Post Doctoral Position in Neuroimaging

POSITION SUMMARY

Applications are invited for a postdoctoral position in the Ances Laboratory at Washington University in St. Louis. The primary focus of the lab is to understand how neurodegenerative diseases (especially Alzheimer’s disease) and aging disrupt brain organization and mediate symptoms. Results are expected to have broad implications not only for understanding the pathophysiology of neurodegenerative disorders but more generally for understanding the relationship between brain physiology, anatomy, and behavior.

The laboratory utilizes state‑of‑the‑art magnetic resonance imaging (MRI) research facilities and has an outstanding record of productivity. Writing manuscripts and applying for independent grants will be strongly encouraged.
Funding is guaranteed for a minimum 2 year commitment.

The primary responsibility of the post‑doctoral fellow will be to conceive, design, and analyze studies pertaining to the effect of neurodegenerative disease on structural (e.g., volumetric imaging and diffusion tensor imaging [DTI]) and functional (e.g., blood oxygen level dependent [BOLD] imaging and arterial spin labeling [ASL]) brain organization. Anticipated activities entail development and implementation of new analytic strategies to facilitate understanding of disease in the human brain, integration of large multi‑modal imaging datasets, and analysis of the relationship between brain imaging markers and cognition or clinical status.

Strong written communication skills are required. Attention to detail, organizational capability, and the ability to handle multiple concurrent tasks are essential. The post‑doctoral fellow is expected to be able to work independently as well as part of a team in a fast‑paced environment.

PhD in neuroscience, computer science, physics, engineering, mathematics, psychology, or related fields is requested. Previous experience is preferred in computational methods, scientific programming, and/or neuroimaging data analysis. Experience in computer programming (e.g. Matlab, shell scripting, Python,

C), image processing (e.g. custom routines, FSL, AFNI, Free surfer), and statistical analyses (R, SPSS) is beneficial.

The successful applicant will have a strong background in scientific computing (e.g., Unix/Linux experience). Academic proficiency in statistics is strongly desired. The applicant should have experience designing or adopting statistical approaches to address neurobiological questions. Preference will be given to applicants with a strong publication record or experience with writing grant applications. The successful candidate should be highly motivated with excellent analytical and interpersonal skills.

To apply , please send a letter of interest and CV to bances
. Please arrange for three confidential letters of reference to be sent to the address below. Only applicants considered for employment will be contacted.