PhD stipend in Safe machine learning – Aalborg University, Denmark

    PhD stipend in Safe machine learning - Aalborg University, Denmark

    PhD stipend in Safe machine learning is available within the general study programme Electrical and Electronic Engineering, at the Technical Faculty of IT and Design, Department of Electronic Systems, Aalborg University, Denmark


    Deadline to Apply

    June 20, 2021 (23: 59 GMT +1)


    Overview

    PositionPhD Position
    No. of Position(s)1
    Research AreaSafe machine learning
    ScholarshipAccording to standard norms
    WorkplaceTechnical Faculty of IT and Design
    Department of Electronic Systems
    Aalborg University
    Denmark
    Contract Period3 Years
    Starting dateAug 01, 2021

    Qualifications

    PhD stipends are allocated to individuals who hold a Master’s degree

    Responsibilities

    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.

    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.

    How to Apply?

    The application is only to be submitted online by using the “Apply online” button above

    Documents Required

    • A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
    • A current curriculum vitae.
    • Copies of relevant diplomas (Master of Science). On request you could be asked for an official English translation.
    • Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
    • Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
    • Additional qualifications in relation to the position. References/recommendations.
    • Personal data.

    About the project/department

    Swift Project
    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.

    Note

    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.

    Inquiries

    Professor Rafal Wisniewski, Department of Electronic Systems
    Email: raf@es.aau.dk

    Ms. Lisbeth Diinhoff
    The Doctoral School at The Technical Faculty of IT and Design
    Email: ld@adm.aau.dk
    Phone: +45 9940 9589

    Official advertisement

    PHD STIPEND IN SAFE MACHINE LEARNING (8-21031)

    Post expires at 8:59am on Monday June 21st, 2021 (GMT+9)