*Advance Your Research Career with a PhD at the University of Bath – We Seek Exceptional Candidates!* Are you driven to tackle complex challenges in *Artificial Intelligence*, *Machine Learning*, and *Computer Vision*? The University of Bath is calling for applications from outstanding candidates eager to pursue fully funded PhD projects. Join a top-ranked university recognized for research excellence, where you’ll work at the forefront of innovation in: · Machine Learning Methods for Invariant Representations of High-dimensional Data <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-machine-learning-methods-for-invariant-representations-of-high-dimensional-data%2F%3Fp175288&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160884204%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=rlG%2Fja%2Bg6hUPMhIGeqlXjZ%2FK64p6ywYmxiiXwEwsFtg%3D&reserved=0>, with Dr. Georgios Exarchakis and Prof. Michael Tipping · Cue Representation Learning for Interpretable Video Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-cue-representation-learning-for-interpretable-video-models%2F%3Fp175406&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160910802%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=fD91wdwObMcuzVg96nLPeVTBNlYLkCmjVzZJwSfdcqc%3D&reserved=0>, with Dr. Davide Moltisanti and Dr. Vinay Namboodiri · Energy-efficient and Affordable Training of Large-scale Deep Learning Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-energy-efficient-and-affordable-training-of-large-scale-deep-learning-models%2F%3Fp175755&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160927558%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=9%2BIGKrQw4YdJqbaR8A4ajsXp%2B7RczRpuo5PHKTeCX5E%3D&reserved=0>, with Dr. Rohit Babbar and Dr. Vinay Namboodiri · Learning with Limited Data for Unlearning in Large Multimodal Models <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-learning-with-limited-data-for-unlearning-in-large-multimodal-models%2F%3Fp175408&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160941645%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=epyxyISI7xD7dZ1KXMN1mbDeXV7CRVLcDqi7OALOdB8%3D&reserved=0>, with Dr. Da Chen, Dr. Vinay Namboodiri · Mathematically and Intuitively Understandable Deep Learning <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-mathematically-and-intuitively-understandable-deep-learning%2F%3Fp175294&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160957257%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=lGhmBMJ%2FanCTDJMIodYlmby7%2BjSMVd3FWxLwB656uhw%3D&reserved=0>, with Dr. Mingzhi Dong and Prof. Michael Yang · 3D Scene Synthesis Using Diffusion Models and Large Language Models in Multimodal Generative AI <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-3d-scene-synthesis-using-diffusion-models-and-large-language-models-in-multimodal-generative-ai%2F%3Fp175286&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160970866%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=IDG5ExTD9mzsA9zHhns%2B4oJ9QluoZWIS4vqABgYO4k8%3D&reserved=0>, with Prof. Michael Yang and Dr. Mingzhi Dong · Exploring visual arts with computer vision <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fphds%2Fproject%2Ffaculty-of-science-ursa-phd-project-exploring-visual-arts-with-computer-vision%2F%3Fp176169&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792160983433%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=%2F1KvJZ1Xi5QRIXBBg4YEL4g8gCKekGP3A6ZyyPMpPO8%3D&reserved=0>, with Dr. Deblina Bhattacharjee and Prof. Peter Hall · Probabilistic Decision Dynamics in Machine Learning <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-probabilistic-decision-dynamics-in-machine-learning/?p176720>, with Prof. Michael Tipping and Prof. Özgür Şimşek *Why Join Bath? - Pursue Excellence* – We’re University of the Year 2023 (Sunday Times) and consistently ranked among the UK's best for research and student experience. *Collaborate Across Disciplines* – Work within our EPSRC-funded CAMERA Centre and partner with industry leaders like Microsoft, NVIDIA, and Adobe. *Outstanding Location* – Study in Bath, a city of rich cultural heritage, balancing academic excellence with quality of life. We seek *highly motivated, excellent candidates* with a passion for transformative research. If you’re ready to make a meaningful impact and contribute to some of the most exciting fields in AI, apply now and help shape the future with us at Bath! Discover more and apply: University of Bath PhD Opportunities *Enquiries and Applications:* Informal enquiries are encouraged and should be directed to supervisor Dr. Georgios Exarchakis, <https://researchportal.bath.ac.uk/en/persons/georgios-exarchakis> ge394@bath.ac.uk Formal applications should be submitted via the University of Bath’s online application form <https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUCM-FP01&code2=0019> for a PhD in Computer Science prior to the closing date of this advert. *IMPORTANT:* When completing the application form: 1. In the *Funding your studies* section, select ‘University of Bath URSA’ as the studentship for which you are applying. 2. In the *Your PhD project* section, quote the project title of this project and the name of the lead supervisor in the appropriate boxes. *Failure to complete these two steps will cause delays in processing your application and may cause you to miss the deadline.* More information about applying for a PhD at Bath may be found on our website <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.findaphd.com%2Fcommon%2FclickCount.aspx%3Ftheid%3D175755%26type%3D184%26DID%3D76%26url%3Dhttp%253A%252F%252Fwww.bath.ac.uk%252Fguides%252Fhow-to-apply-for-doctoral-study%252F&data=05%7C02%7Cge394%40bath.ac.uk%7C3c96ae81ec8a4267d79e08dcfa9b4f25%7C377e3d224ea1422db0ad8fcc89406b9e%7C0%7C0%7C638660792161009118%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=jAzINIf5RvSkDg77cJHqr%2FnKzaXrXm1boM7dIb%2FUvYY%3D&reserved=0>. *Equality, Diversity and Inclusion:* We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups. If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement. *Funding Notes* Candidates may be considered for a University of Bath studentship tenable for 3.5 years. Funding covers tuition fees, a stipend (£19,237 p/a in 2024/5) and access to a training support budget.