The University of Southampton

PhD Positions in Machine Intelligence

We have a number of funded PhD positions every year in the areas falling under Machine Intelligence. These PhD positions are suitable for high quality and ambitious students looking to learn about and develop the next generation of machine intelligence applications. We strongly promote an entrepreneurial spirit among our students and encourage collaborative research. This has led to a number of our students creating their own startup or  joining top research companies such as Microsoft Research, Google, Spotify, as well as pursuing further postdoctoral research at Southampton and other Tech focused universities in the UK and abroad.

Current Opportunities

You can find a list of specific PhD positions available below. Some of these may come with full/part funding. Click on the titles for more details and links to the application process.

Centre for Doctoral Training in Machine Intelligence for Nano-Electronic Devices (2019 intake)
Salary:   £18,009
Closing Date:  23rd April  2019
Description: The University of Southampton are offering a unique 4 year PhD training programme.  We are well placed in the area of Machine Intelligence and Nano-Electronic Devices and Systems due to our experienced academic staff and facilities provided.  Applicants are asked to write a 2,000 word proposal based on the topic list provided. Please read through the sections below for detailed application requirements.  The MINDS CDT is strongly committed to an enviroment that supports and encourages under-representated groups, promotes an inclusive culture and value diversity. Click on the title link above to find out more on how to apply.


PhD Topics

PhD research projects will need to fall under the general area of Machine Intelligence. This includes the following specific topics and subtopics:

  • Artificial intelligence (incl. intelligent agents, computer vision, optimisation, computational biology, etc…)
  • Autonomous systems (incl. robotics, unmanned vehicle coordination,  swarm robotics, human-robot interaction, etc..)
  • Machine Learning (incl. deep learning, bayesian machine learning, crowdsourcing, etc..)
  • Infrastructures for AI (incl. IoT data sharing, distributed analytics) 

The PhD positions will be affiliated with the Centre for Machine Intelligence which brings together a community of researchers and practitioners across the university (including Computer Science, Engineering, Electronics, and Power Systems). Students supervised by at least 2 academics coming from groups across the Department of Electronics and Computer Science and potentially from other departments within the Faculty of Physical Sciences and Engineering in the case of multi-disciplinary projects.

You will be encouraged to collaborate with peers in the department and within their groups and develop a wide range of skills including project management, mentoring of interns, and presentation skills. They will also be expected to present their work at major international conferences and participate in events linked to the newly formed Centre for Machine Intelligence at Southampton.

Funding Eligibility

Fully funded (fees and stipend):

  • UK nationals with strong 2:1 or First Class degree.
  •  EU candidates having spent the last three years in the UKwith strong 2:1 or First Class degree.
  •  EU and international candidates with very strong 2:1 or First class Undergraduate or Postgraduate degrees may be eligible for part or full scholarships (please contact us to find out more).

 We also have a range of Industry funded studentships from several major international companies and eligibility for these will depend on the quality of the applicant and funding available at the time of application.

 As an Athena SWAN Award holder the department is committed to ensure equal opportunities and we encourage gender balance and diversity in both the workplace and amongst our students.

For more information please get in touch with us at details on how to apply for these positions. Please include:

  • A CV and cover letter explaining your interests and background.
  • A short description of the key research topics you'd be interested in (e.g., topics such as deep learning, multi-agent systems,  or application areas such as smart grids, smart healthcare etc...)
  • Whether you require funding or have your own sources of finance.