Post Doctoral Fellow - dubai - KHALIFA UNIVERSITY

    KHALIFA UNIVERSITY
    KHALIFA UNIVERSITY dubai

    1 week ago

    Description
    Organisation/Company KHALIFA UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2)

    First Stage Researcher (R1) Country United Arab Emirates Application Deadline 28 Feb :00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
    Offer Description
    Position Overview

    KU is seeking a highly motivated Post-doctoral Fellow to work on performing cutting-edge research in autonomous vehicles (AVs) with background in Theoretical Computer Science.


    The funded project includes two objectives:
    (O1) explore a class of novel, practically driven generalizations of classical routing and planning problems, such as TSP and UFP, with application to navigation and mission planning of autonomous vehicles. One such problem is the TSP problem with drones and legged robots for last‑mile logistics applications or environmental surveillance. In tackling these new problems, we seek to devise efficient routing algorithms with certifiable worst‑case performance guarantees. (O2) Developing a theoretical framework to synthesize multi‑agent controllers and coordination schemes that are robust against nondeterminism due to parameter uncertainty and disturbances. In view of real‑world nuances and sensing errors, we aim at developing robust planning and scheduling algorithms that tolerate noisy parameters. To ensure timely and high‑grade decision‑making, we seek to design polynomial‑time approximation algorithms that offer formal definite bounds on sub‑optimality or probably approximately correct (PAC)-style guarantees.

    As part of the project, the researcher will have access to state-of-the-art research equipment and facilities at the Autonomous Vehicles Lab and will get an opportunity to work alongside researchers and graduate students from various backgrounds as part of a wider team.

    Position Requirements
    Technical hands on experience and knowledge in the field of interest, optimization and some background in robust optimization.

    Optional:
    background in Machine learning


    Optional:
    background in robotics

    Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
    Perform any other tasks assigned by the Line Manager
    Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ).
    #J-18808-Ljbffr

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