Post Doctoral Fellow, Computer Science


10 Oct 2023
Job Information

Research Field
Computer science
Researcher Profile
Recognised Researcher (R2)
First Stage Researcher (R1)
United Arab Emirates
Application Deadline
8 Nov 2023 – 00:00 (UTC)
Type of Contract
Job Status
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

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.
  • Solid programming skills
  • 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


Candidate Profile

Essential Criteria

  • PhD from a reputable university in Computer Science & Engineering or related discipline.
  • Experience writing scientific or review papers;
  • A willingness to contribute to a collaborative and supportive team culture
  • Excellent English language communication skills (verbal and written)
  • Ability to work both independently and as part of a team
  • The proven ability to work on multiple tasks with competing demands and deadlines.
  • Ability to train and mentor students and support fellow researchers
  • Highly developed reasoning and problem-solving skills

Desired Criteria

  • PhD gained from a top 200 QS or THE ranked University
  • At least 1 or 2 (DELETE AS REQUIRED) years of relevant experience as a Post-doctoral researcher in academia or in industry.
  • High impact first-author publications in top 10% journals in the relevant field

 Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ([email protected] ).

Primary Location: Abu Dhabi UAE
Job: Post Doctoral Fellow
Schedule: Regular
Shift: Standard
Job Type: Full-time
Job Level: Day Job

Additional Information
Work Location(s)

Number of offers available
United Arab Emirates
Abu Dhabi, United Arab Emirates

Where to apply



Abu Dhabi, United Arab Emirates


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