|Job Title||Post Doc Res Assoc|
|Working Title||Post Doc Research Associate|
|Patient Sensitive Job Code?||No|
|Standard Hours per Week||40|
|Full Time or Part Time?||Full Time|
|Work Schedule Summary|
|Department||00810 - Scient Comp & Imag Instit-Oper|
|City||Salt Lake City, UT|
|Type of Recruitment||External Posting|
|Pay Rate Range||60,000 to 70,000|
|Open Until Filled||Yes|
|Job Summary||Postdoctoral opening on adversarial robustness in deep learning We are looking for a highly motivated postdoc to join our research team at the Scientific Computing and Imaging Institute, University of Utah. The focus of the project is to use machine learning to predict the type and processing history of interdicted nuclear materials from electron microscopy. A key component of the project is the analysis and improvement of the adversarial robustness of models used for prediction. The selected candidate will work on fundamental questions related to adversarial robustness with a broad focus on general image classification problems. The position will be for 18 months with the possible extension to 24 months.|
|Responsibilities||-Develop novel methods the analysis and improvement of deep learning models.
-Write high quality scientific papers and present at top tier computer vision and machine learning conferences
- PhD from Computer Science, Electrical Engineering or related field.
- Strong technical background in machine learning and image processing.
- Doctoral research in machine learning, computer vision or image analysis.
- Previous project experience with Python and either Tensorflow or PyTorch
- Good written and oral communication skills
|Preferences||Please list at least 2 references in the application documents.|
|Special Instructions Summary||This project is funded by the US Department of Homeland Security. There are no restrictions on dissemination of the research; however, DHS requires all personnel working on the project to be US citizens or permanent residents. No exceptions can be made to this requirement. For more information contact:
Tolga Tasdizen, tolga at sci.utah.edu
http://www.sci.utah.edu/~tolga/ Your application shall contain a detailed CV, a research statement, and the contact information of two referees.
The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
Posting Specific QuestionsRequired fields are indicated with an asterisk (*).
- * Do you meet the minimum qualifications of the position as specified in the job posting?
Applicant DocumentsRequired Documents
- Research Statement
- List of References
- Cover Letter
- Addendum to the University of Utah - Veteran Only - Call 801.581.2169 after submission
- Appropriate discharge document (such as a DD-214 – Member Copy 4) – Veteran Only – Call 801.581.2169