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Neuroimaging Methods Development Faculty

UT Southwestern Medical Center
Dallas, Texas
Closing date
Dec 8, 2022

The Advanced Imaging Research Center (AIRC) at the UT Southwestern Medical Center in
Dallas / Texas / US invites applications for an open rank (Assistant, Associate or Full Professor 
depending on qualification) tenure-track faculty position in the field of methodological 
development for neuroimaging.

Potential topics include but are not limited to the development of innovative neuroimaging data 
analysis methods for human and pre-clinical applications and / or human 3T and 7T neuroimaging data 
acquisition methods. Research areas of interest include (I) functional MRI (i.e. ultra-high 
resolution/layer specific, networks, novel analysis algorithms, distortion free acquisition); (II) 
diffusion weighted MRI (i.e. advanced modelling, model validation, spinal cord / heart); (III) 
susceptibility weighted (SWI), quantitative (T1/T2/MT) and anatomical (morphometry)  MRI  (i.e.  
processing  and  quantification,  motion  correction,  parallel transmission); (IV) functional and 
quantitative perfusion and angiography MRI and (V) machine-learning based reconstruction and 
analysis approaches. Integration of neuro MRI with complementary functional neuroimaging methods 
such as simultaneous EEG or PET or cross-validation against invasive methods to enhance the 
physiological interpretation of neuroimaging contrasts is also a topic of great interest.

Since its creation in 2005, the AIRC has established a track record of excellence in metabolic 
imaging including the development of MRI contrast agents, a hyperpolarization program, magnetic 
resonance spectroscopy as well as the investigation of tissue extracts by NMR after ¹³C labelled 
isotope infusion. Due to the recent establishment of the O’Donnell Brain Institute at UTSW and to 
better support an active clinical and basic science neuroimaging community at UTSW, UTD and UTA we 
aim to develop a strong MRI neuroimaging methodology expertise to complement the existing focus. 
UTSW has an international reputation in clinical and basic science excellence. There have been six 
Nobel Prize recipients since 1985.

AIRC provides access to human and preclinical MRI scanners to faculty and students at the three 
University of Texas academic institutions in north Texas to advance human imaging studies and 
translational research in animals.  The AIRC currently consists of 12 primary faculty and more than 
20 secondary or adjunct faculty and will expand by about 5 primary faculty in near future. AIRC is 
equipped with three human research-only 3T MR scanners (Philips Ingenia, Siemens Prisma, GE 750w), 
one human 7T MR scanner (Philips, first DDAS 7T system worldwide, software R5.9, parallel 
transmission fully integrated, state-of- the art neuroimaging scan protocols, enhanced multinuclear 
capability), three state-of-the art small animal MR scanners (Bruker 3T with HP capability, 7T with 
PET insert, 9.4T with rat and mouse brain cryo-coils and strong gradients), two hyperpolarization 
setups (Spin Aligner for preclinical and SpinLab for human application), 3 NMR spectrometers 
(Bruker) and a MRI contrast agent chemistry lab. The human and preclinical MRI and NMR facilities 
inside the AIRC recently underwent renovation and comprehensive hardware and software
upgrades and are at the latest state-of-the-art. The nearby Radiology Department offers access

to a cyclotron for producing radiotracers, small animal and human PET/CT and SPECT/CT scanners, 
bioluminescence and fluorescence imaging for rodents and a highly focused ultra- sound (HIFU) 
system integrated with pre-clinical MRI. The installation of integrated human PET-MRI and MRI-HIFU 
systems (Radiology) and two integrated MR-LINAC (Radiation Oncology) were completed recently.

Applicants for these positions should have a strong scientific record of accomplishment in 
neuroimaging  methods  development  including novel  data  analysis  and/or acquisition approaches 
and/or innovative approaches to validate neuroimaging contrasts supported by respective 
publications and grants.  Experience in supervising graduate students and/or postdoctoral  
researchers  is  preferred.  Applicants  should have  a degree  in  electrical engineering, 
physics, computational science, biomedical engineering or applied mathematics. Experience in either 
the development of novel and comprehensive data analysis pipelines or MRI sequence development is 
required. Faculty are expected to develop an independent, externally-funded research program and 
actively engage with clinical and basic research faculty across campus to apply the latest 
neuroimaging technologies to probe human brain function in health and diseases.

The position is available immediately and the search is going to continue until suitable candidates 
are found. The rank (assistant/associate/full) is subject to negotiation and depends on the 
previous experience and track record of accomplishment of the candidate. The offer will include an 
internationally competitive start-up package and an attractive salary.

UT Southwestern Medical Center is an Equal Opportunity/Affirmative Action Employer. Women, 
minorities, veterans and individuals with disabilities are encouraged to apply.

Applications should include a letter of interest, a curriculum vitae, a list of publications (peer- 
reviewed original articles; review articles; book chapters; conference contributions; patents; 
other), a list of grants (please clearly distinguish grants as PI, as Co-PI and as personnel funded 
by the grant); a list of supervised students (Bachelor, Master, PhD) and PostDocs; a comprehensive 
summary of past research experience and future research interests (max 4 pages); PhD and Master 
certificates and respective transcripts; PDF copies of 5 most important publications and three 
references (contact details only).

All materials should be sent electronically as a single PDF file to Anke Henning, Director, 
Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, US: and uploaded to the UTSW Talent Acquisition system:

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