Research Fellow - School of Computer Science - 100133

University of Birmingham

United Kingdom

September 1, 2022

Description

Research Fellow - School of Computer Science - 100133 - (220001IZ)

Description

RESEARCH FELLOW – 100133

Position Details

School of Computer Science in the College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham, UK Full time starting salary is normally in the range £31,406 to £40,927, with potential progression once in post to £43,434. PLEASE NOTE - As this vacancy has limited funding the maximum salary that can be offered is £37,467. Grade 7 Full time Fixed-term until 31 March 2026 Closing Date: 1 Sep 2022

Note to Candidates : applicants should include their CV and a list of their top 3 publications to date with a 300 words summary for each and how it can be relevant to the post advertised.

Background

The post is to conduct world-leading research in developing task and motion planning methods for autonomous robots in dynamic and uncertain environments. The successful candidate will join Intelligent Robotics Lab (IRLab) in the context of the Horizon EU CONVINCE project (CONtext-aware Verifiable and adaptIve dyNamiC dEliberation).

Summary of Role

• Work within specified research grants and projects and contribute to writing bids • Operate within area of specialism • Analyse and interpret research findings and results • Contribute to generating funding • Contribute to licensing or spin out deals with demonstrated commercial success (such as revenues, asset or company sales, IP generated) and/or public understanding of the discipline or similar

Main Duties/Responsibilities

• Develop research objectives and proposals for own or joint research, with assistance of a mentor if required • Developing fast reliable planning methods for prediction via simulation • Developing active planning and plan refinement methods for root cause analysis of execution failure. • Implementation of a tool for combining task and motion planning with plan refinement in dynamic environments. • Integrating developed planning tools with the overall project toolchain for use cases including robot vacuum cleaner, assembly robot, robotic museum guide • Contributing to writing the deliverables for the project • Publishing research outputs in world-class conferences and journals • Participating in project and integration meetings • Contributing to supervising or collaborating with other team members and students • Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters • Deal with problems that may affect the achievement of research objectives and deadlines • Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.

Person Specification

• PhD (or a finalised defence date) in computer science, robotics or any related fields, or equivalent qualifications/experience • Proficient in several programming languages including Python, C++ • Ability to realise developed algorithms in real robots • Excellent communication skills in written and spoken English • Knowledgeable in broad AI techniques including but not limited to task and motion planning, verification, and machine learning. • Proven strong publication track record in different forms of robot planning methods, e.g., conferences like IJCAI, AAAI, ICAPS, IROS, ICRA, RSS • Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day-to-day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquiries can be made to Dr Iran Mansouri (m.mansouri@bham.ac.uk).

Valuing excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.

Primary Location

: GB-GB-Birmingham

Job

: Academic Non-clinical

Organization

: Computer Science

Schedule

: Temporary

Full-time

Job Posting

: 02.08.2022, 6:00:00 AM

Grade (for job description): Grade 7

Salary (Pay Basis)

: 31,406.00

Maximum Salary

: 37,467.00

Advert Close Date

: 02.09.2022, 5:59:00 AM

Fixed Term Contract End Date 31.03.2026

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