Postgraduate research opportunities Intelligent Maritime Systems: Advancements in Situational Awareness through Artificial Intelligence


Key facts

  • Opens: Monday 12 February 2024
  • Deadline: Saturday 31 August 2024
  • Number of places: 1
  • Duration: 3 years
  • Funding: Home fee, Stipend


The project aims to develop a digitalization and automation framework for marine systems, enhancing cost-effectiveness, safety, and autonomy through digital twins. Objectives include algorithm development for data extraction, minimizing computational costs. This innovative platform integrates techniques like generative AI and sensor fusion, empowering research in predictive maintenance and system health analysis in collaboration with industry partners ensuring practical validation.
Back to opportunity


Applicants should have a distinction pass at master’s level in Marine Engineering/Mechanical Engineering/Systems Engineering/Computer science/Data science/Electronics Engineering, Maritime Technology/Aerospace Engineering or a relevant area.

THE Awards 2019: UK University of the Year Winner
Back to opportunity

Project Details

Embark on a transformative PhD opportunity in marine engineering, where you will pioneer the development of cutting-edge digital tools and algorithms to enhance the perception capabilities of future intelligent marine systems. Exciting chance to elevate your expertise in data science and machine learning as you dive into the thrilling realm of applying your skills to real-life challenges in the vast oceans!

The principal aim of the project is around developing framework for digitalisation and automation of the marine systems using respective digital twins to improve costs, safety, and autonomy.

The objectives include.

  1. Development of ensemble algorithms to extract maximum amount of information collected through sensors.
  2. Minimization of computational costs ensuring trustworthiness and reliability of collected data.
  3. Validation of developed framework in real life situation within industrial environment.

This project is a unique platform for innovation. It offers the opportunity to experiment, assess, and apply cutting-edge techniques encompassing generative AI, deep learning, neuromorphic computing, and multimodal sensor fusion to achieve the specified objectives.

Student will investigate different techniques and construct algorithms to carry out efficient information extraction and analysis of the data collected through multimodal sensors to determine current state of the system. These algorithms will facilitate fault/anomaly detection leading to fast predictive maintenance of the ship machinery. A real time health analysis of the whole system can be performed with digital twins of pertaining systems embedded with developed algorithms. The innovation steer towards the digitalisation of the shipping practices leading to higher autonomy levels.

Student will engage in present and future collaborative projects with shipping companies and sensor manufacturing firms and classification societies to get industrial validation and experience.

Find your own interest and join us in developing new frameworks for situation awareness, contributing to autonomous cognition, and fostering efficient, safe, and smart shipping practices.

As a PhD researcher at Strathclyde, the student will be enrolled in the Researcher Development Programme which supports PGR students in their continued personal and professional development, with the additional opportunity of gaining a PG Certificate in Researcher Professional Development.

Further information

The Department of Naval Architecture, Ocean and Marine Engineering is a world-leader in research, whose main interests lie in: Maritime Safety, Marine Hydrodynamics, Marine Structures, Ocean Engineering, Marine Engineering, Emerging Technologies, Offshore Renewable Energy and Alternative Fuels. The Department makes a significant contribution to National, European, and international policymaking in Marine Technology research and its application.


Back to opportunity

Funding details

John Anderson Research Studentship Scheme (JARSS); Engineering and Physical Sciences Research Council - Doctoral Training Partnership (EPSRC - DTP) funding and Central University funding.

Back to opportunity


Dr Patil

Dr Chaitanya Patil

Naval Architecture, Ocean and Marine Engineering

View profile
Professor Theotokatos

Professor Gerasimos Theotokatos

Naval Architecture, Ocean and Marine Engineering

View profile
Back to course


Applications should include:

  1. Cover Letter.
  2. CV
  3. 2 references.
  4. Degree transcripts and certificates (in English), and if English is not your native language, a copy of your English language qualifications (IELTS).
  5. Research proposal

The applicants need to demonstrate excellent organisational, interpersonal, verbal and academic writing skills.

An interview will be arranged for the shortlisted applicants.

Number of places: 1

The candidate will be shortlisted based on interview.

To read how we process personal data, applicants can review our 'Privacy Notice for Student Applicants and Potential Applicants' on our Privacy notices' web page.

Naval Architecture, Ocean and Marine Engineering

Programme: Naval Architecture, Ocean and Marine Engineering

Start date: Oct 2024 - Sep 2025

Back to course

Contact us

For further details, contact Dr. Chaitanya Patil,