Decision-Making for Autonomous Systems (Ref: AAE-CL-2601)

About the Project

This project explores a new framework of High-Level Autonomous DecisionMaking, which is based on model predictive control (MPC) and Markov decision process (MDP). By embedding dynamic states, decision intentions, constraints, and environmental context directly into the decision-making process, autonomous agent can adapt to unforeseen scenarios, and make safe, optimal decisions in real time.

We encourage and will provide support to candidates in pursuing government funding (such as CSC) to sponsor their studies. Please note that strict deadlines apply for such funding opportunities.

To apply, please send your CV to Dr Chengyuan Liu (c.liu10@lboro.ac.uk) for more information.

Name of primary supervisor/CDT lead:
Chengyuan Liu c.liu10@lboro.ac.uk

Entry requirements:
A minimum of an upper-class honours degree (2:1) or overseas equivalent in relevant subject, such as automation, control engineering, computer science, mathematics, or robotics.

English language requirements:
Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/).

Bench fees required: No

Closing date of advert: 1st July 2026

Start date: October 2026

Full-time/part-time availability: Full-time 3 years

Fee band: 2025/26 Band RB (UK £5,006, International £28,600)

How to Apply:

• Stage 1: You are strongly advised to contact Chengyuan Liu in the first instance on (c.liu10@lboro.ac.uk) with a CV, academic transcripts, a reference letter, and confirmation of funding source. Informal discussions are also welcome.
• Stage 2: Following discussion with Chengyuan Liu, applicants will be invited to make a formal application at online. Under programme name, select ‘Aeronautical and Automotive Engineering’ and quote the advert reference number AAE-CL-2601 in your application.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents. The following selection criteria will be used by academic schools to help them make a decision on your application.

Project search terms:
applied mathematics, automotive engineering, control systems, decision making; robotics; autonomous.

Email Address AACME:
aacme.pgr@mailbox.lboro.ac.uk