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    <p><b>Advance Your Research Career with a PhD at the University of
        Bath – We Seek Exceptional Candidates!</b><br>
      Are you driven to tackle complex challenges in <b>Artificial
        Intelligence</b>, <b>Machine Learning</b>, and <b>Computer
        Vision</b>? 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:<br>
      ·         <a
href="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">Machine
        Learning Methods for Invariant Representations of
        High-dimensional Data</a>, with Dr. Georgios Exarchakis and
      Prof. Michael Tipping<br>
      ·         <a
href="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">Cue
        Representation Learning for Interpretable Video Models</a>, with
      Dr. Davide Moltisanti and Dr. Vinay Namboodiri<br>
      ·         <a
href="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"
        moz-do-not-send="true">Energy-efficient and Affordable Training
        of Large-scale Deep Learning Models</a>, with Dr. Rohit Babbar
      and Dr. Vinay Namboodiri<br>
      ·         <a
href="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"
        moz-do-not-send="true">Learning with Limited Data for Unlearning
        in Large Multimodal Models</a>, with Dr. Da Chen, Dr. Vinay
      Namboodiri<br>
      ·         <a
href="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"
        moz-do-not-send="true">Mathematically and Intuitively
        Understandable Deep Learning</a>, with Dr. Mingzhi Dong and
      Prof. Michael Yang<br>
      ·         <a
href="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"
        moz-do-not-send="true">3D Scene Synthesis Using Diffusion Models
        and Large Language Models in Multimodal Generative AI</a>, with
      Prof. Michael Yang and Dr. Mingzhi Dong<br>
      ·         <a
href="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"
        moz-do-not-send="true">Exploring visual arts with computer
        vision</a>, with Dr. Deblina Bhattacharjee and Prof. Peter Hall<br>
      ·         <a
href="https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-probabilistic-decision-dynamics-in-machine-learning/?p176720"
        moz-do-not-send="true">Probabilistic Decision Dynamics in
        Machine Learning</a>, with Prof. Michael Tipping and Prof. Özgür
      Şimşek<br>
      <b>Why Join Bath? - Pursue Excellence</b> – We’re University of
      the Year 2023 (Sunday Times) and consistently ranked among the
      UK's best for research and student experience.<br>
      <b>Collaborate Across Disciplines</b> – Work within our
      EPSRC-funded CAMERA Centre and partner with industry leaders like
      Microsoft, NVIDIA, and Adobe.<br>
      <b>Outstanding Location</b> – Study in Bath, a city of rich
      cultural heritage, balancing academic excellence with quality of
      life.<br>
      ‍<br>
      We seek <b>highly motivated, excellent candidates</b> 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!<br>
      ‍<br>
      Discover more and apply: University of Bath PhD Opportunities<br>
      ‍<br>
      <b>Enquiries and Applications:</b><br>
      Informal enquiries are encouraged and should be directed to
      supervisor <a
href="https://researchportal.bath.ac.uk/en/persons/georgios-exarchakis">Dr.
        Georgios Exarchakis,</a> <a href="mailto:ge394@bath.ac.uk"
        class="moz-txt-link-freetext">ge394@bath.ac.uk</a><br>
      Formal applications should be submitted via <a
href="https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUCM-FP01&code2=0019">the
        University of Bath’s online application form</a> for a PhD in
      Computer Science prior to the closing date of this advert.<br>
      ‍<br>
      <b>IMPORTANT:</b><br>
      When completing the application form:<br>
      1.      In the <b>Funding your studies</b> section, select
      ‘University of Bath URSA’ as the studentship for which you are
      applying.<br>
      2.      In the <b>Your PhD project</b> section, quote the project
      title of this project and the name of the lead supervisor in the
      appropriate boxes.<br>
      <b>Failure to complete these two steps will cause delays in
        processing your application and may cause you to miss the
        deadline.</b><br>
      More information about applying for a PhD at Bath may be found on
      our <a
href="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">website</a>.<br>
      ‍<br>
      <b>Equality, Diversity and Inclusion:</b><br>
      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.<br>
      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.<br>
      ‍<br>
      <b>Funding Notes</b><br>
      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.<br>
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