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All vacancies within Nuffield Department of Clinical Neurosciences
There are currently 5 vacancies within Nuffield Department of Clinical Neurosciences:
| Title | Closes | Salary |
|---|---|---|
| Clinical Research Fellow | March 29, 2023, noon | Grade E63: £29,384 - £58, 398 per annum, pro rata |
| Research Assistant | April 5, 2023, noon | Standard Grade 6: £30,502-£36,386 per annum |
| Research Assistant in Computational Social Neuroscience | April 5, 2023, noon | Standard Grade 6: £30,502 - £36,386 per annum |
| OxSTaR Administration Assistant | April 11, 2023, noon | Standard Grade 4: £23,715 - £27,131 per annum, pro rata |
| Data Scientist (Healthcare) | April 12, 2023, noon | Standard Grade 7: £34,308 - £42,155 per annum |
Clinical Research Fellow
Closes: March 29, 2023, noon; salary: Grade E63: £29,384 - £58, 398 per annum, pro rata
<div> <p></p><div>We are seeking an enthusiastic, ambitious, clinical research fellow to play a key role in delivering a clinically focused translational research project within the Oxford BRC “Digital Health from Hospital to Home” research theme. You will have the opportunity to work with a cross-disciplinary team of world-leading biomedical and clinical researchers on cutting-edge digital health projects that will deliver measurable patient benefit. The role is within the University of Oxford’s Critical Care Research Group (led by Professor Peter Watkinson), based in the Kadoorie Centre at the John Radcliffe Hospital.</div><br> <div> </div><br> <div>Reporting to the Principal Investigators, the job will involve literature review, design and delivery of research interventions, patient recruitment, and associated data collection and data analysis, for the Tracking Atrial Fibrillation after Intensive Care Admission (TrAFFIC) and follow-on projects.</div><br> <div> </div><br> <div>Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application.  Your supporting statement must explain how you meet each of the selection criteria, using examples from your skills and previous experience.</div><br> <div> </div><br> <div><strong>This is a fixed-term part-time role starting 1st April 2023 until 31st March 2025.</strong></div><br> <div> </div><br> <div><strong>Only applications received before 12:00 midday 29th March 2023 will be considered.</strong></div><br> <div> </div><br> <div><strong>Interviews will be held as soon as possible thereafter.</strong></div> </div>Research Assistant
Closes: April 5, 2023, noon; salary: Standard Grade 6: £30,502-£36,386 per annum
<div> <p></p><div>We currently have an exciting opportunity for creative neuroscientists to join the <strong>Brain Network Dynamics Unit as a Research Assistant.</strong> There are 2 positions available for those who enjoy collaborative and multidisciplinary work.</div><br> <div> </div><br> <div>The post holder(s) will be part of the Sharott Group based at the MRC Brain Network Dynamics Unit (MRC BNDU), University of Oxford. The Group has a strong track record in studying the functional organisation of the cortico-basal ganglia-thalamic networks in rodents and humans. The Group use transdisciplinary approaches to elucidate the substrates underlying activity dynamics in these brain circuits, employing innovative techniques to monitor and manipulate neurons and to determine their influence on behaviour. The proposed research will take full advantage of the intellectual environment, capital equipment, technical expertise and excellent infrastructure in place at the MRC BNDU.</div><br> <div> </div><br> <div>In addition to having a BSc or equivalent qualification in a relevant discipline (e.g. biomedical science, neuroscience, engineering), candidates should have a promising track record demonstrating their commitment to neuroscience research.</div><br> <div> </div><br> <div>The posts are University Grade 6 positions with a starting salary of £30,502 - £36,386 per annum.</div><br> <div> </div><br> <div><strong>The post is full time fixed term, starting ASAP, for 1 year (in the first instance).</strong></div><br> <div> </div><br> <div><strong>Only applications received before 12:00 midday on 5th April 2023 will be considered.</strong></div><br> <div> </div><br> <div><strong>Interviews will be held as soon as possible thereafter. </strong></div> </div>Research Assistant in Computational Social Neuroscience
Closes: April 5, 2023, noon; salary: Standard Grade 6: £30,502 - £36,386 per annum
<div> <p></p><div>We are seeking a motivated and talented Research Assistant to join our interdisciplinary team in developing and piloting a new research study aimed at modifying social observational learning using virtual reality and real-time neurofeedback.</div><br> <div> </div><br> <div>You will be a part of a lab with expertise in computational neuroscience and neuroimaging of social learning and inference, with a particular interest in developing applications to support autistic people. Our expertise sits across basic neuroscience and biomedical engineering, with a strong track record of interdisciplinary and translational research.</div><br> <div> </div><br> <div>The successful candidate will be part of a broader project aiming to develop closed-loop systems for brain applications, with a focus on closed-loop neurofeedback as applied to observational inference. It is essential that the post holder holds an undergraduate degree in neuroscience, engineering, psychology, computer science or related disciplines. It is desirable that the post holder hold a masters degree in neuroscience, psychology, computer science or related disciplines.</div><br> <div> </div><br> <div><strong>The post is fixed term till 30th June 2024 in the first instance. </strong></div><br> <div> </div><br> <div><strong>Only applications received before 12:00 midday on 5th April 2023 will be considered.</strong></div><br> <div> </div><br> <div><strong>Interviews will be held as soon as possible thereafter. </strong></div> </div>OxSTaR Administration Assistant
Closes: April 11, 2023, noon; salary: Standard Grade 4: £23,715 - £27,131 per annum, pro rata
<div> <p></p><div>We are seeking a highly organised and efficient individual to join our team as an administrative support staff member. In this role, you will be responsible for managing various departmental functions, including database maintenance, course preparation and evaluation, and candidate administration. You will also be responsible for maintaining accurate and up-to-date records, communicating with candidates and colleagues, and ensuring GDPR compliance.</div><br> <div> </div><br> <div>The successful candidate will have experience of managing administrative processes and reception or customer facing work. It is essential that the post-holder holds a level 3 qualification ( for example BTEC ND, NVQ Level 3 or equivalent ) and/or significant work experience. It is desirable that the post-holder has experience with university administration systems.</div><br> <div> </div><br> <div><strong>This post is fixed term until 31st July 2025 in the first instance. </strong></div><br> <div> </div><br> <div><strong>Only applications received before 12:00 midday 11th April 2023 will be considered.</strong></div><br> <div> </div><br> <div><strong>Interviews are expected to be held w/c 17th April 2023.</strong></div> </div>Data Scientist (Healthcare)
Closes: April 12, 2023, noon; salary: Standard Grade 7: £34,308 - £42,155 per annum
<div> <p></p><div>We are looking for a committed, enthusiastic post-doctoral data scientist to join the Critical Care Research Group (CCRG) at the University of Oxford. Led by Professor Peter Watkinson, the CCRG aims to translate advances in biomedical technology, medical statistics, and machine learning into clinical tools that improve outcomes for critically ill patients. Our multi-disciplinary team includes clinicians, nurses, physiotherapists, biomedical engineers, statisticians, and qualitative researchers.</div><br> <div> </div><br> <div>Examples of previous impact include:</div><br> <div> </div><br> <div>•       Being the first in the world to demonstrate noncontact monitoring of oxygen saturations in clinical environments using webcams</div><br> <div>•       Developing and implementing an evidence-based early warning score system (SEND) in multiple NHS hospitals</div><br> <div>•       Developing novel machine learning algorithms to identify patient deterioration in hospital</div><br> <div> </div><br> <div>Using your previous experience of applying state-of-the-art statistical and machine learning methods to healthcare data, you will make key contributions to our research programme. You will have the opportunity to work closely with internationally renowned statisticians, machine learning experts and clinicians. You will design and implement analysis of large patient cohorts, from data extraction to statistical analyses. You will lead and contribute to peer-reviewed publications and funding applications.</div><br> <div> </div><br> <div>The position is full-time, although part-time employment will be considered, please state your proposed hours/week on your application. Funding is available for two years in the first instance with the possibility of extension.</div><br> <div> </div><br> <div>Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application.  Your supporting statement must explain how you meet each of the selection criteria, using examples from your skills and previous experience.</div><br> <div> </div><br> <div><strong>This post is fixed-term for two years in the first instance. </strong></div><br> <div> </div><br> <div><strong>Only applications received before 12:00 midday 12th April will be considered</strong></div><br> <div> </div><br> <div><strong>Interviews will be held as soon as possible thereafter</strong></div> </div>