Graduate Teaching Assistant (GTA) - Advancing the Optimisation of Simulation and Machine Learning Pipelines for enhanced performance benchmarked in the Healthcare Domain, Reading
Client: University of Reading
Location: Reading, United Kingdom
EU work permit required: Yes
Job Reference: ac1f5ceb56d2
Job Description: We are pleased to announce a fantastic opportunity for ambitious computer scientists to join our Computer Science Graduate Teaching Assistant (GTA) Programme!
Candidates will study for a four year, full time funded PhD (3 quarters of your time) whilst working and receiving a salary to gain valuable teaching experience (1 quarter of your time). Candidates will receive a salary and stipend package that exceeds the standard UKRI stipend for a full-time PhD.
Home/RoI Students will have their PhD fees waived, International students will receive a fee waiver equivalent to the Home/RoI fee and will be expected to fund the difference between the International fee and the Home/RoI fee.
PhD Topic: Advancing the Optimisation of Simulation and Machine Learning Pipelines for enhanced performance benchmarked in the Healthcare Domain
The Royal Berkshire Hospital has 20 surgical theatres and only 3-4 beds for patients’ overnight full recovery from anaesthesia. Thus to avoid exceeding the bed capacity a daily limit is imposed on those surgeries that are deemed likely to require overnight stay for post anaesthesia recovery.
Aims and Objectives:
In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data augmentation and model optimisation to deliver a reliable prediction of patient needs into recovery services after surgery.
This will be achieved through the following objectives:
1. Acquire data and expert-based evidence and optimise data augmentation to ensure optimal hospital patient pathways.
2. Establish a clinical scoring system to predict patients’ post-operative anaesthetic recovery needs.
3. Develop and optimise a modelling pipeline including a decision support dashboard for optimal patient selection for surgery.
Candidate Requirements:
* Meet the academic requirements for a PhD offer from the University of Reading.
* Have a good (1st or 2.1) first degree in Computer Science, Statistics, Data Science, Mathematical Science, Meteorology, Physics or closely related subjects.
* Effectively organise your time and prioritise tasks to balance PhD studies with GTA responsibilities.
* Demonstrate scholarship in developing a publication record in your area of specialist expertise.
* Communicate scientific concepts clearly and enthusiastically.
* Have good interpersonal skills and work as part of a team.
Candidates will be provided with training to develop teaching and pedagogical skills; no prior experience of teaching is necessary. On the research side, our package of support includes access to MSc courses and bespoke training.
Working hours for the teaching portion will be variable during the academic year but will be no more than 20 hours per week. The terms of the offer of funding for the PhD and the offer of employment will rely upon the postholder being registered as a full-time doctoral student.
Successful candidates will be paid an annual salary (£8745) and stipend (£15585 per annum) over the 4 year period and will have PhD fees waived at the Home level.
You must upload a combined CV and Proposal in pdf format (max size 1 MB) and complete the supporting statement.
Interview: 24 April 2025
We look forward to hearing from you!
Contact Job Title: Lecturer in Computer Science
Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications.
The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. Applications for job-share, part-time and flexible working arrangements are welcomed.
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