Overview
Join to apply for the Research Associate in Reinforcement Learning role at University of Bath.
About The Role
Shipping currently produces greenhouse gas emissions on par with aviation, and significant efforts are underway to reduce its environmental impact. One promising approach is Wind-Assisted Propulsion, which decreases the thrust required from propellers and, consequently, the load on internal combustion engines. However, the optimal control of these propulsion systems remains an open challenge. This project builds on our preliminary work using reinforcement learning to develop control strategies and aims to develop an advanced controller based on reinforcement learning that will optimise operation, aligned with financial and operational incentives.
The Ideal Candidate Will Have
* A PhD in Computer Science or a related field
* Experience in developing and evaluating reinforcement learning systems
* Excellent coding skills
* Strong analytical and problem solving skills
* Excellent communication skills
Further information
For an informal discussion about the role please contact Özgür Simsek (os435@bath.ac.uk) or Nathan Sell (nps22@bath.ac.uk).
Applications should include a full CV and writing samples.
What We Can Offer You
* Free counselling services through Health Assured
* Cycle to work scheme
* Electric vehicle salary sacrifice scheme
* Staff discount at Team Bath gym
* Staff discounts on postgraduate tuition fees
* Staff discount on language courses
* Generous employer contributory pension schemes
* Generous annual leave allowance with an additional 5 discretionary days
* A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
* Free entry to the Holburne Museum in Bath
* Local discounts and more
* A family-friendly workplace
* An excellent reward package that recognises the talents of our diverse workforce
* Relocation allowance
* Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
Right To Work In The UK
We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting
We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.
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