org , concerning the scientific aspects of the stipend.
PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.
Shortlisting will be applied. This means that subsequent to the deadline for applications the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.
For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff , The Doctoral School at The Technical Faculty of IT and Design, email: email@example.com , phone: +45 9940 9589.
For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk
The application is only to be submitted online by using the “Apply online” button below.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 28 June 2019 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.