Requisition ID: 29226
Location: Newcastle, GB
Contract Type: Fixed Term
Working Pattern: Full Time
Posted Date: 17 Apr 2026
Closing Date: 1st May 2026
The Role
We are seeking a motivated individual to join our project in the School of Computing at Newcastle. The aim of the project is to develop digital innovations for patient‑centric microsampling. As part of the technical development, the post holder will work closely with a consortium of academic and industry partners across Europe and the US to deliver data and digital solutions for collecting and analysing small‑volume blood samples.
The post holder will research and design advanced machine learning, AI and statistical methods to process and analyse data generated from microsampling, which may include concentrations of analytes, demographic information, among others.
The post holder will be expected to lead on the following project objectives:
* Engage with research and industrial partners and wider stakeholders to identify business needs, challenges and new opportunities for digital innovations in microsampling, and effectively translate them into actionable use cases.
* Develop responsible AI and statistical solutions tailored to the identified digital use cases, laying the foundation for future research and the broader adoption of microsampling.
* Implement methods to enhance the trustworthiness and robustness of analytical results and predictive outcomes for improved user acceptance.
This post is available immediately on a full‑time, fixed‑term basis until 30th April 2028. For informal enquiries, please contact Dr Wanqing Zhao (Wanqing.Zhao@newcastle.ac.uk).
Key Accountabilities
* To understand and convey specialised or highly technical material to the team through presentations and discussions that lead to the presentation of research papers at conferences and publications.
* To prepare and deliver presentations on research outputs to audiences including research sponsors and academic and non‑academic audiences.
* To publish high‑quality outputs, including peer‑reviewed journal papers and conference papers.
* To assist with the development of research objectives and proposals.
* To conduct individual and collaborative research projects under the direction of the Principal Investigator or Grant‑holder.
* To work with the Principal Investigator or Grant‑holder and other colleagues, as appropriate, to identify areas for research, develop new methods and extend the research portfolio.
* To discuss problems that may affect the achievement of research objectives and deadlines, offering creative or innovative solutions.
* To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding for future collaboration.
* To plan and manage own research activity and resources in collaboration with others and contribute to the planning of research projects.
* To deliver training in research techniques to peers, visitors and students as appropriate.
* To be involved in student supervision, as appropriate, and assist with the assessment of students.
* To contribute to a collegial and respectful working environment that is inclusive, welcoming and treats everyone fairly with dignity and respect.
* To engage in wider citizenship to support the department and discipline.
* To engage in continuing professional development by participating in teaching programmes or membership of departmental committees, and attending relevant training and development courses.
The Person
Knowledge, Skills and Experience
* Evidence of conducting high‑quality research in AI, machine learning, data science and digital health.
* Publication record in peer‑reviewed journals commensurate with stage of career.
* Track record of presenting research at conferences, symposia or meetings commensurate with stage of career.
* Proficient programming skills in Python, R, Java or MATLAB.
* Experience analysing healthcare data (e.g. EHRs).
* Evidence of collaboration with industry, policy makers or institutions.
* Demonstrable ability to develop research proposals and designs in collaboration with others.
* Experience with software delivery to a research sponsor.
Attributes and Behaviour
* Ability to work cooperatively as part of a team, including participating in research meetings.
* Ability to work independently on own initiative and meet deadlines.
* Excellent interpersonal and communication skills.
* Commitment to equality and diversity values in all aspects of work.
* Ability to set research goals, be self‑motivated and proactive.
* Attention to visual presentation, software design, and writing clear, concise, elegant code.
* Strong interest in interdisciplinary research.
Qualifications
* PhD awarded – Research Associate, or PhD near completion – Research Assistant, in Computer Science, Engineering, Mathematics/Statistics or a closely related subject.
Equity, Diversity and Inclusion
Newcastle University is a fully inclusive university, actively recruiting, supporting and retaining colleagues from all sectors of society. We value diversity, celebrate and support the contributions of all employees and the communities they represent. We are an equal‑opportunity employer and welcome applications from individuals who complement our existing teams. We are proud to be an Athena Swann Gold award holder for gender equality and hold a Race Equality Charter Bronze award. We are a Disability Confident employer and will offer interview support to disabled applicants who meet the essential criteria for the role.
In addition, we are members of the Euraxess initiative supporting researchers in Europe.
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