Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.
Applications are invited for a postdoctoral position in the research group of Dr. Sotiras, a part of the Computational Imaging Laboratories (CIL) at Washington University in St. Louis. The primary focus of the group is to use machine learning and image analysis methods to solve clinical neuroscience problems. CIL is a diverse and interdisciplinary team whose research focuses on advancing imaging informatics technology and developing advanced computational techniques for quantitative image analysis.
The successful candidate will lead or participate in projects developing, implementing, and applying machine learning algorithms for the analysis and interpretation of medical images and related clinical data. More specifically, the successful candidate will develop novel computational and analytical techniques to improve our understanding of brain structure and function in health and disease. Applications include studying Alzheimer’s disease and brain development. Anticipated activities entail integrating of multi-modal imaging data, analyzing the relationship between brain imaging markers and cognition or clinical status, and building predictive tools for patient-specific diagnosis and prognosis. Attention to detail, organizational capability, and the ability to handle multiple concurrent tasks are essential. The postdoctoral fellow is expected to be able to work independently, as well as part of a team in a fast-paced environment. The successful candidate will have a unique opportunity to work closely with clinical investigators and will have ample opportunities to present research methods and scientific findings at national and international conferences, and to publish results in academic journals.
The appointment is of limited duration generally, not to exceed five years cumulatively unless there are extenuating circumstances.
Manages their own project, preparing and submitting papers on research.
Assists with grant preparation and reporting.
Assists in the design of research experiments.
Develops proficiency in their ancillary skills, e.g., writing, public speaking, networking, critical evaluation of scientific documents, etc.
Evaluates research findings and assists in the reporting of scientific work both inside and outside the University.
Provides guidance and mentorship for more junior lab members.
Maintains conscientious discharge of their research responsibilities.
Maintains conformity with ethical standards in research.
Complies with good laboratory practice, including the maintenance of adequate research records.
Maintains open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications.
Maintains collegial conduct towards co-trainees, staff members and members of the research group.
Adheres to all applicable University policies, procedures, and regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University.
Ph.D., M.D., D.Sc. or an equivalent terminal or doctoral degree.
Ph.D. in neuroscience, psychology, computer science, electrical engineering, computer science, physics, or a related discipline.
Strong background in scientific computing (e.gt., Unix/Linux experience).
Proficiency in quantitative analytical methods and computer programming (e.g., Matlab, shell scripting, Python, C).
Experience with medical image analysis, neuroimaging analysis software suites, (e.g., custom routines, FSL, AFNI, Freesurfer) and statistical analyses (e.g., R) is beneficial.
Academic proficiency in statistics is strongly desired.
Strong publication record, documented by publications in top-tier medical imaging, computer vision, and/or machine learning conferences and journals.
Highly motivated with excellent analytical, interpersonal, and communication skills.
Ability to work effectively independently and within a multidisciplinary team.
Postdocs have access to state-of-the-art lab equipment and departmental core facilities, including the Center for High-Performance Computing. We have ongoing national and international leading research projects in studying neurodegenerative diseases, such as Alzheimer's disease. The Mallinckrodt Institute of Radiology has a great research community, and the Washington University School of Medicine is one of the top medical schools in the USA (https://www.mir.wustl.edu/).
Applicant Special Instructions:
Interested applicants should send 1) a 1-page cover letter summarizing their interests, how they can contribute to the lab, as well as the earliest date that they can start the appointment, 2) CV, and 3) contact information for 2-3 references to Dr. Aristeidis Sotiras, email@example.com. Only applicants considered for employment will be contacted.
Base pay commensurate with experience.
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
Washington University in St. Louis, a medium-sized, independent university, is dedicated to challenging its faculty and students alike to seek new knowledge and greater understanding of an ever-changing, multicultural world. The University offers more than 90 programs and almost 1,500 courses leading to bachelor's, master's and doctoral degrees in a broad spectrum of traditional and interdisciplinary fields, with additional opportunities for minor concentrations and individualized programs. The faculty is composed of scholars, scientists, artists and members of the learned professions. They serve society by teaching; by adding to the store of human art, creativity, understanding, and wisdom; and by providing direct services, such as health care.