One of the biggest misconceptions about doctoral research is that every postgraduate researcher arrives with a fully formed research proposal and a clear plan for the next four years. In reality, the process is often much simpler: a question might spark your curiosity, or you see an opportunity to address a problem you've encountered in your career or improve the way something works.

That initial wondering is enough.

SustAI has been designed around this idea that meaningful research almost always evolves. We encourage postgraduate researchers to explore, challenge, refine and strengthen their ideas over time, ensuring they develop research that is both academically rigorous and genuinely relevant to the world around them.

We follow the University of Southampton's integrated PhD framework, where the first year combines taught modules with a mini research project before postgraduate researchers move into their doctoral research. Training continues throughout the programme, allowing knowledge and confidence to build alongside the research itself.

This structure means postgraduate researchers are not required to commit immediately to a narrowly defined topic. Over their first year, they can deepen their technical knowledge, explore different areas of AI for sustainability and discover where their individual interests, expertise and emerging research opportunities naturally come together. By the time postgraduate researchers begin their main research project, they have developed a much richer understanding of both the questions they want to pursue and the wider context in which those questions sit.

Along the way, ideas are continually shaped through discussion. Conversations with supervisors help test early thinking. Teaching introduces new techniques and different ways of approaching complex problems. Working alongside researchers from a range of disciplines exposes postgraduate researchers to perspectives they may never have considered within their own field, often prompting entirely new lines of enquiry or strengthening existing ones.

Josh Kilcoyne's route into research shows how this works in practice. During his undergraduate degree, he became fascinated by the points where his subject met the real world, and by the challenge of simulating complicated situations. The transport network was one that had always intrigued him, precisely because it is so complex. When he saw a project advertised that combined that complexity with the chance to model it, he knew straight away it was for him. He now works with the industry partner Systra, modelling how and why people make the transport choices they do, and using that to simulate how the transport network responds to change.

As projects begin to take shape, so too do the opportunities they create. Some researchers go on to explore new approaches to renewable energy. Others investigate ways of making transport systems more efficient, reducing waste in manufacturing or protecting biodiversity through intelligent monitoring. Some focus on improving artificial intelligence itself, developing technologies that consume less energy while delivering greater performance. Although the research topics vary enormously, they all begin in much the same way: with a question that someone cared about enough to investigate properly.

If you’re considering applying for a PhD with SustAI, you don't need to have every answer before you apply or need to know exactly where your research will end up. What matters is that you have a genuine interest in exploring an important question and the willingness to engage with the process of discovery.

We provide the time, expertise and environment to help your early ideas mature into doctoral research. The destination may not be fully visible at the outset, but that's precisely what research is for: discovering where a good question can lead.