Research Associate
3 weeks ago
**Job Purpose**
To make a leading contribution to the project “KidneyAlgo: New Algorithms for UK and International Kidney Exchange”, working with Professor David Manlove and other project collaborators. This 24-month project is funded by the Engineering and Physical Sciences Research Council (EPSRC) in collaboration with Professor Daniel Paulusma from Durham University, under EPSRC grants EP/X013618/1 and EP/X01357X/1.
The job involves designing new algorithms for kidney exchange, which provides an additional option for patients who require a kidney transplant, and who have a willing but medically incompatible donor. Patients in this position may swap their donors to receive a compatible kidney, and a kidney exchange programme constructs an optimal set of exchanges based on a pool of patient-donor pairs. Given the NP-hardness of the problem of finding an optimal solution, one key challenge to be addressed by this project is to design algorithms that can solve the problem in a reasonable length of time.
**Main Duties and Responsibilities**
1. Take a leading role in the planning and conduct of assigned research individually or jointly in accordance with the project deliverables and project / section / School / College research strategy.
-4. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical / progress reports and papers as appropriate.
5. Establish and maintain your research profile and reputation and that of the University of Glasgow / School / FATA section, including establishing and sustaining a track record of independent and joint publications of international quality in high profile / quality refereed journals, enhancing the research impact in terms of economic / societal benefit, and gathering indicators of esteem.
6. Present work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
7. Take a leading role in the identification of potential funding sources and assist in the development of proposals to secure funding from internal and external bodies to support future research.
8. Take a leading role in developing and maintaining collaborations with colleagues across the FATA section / School / College / University and wider community. This will include the Research Software Engineer based in Glasgow, the project collaborators based in Durham, especially the Durham Research Associate, the identified overseas collaborators, the project partner, NHS Blood and Transplant, and other European transplantation organisations. This will involve UK and European travel, which is budgeted for.
9. Take a leading role in team / group meetings / seminars / workshops and FATA section activities to enhance the wider knowledge, outputs and culture of the School/College.
10. Take the lead in the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
11. Perform administrative tasks related to the activities of the project, FATA section and School, including budgets / expenditure.
12. Make a leading contribution to teaching activities (e.g., tutoring and demonstrating etc.) and associated admin as assigned by the Head of School and in consultation with the PI.
13. Keep up to date with current knowledge and recent advances in the field / discipline.
14. Engage in personal, professional and career development, to enhance both specialist and transferable skills in accordance with desired career trajectory.
15. Undertake any other duties of equivalent standing as assigned by the Head of School and/or PI.
16. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, World Changers Together.
**Qualifications**
**Essential**:
A1 PhD in algorithms and complexity or in operational research, interpreted broadly
**Knowledge and Skills**
**Essential**:
C2 Knowledge of algorithm design and combinatorial optimisation techniques including integer programming
C3 Proven ability to deliver quality outputs in a timely and efficient manner
C4 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely
C5 Excellent interpersonal skills including team working and a collegiate approach
C6 Ability to work independently on own initiative and to strict deadlines.
**Experience**
**Essential**:
E1 Sufficient depth of relevant research experience, appropriate to an early career researcher
E2 A track record of publication and presentation of research results in quality journals / conferences
E3 Experience of making a leading contribution in academic activities
E4 Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the
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