Research Opportunities

PhD Position: Towards developing novel actuation method of soft robotic devices towards medical applications - Link

 Funded PhD position

PhD Position: Towards robotic 2D-IR spectroscopy for biomolecular fingerprinting of cancer - Link

Self-funded

PhD Position: Bio-photonic and molecular characterization of gastric cancer tissue to improve early diagnosis - Link 

Self-funded

Projects advertised to students: Nov 2023 

Central scoring and shortlisting of candidates: Rolling basis

Supervisor checkpoint: Shortlisted candidates meet (virtually) with supervisors, supervisors provide detailed feedback on their suitability to the project: January/March 2024

Entry requirements: You should have, or expect to obtain, the equivalent of a UK upper second class (2:1) degree in a relevant discipline for the project for which you are applying (this is the University’s standard requirement and applicants are advised to check the individual requirements for each project).

Funding: Self-funded

Details: Gastric Cancer is the fifth most common malignancy in the world and third leading cause of death: 865,000 worldwide in 2017; 12 lives/day in the UK (2016-2018). According to the International Agency for Research on Cancer, 89% of all cases are attributed to infection from Helicobacter pylori (Hp). We propose to use Raman and FTIR spectroscopy to obtain vibrational and absorption spectroscopic data from gastric cancers tissues. The optical characterization of gastric cancer will be further augmented with genomic and/or transcriptomic characterization of the gastric cancer tissues; elucidating the biological processes which underpin changes in bio-photonic states. This PhD project will combine the tissue-level molecular (at Biology department) and bio-photonic characterizations with the School of PET, with the eventual aim of developing a robot-assisted bio-photonic medical device for early detection of gastric cancer. The York Biomedical Research Institute at the University of York is committed to recruiting extraordinary future scientists regardless of age, ethnicity, gender, gender identity, disability, sexual orientation, religion/belief, marital status, pregnancy and maternity, or career pathway to date. We understand that commitment and excellence can be shown in many ways and have built our recruitment process to reflect this. We welcome applicants from all backgrounds, particularly those underrepresented in science, who have curiosity, creativity and a drive to learn new skills.

How to apply: You should apply for the project through the department of the lead supervisor in bold on each project. Select the project from the section below and click the Apply to this project button. On the postgraduate application form, please select 'CDT Autonomous Robotic Systems for Lab Experiments' as your source of funding. You do not need to provide a research proposal, just enter the name of the project you wish to apply for. We will continue to accept applications for projects open for applicants with external funding, which will be assessed as they are received.

PhD Position: Revealing the correlation between physiology and physical chemistry of microcalcification in connective tissue using AI supported tissue characterization. - Link 

Self-funded

Projects advertised to students: Nov 2023 

Central scoring and shortlisting of candidates: Rolling basis

Supervisor checkpoint: Shortlisted candidates meet (virtually) with supervisors, supervisors provide detailed feedback on their suitability to the project: January/March 2024

Entry requirements: You should have, or expect to obtain, the equivalent of a UK upper second class (2:1) degree in a relevant discipline for the project for which you are applying (this is the University’s standard requirement and applicants are advised to check the individual requirements for each project).

Funding: Self-funded

Details: Revealing the correlation between physiology and physical chemistry of microcalcification in connective tissue using AI supported tissue characterization. at University of York on FindAPhD.com 

How to apply: Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.