(Title): Difference between revisions

Latest revision as of 13:51, 8 October 2026

Research Associate in Multimodal Neuroimaging

Overview

This is a 2-year fixed term opportunity for a post-doctoral MRI physicist to work on an ambitious Wellcome Trust funded neuroimaging grant. The project centres on the novel application of hyperpolarised xenon to study gas exchange in the brain. The post doc will be required to acquire pre-clinical data in a multidisciplinary team. Designing MR acquisition protocols and robust data analysis pipelines is essential to this role. Pulse sequences may be developed with the support of other senior scientists. This project seeks to understand the application of hyperpolarised xenon to detect early signs of brain diseases associated with the cerebral vasculature (specifically cerebral Small Vessel Disease). There is a clear route to human translation as these methods are already used in human research in Sheffield. Rigorous physiological validation of the method is the core aim.

We are embarking on an ambitious project with a small team; the successful candidate will be someone that can communicate and solve problems. The opportunity for bold, discovery science is how to interpret the data in the context of previous research, first principles of MRI physics and experimental physiology. Working closely with the PI Isabel Christie, you will acquire hypothesis-driven data. Building upon established tracer kinetic models and prior research at Sheffield, you will tailor image processing methods to derive the value of this data to diagnose deficits of gas exchange and blood brain barrier physiology.

Main duties and responsibilities

Plan pulse sequences, acquisition parameters and help to acquire preclinical data. Communicate engineering requirements to colleagues/companies to generate robust solutions where required (RF coil, ventilator circuits). Assess and optimise data quality in real time during acquisition. Optimise xenon acquisition to test the hypotheses outlined in the grant drawing on the literature, local expertise and collaborators. Optimise ASL acquisition to test the hypotheses outlined in the grant drawing on the literature, local expertise and collaborators. Assist the PI to implement a data management plan for MRI Bruker data which adheres to the FAIR principles. Present results to members of the research group, to collaborators and to external audiences in national and international conferences. Potential to implement additional MRI methods used by other researchers to quantify perfusion or oximetry. Continuously monitor and check results, amending project plans as required to accommodate new developments. As a member of staff you will be encouraged to make ethical decisions in your role, embedding the University sustainability strategy into your working activities wherever possible. Carry out other duties, commensurate with the grade and remit of the post

Informal enquiries: i.christie@sheffield.ac.uk

Apply here: https://jobsite.sheffield.ac.uk/job/Research-Associate-in-Multimodal-Neuroimaging/3146-en_GB/

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-Full Professor in Artificial Intelligence in Radiological Imaging
+Research Associate in Multimodal Neuroimaging
-pursuant to § 98 of the Universities Act (UG)
-The Rectorate of the Medical University of Innsbruck invites applications for the immediate appointment of a University Professor (f/m/d) in Artificial Intelligence (AI) in Radiological Imaging pursuant to § 98 of the Universities Act (UG). The professorship will be based at the University Department of Radiology. The employment contract is limited to five years. Upon positive evaluation, a subsequent appointment to a permanent position is possible. The position is full-time (100%).
-The position involves representing the discipline in research and teaching. In both areas the collaboration with other organizational units and close cooperation within the Faculty of AI and Scientific Computing in Medicine (AISCM) at the Medical University of Innsbruck is expressly encouraged.
-The successful candidate is expected to demonstrate a high level of scientific qualification as well as international recognition. Applicants should have an internationally recognized track record in the development of methods for the processing and analysis of radiological imaging data using AI techniques. The scientific work should encompass modern AI methods for the automated analysis of MRI, CT, or DSA images for the study of various diseases and for precision medicine (including radiomics approaches), as well as for the support of image-guided interventions.
-Appointment requirements:
-•	Completed doctoral degree (PhD or MD/PhD) in a technical, natural science, or human medical field, or an equivalent qualification
-•	Experience and expertise in state-of-the-art AI and radiological image processing
-•	a strong record of high-ranking, relevant publications
-•	University-level teaching experience
-•	Willingness to engage in teaching and the further development of the various degree programs at the Medical University of Innsbruck
-•	Several years of experience in interdisciplinary collaboration between the fields of technology/natural sciences and medicine
-•	Leadership and management experience, in particular leading a research group
-•	Successful, continuous acquisition of third-party funding
-The Medical University of Innsbruck strives to increase the proportion of women among its academic staff, particularly in leadership positions, and therefore strongly encourages qualified women to apply. In cases of underrepresentation, women will be given preferential consideration when qualifications are equivalent.
-Applications from people with disabilities and chronic illnesses are welcome and will be treated equally when qualifications are equivalent.
-The application deadline is 17th June, 2026 (date of receipt).
-Applications must be submitted exclusively in digital form (as PDF files) in German or English to the following email address: berufungen@i-med.ac.at.
-Applications must be complete in accordance with the formal requirements listed at https://www.i-med.ac.at/berufungen.
+Overview
-In case of inconsistencies between the German and the English versions of this tender, the legally binding version is the German one.
+This is a 2-year fixed term opportunity for a post-doctoral MRI physicist to work on an ambitious Wellcome Trust funded neuroimaging grant. The project centres on the novel application of hyperpolarised xenon to study gas exchange in the brain. The post doc will be required to acquire pre-clinical data in a multidisciplinary team. Designing MR acquisition protocols and robust data analysis pipelines is essential to this role. Pulse sequences may be developed with the support of other senior scientists. This project seeks to understand the application of hyperpolarised xenon to detect early signs of brain diseases associated with the cerebral vasculature (specifically cerebral Small Vessel Disease). There is a clear route to human translation as these methods are already used in human research in Sheffield. Rigorous physiological validation of the method is the core aim.
+We are embarking on an ambitious project with a small team; the successful candidate will be someone that can communicate and solve problems. The opportunity for bold, discovery science is how to interpret the data in the context of previous research, first principles of MRI physics and experimental physiology. Working closely with the PI Isabel Christie, you will acquire hypothesis-driven data. Building upon established tracer kinetic models and prior research at Sheffield, you will tailor image processing methods to derive the value of this data to diagnose deficits of gas exchange and blood brain barrier physiology.
+Main duties and responsibilities
+Plan pulse sequences, acquisition parameters and help to acquire preclinical data.
+Communicate engineering requirements to colleagues/companies to generate robust solutions where required (RF coil, ventilator circuits).
+Assess and optimise data quality in real time during acquisition.
+Optimise xenon acquisition to test the hypotheses outlined in the grant drawing on the literature, local expertise and collaborators.
+Optimise ASL acquisition to test the hypotheses outlined in the grant drawing on the literature, local expertise and collaborators.
+Assist the PI to implement a data management plan for MRI Bruker data which adheres to the FAIR principles.
+Present results to members of the research group, to collaborators and to external audiences in national and international conferences.
+Potential to implement additional MRI methods used by other researchers to  quantify  perfusion or oximetry.
+Continuously monitor and check results, amending project plans as required to accommodate new developments.
+As a member of staff you will be encouraged to make ethical decisions in your role, embedding the University sustainability strategy into your working activities wherever possible.
+Carry out other duties, commensurate with the grade and remit of the post
+Informal enquiries: i.christie@sheffield.ac.uk
+Apply here:
+https://jobsite.sheffield.ac.uk/job/Research-Associate-in-Multimodal-Neuroimaging/3146-en_GB/