If you wish the join the group as a PhD student or a postdoc, read below about open positions and funding opportunities.
PostDoc on Representation Learning: As part of the Canon Medical/RAEng Grant, we are looking to expand the team with a postdoc working on disentangled representations, computer vision, and medical image analysis. We are particularly interested in exploring how we can combine learning better data representations with limited data and supervision to solve several tasks at the same time with multimodal inputs. This position will open soon, but interested candidates can email Prof. Tsaftaris with a CV and with a statement of interest.
PhD student on Representation Learning: As part of the Canon Medical/RAEng Grant,we are looking to expand the team with a PhD student working on disentangled representations, computer vision, and medical image analysis. We are particularly interested in exploring how we can combine learning better data representations for guiding clinical decision support systems that can predict and assess the influence of treatments considering a causal view to disentanglement. This position will open soon, but interested candidates can email Prof. Tsaftaris with a CV and with a statement of interest. Find here the minimum entry requirements by country.
PhD students for the CDT in Biomedical AI: Prof. Tsaftaris and Dr. Qin are listed supervisors for the CDT in biomedical informatics so interested students that are interested in the intersection of healthcare and AI are more than welcome to contact them with an expression of interest before application. Information to apply is here.
Alan Turing Institute: As an affiliated supervisor with the Alan Turing Institute, and a Turing Fellow, Sotos can also supervise students interested in joining this prestigious UK institution. If you want to bridge machine learning and computer vision with applications in the life and biological sciences, and you have a strong profile, see the Alan Turing Institute website on how to apply and also drop Sotos an email with a CV and description of your interests.
PhD openings with Chen: Dr. Chen Qin is looking for highly motivated PhD students to work on machine learning for medical image computing. Prospective students will have a good first degree in Computer Science, Electrical Engineering, Mathematics, Physics or other engineering-related disciplines. Please feel free to drop Chen an email if you’re interested.
General information for PhD students
- We welcome applications from outstanding and ambitious students, with the potential of becoming extraordinary scholars. We select unfortunately few of the applications that we receive, and the only selection criterion is excellence.
- Successful applicants have a very diverse background, including engineering, computer science, mathematics, physics, etc. Our research group is very diverse for gender, race, nationality, career ambition, etc. We strongly value the diversity in our group, and thus applicants from groups typically under-represented in academia are strongly encouraged to apply. Find here the minimum entry requirements by country.
- Being fluent in both spoken and written English is essential. We accept the following English language qualifications at the minimum grades specified:
- IELTS Academic: total 6.5 with at least 6.0 in each component
- TOEFL-iBT: total 92 with at least 20 in each section
- PTE Academic: total 61 with at least 56 in each of the Communicative Skills scores
- CAE and CPE: total 176 with at least 169 in each paper
- Trinity ISE: ISE II with distinctions in all four components Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, PTE Academic or Trinity ISE, in which case it must be no more than two years old.
- Making Informal Enquiries Informative: Applications [for open positions] must be submitted through the online University system. Informal enquiries (excluding questions on the application process and scholarships) can be sent by email to Prof. Tsaftaris or any of the other supervisors). Please clearly state your questions in the email and confirm that you have read this webpage. Questions on the application process and scholarships should be directed to the Postgraduate Office of the School of Engineering: EngGradOffice@ed.ac.uk. Within your enquiry, it is strongly recommended that you attach a detailed CV and the following: Details of every qualification; Academic career history; Highlight any academic success; Ranking withing your cohort (including its size); If you have published any conference or journal papers, provide links to the publication(s) and state your contribution.
- Self-funded students: We do accept students that are self-funded either via scholarship or own funds. Please do state this clearly upon any informal inquiry made.
E-Mail: S.Tsaftaris (at) ed.ac.uk
E-Mail: Chen.Qin (at) ed.ac.uk