PhD Studentship: Advanced Machine Learning: The University of Hertfordshire is offering a fully-funded PhD studentship in the field of Control Engineering, focusing on the application of advanced Machine Learning (ML) techniques to enhance the performance and robustness of adaptive control systems. This three-year, full-time position is open to UK, EU, and international students, starting in July 2024.
PhD Studentship: Enhancing Adaptive Control System Performance using Advanced Machine Learning Techniques
Summary Table
| Designation | PhD Studentship |
|---|---|
| Research Area | Control Engineering and Machine Learning |
| Location | College Lane, Hatfield, University of Hertfordshire |
| Eligibility/Qualification | First or upper second-class degree and a Master’s degree in a relevant discipline |
| Job Description | Research on ML techniques for control systems, including theoretical and statistical analysis |
| How to Apply | Submit application form, research proposal, academic references, qualification certificates, and English proficiency certificate to the Doctoral College |
| Last Date for Apply | 10 June 2024 |
Designation
PhD Studentship
Research Area
Control Engineering and Machine Learning
Location
College Lane, Hatfield, University of Hertfordshire, United Kingdom
Eligibility/Qualification
- Degree: First or upper second-class degree (or equivalent) in engineering, mathematics, computer science, or a related discipline.
- Master’s Degree: Essential.
- Skills: Strong analytical and programming skills, preferably with experience in MATLAB or Python.
- Additional: Practical engineering skills and experimental experience are highly valued. Proficiency in English (minimum IELTS 6.5 or equivalent) for non-native speakers.
Job Description
This PhD project will involve a comprehensive analysis of state-of-the-art ML techniques such as DDPG, PPO, and TD3 in the context of control systems. The candidate will be expected to:
- Examine the performance, stability, and robustness of these ML algorithms.
- Develop novel ML solutions that outperform traditional adaptive control methods.
- Conduct rigorous theoretical and statistical analysis to validate the proposed techniques.
How to Apply
Interested candidates should:
- Download and complete the application form from the University of Hertfordshire’s Doctoral College.
- Submit the following documents:
- A research proposal (maximum 2 pages) addressing the stated problem.
- Two academic references.
- Copies of qualification certificates and transcripts.
- Certification of English language competence (minimum IELTS 6.5 or equivalent) if applicable.
- Email the completed application and supporting documents to the Doctoral College.
Last Date for Apply
10 June 2024
For informal enquiries, contact Dr. Pouria Sarhadi (project supervisor) or Prof. Pandelis Kourtessis (Associate Dean of Research and Enterprise). Interviews will be held during the week commencing 17 June 2024, with an expected start date of 1 July 2024.
