Research Assistant/Research Associate in Logistics Optimisation (fixed-term role)

We invite applications for a Researcher to work on a logistics optimisation project funded by EPSRC and led by Dr Jie Zhang, based in the Artificial Intelligence and Machine Learning research group in the Department of Computer Science.

The project aims to study an uncertain logistics network that optimises total efficiency while satisfying uncertain constraints. You will build up logistics and transportation models, design efficient algorithms, and contribute to the analysis of algorithms, mathematical proofs, and evaluation.

The group has a strong focus on modelling, constructing, evaluating, and understanding complete systems. Working as part of an interdisciplinary academic team you will be expected to:

• Have a good knowledge of the logistics, supply chain, and transportation sectors;
• Provide mathematical and computer science expertise to design, implement, deploy, maintain, and evaluate algorithms;
• Write and publish academic papers, technical reports, and project deliverables;
• Have a PhD in computer science, mathematics, operations research, or equivalent professional qualifications and experience.

About us:

The Department of Computer Science was ranked 5th in the UK in the Times and The Sunday Times Good University Guide 2020. The department is home to around 40 academic members of staff and consists of four research groups: Artificial intelligence and machine learning, Mathematical foundations of computation, Human-computer interaction, and Visual computing. 98% of Computer Science research is rated as world-leading or internationally excellent (REF 2021). The department hosts a range of state-of-the-art facilities, and the Centre for Mathematics and Algorithms for Data is an established interdisciplinary centre operating between Computer Science and Maths looking at theoretical foundations of Data Science, Machine Learning, and other disciplines.

Further information:

Candidates wishing to be appointed at Research Associate level should have been awarded their PhD, or be closed to submission.

This is a fixed-term role until January 2024

For an informal discussion about the role please contact Dr Jie Zhang (jz2558@bath.ac.uk), however, please submit your application via the University website.

What we can offer you:

• a very generous employer contributory pension scheme
• generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
• we are a family-friendly University and with an increasingly agile workforce, are open to flexible working arrangements
• an excellent reward package that recognises the talents of our diverse workforce
• a wide range of personal and professional development opportunities
• a number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for: Relocation allowance, Visa Reimbursement, Interest-Free Loan.

We aim to be an inclusive university, where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams.

We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.

Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.