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- Tasks: Develop advanced control strategies using reinforcement learning for eco-friendly shipping solutions.
- Company: University of Bath, a leader in innovative research and sustainability.
- Benefits: Generous leave, professional development, discounts, and a family-friendly workplace.
- Why this job: Make a real impact on reducing greenhouse gas emissions in the shipping industry.
- Qualifications: PhD in Computer Science or related field with strong coding and analytical skills.
- Other info: Join a diverse team dedicated to cutting-edge research and environmental sustainability.
The predicted salary is between 36000 - 60000 £ per year.
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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Research Associate in Reinforcement Learning employer: University of Bath
Contact Detail:
University of Bath Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Reinforcement Learning
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the University of Bath. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for the interview by diving deep into reinforcement learning concepts. Brush up on your coding skills and be ready to discuss your past projects. We want to see your passion and expertise shine through!
✨Tip Number 3
Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested and keeps you on their radar.
✨Tip Number 4
Apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Research Associate in Reinforcement Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Associate role. Highlight your PhD and any relevant experience in reinforcement learning. We want to see how your skills align with the project’s goals!
Showcase Your Coding Skills: Since coding is key for this position, include specific examples of your coding projects or systems you've developed. We love seeing practical applications of your skills, so don’t hold back!
Include Writing Samples: Don’t forget to attach writing samples that demonstrate your analytical and problem-solving abilities. This is your chance to show us how you communicate complex ideas clearly and effectively.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at University of Bath
✨Know Your Reinforcement Learning Stuff
Make sure you brush up on your reinforcement learning concepts and techniques. Be ready to discuss your previous projects, especially any that involved developing or evaluating RL systems. This will show your depth of knowledge and passion for the field.
✨Show Off Your Coding Skills
Since excellent coding skills are a must for this role, be prepared to demonstrate your programming abilities. Bring examples of your code or even be ready for a live coding challenge. Practice common algorithms and coding problems related to RL to impress your interviewers.
✨Communicate Clearly
Strong communication skills are key, so practice explaining complex concepts in simple terms. You might need to present your ideas or findings, so think about how you can convey your thoughts clearly and effectively. Remember, it’s not just what you say, but how you say it!
✨Ask Insightful Questions
Prepare some thoughtful questions about the project and the team. This shows your genuine interest in the role and helps you understand if it's the right fit for you. Ask about their current challenges with wind-assisted propulsion and how they envision the role of reinforcement learning in solving them.
