Postdoctoral Research Associate - Department of Forensic and Investigative Sciences (ECAS)
Job posting number: #7083205
Posted: August 17, 2021
Application Deadline: Open Until Filled
The Department of Forensic and Investigative Sciences (FIS) in the Eberly College of Arts and Sciences is seeking applications for a Postdoctoral Research Associate to join Dr. Tatiana Trejos research group to support the project “Assessing the Strength of Trace Evidence Fracture Fits through a Comprehensive, Systematic, and Quantifiable Approach” The position is funded for 12 months and requires a proactive and independent researcher to work in collaboration with Dr. Tatiana Trejos at the FIS Department and Dr. Aldo Romero at the Physics and Astronomy Department. The position will be involved in the development of deep learning machine learning algorithms and databases to quantify the quality of a physical edge fit of materials of forensic interest. Successful candidates will perform independent research in the areas of machine learning and imaging, computer science, and statistics, will mentor undergraduate and graduate students, disseminate and publish research in peer-reviewed forensic journals.
In order to be successful in this position, the ideal candidate will:
Conduct individual and collaborative multidisciplinary research with intersection of forensic science, physics, mathematics, statistics, and computer science.
Develop, validate, and implement programming codes, statistical algorithms, and a database for the comparison of fracture fit’s images.
Supervise graduate and undergraduate students in research.
Assist the PIs writing reports to the funding agency.
Publish high quality peer-reviewed journal articles under the direction of the Principal Investigator (PI).
Ph.D. in Physics, Computer Science, Statistics, or a related field with a focus on data imaging. Ph.D. must be earned before the start date of the post, or with verification that will be earned within 3 months of the appointment date.
A minimum of two (2) years of research experience.
Strong experimental background or experience in computer programming skills (e.g., Python, R) and machine learning algorithms
Strong organizational and managerial skills.
Ability to lead undergraduate and graduate students.
Ability to communicate effectively, both orally and in writing, as demonstrated by journal publications, technical reports, and presentations at professional and scientific meetings.
About Research Corporation
West Virginia University Research Corporation is proud to be an Equal Opportunity employer. West Virginia University Research Corporation values diversity among its employees and invites applications from all qualified applicants regardless of race, ethnicity, color, religion, gender identity, sexual orientation, age, nationality, genetics, disability, or Veteran status.