Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Details
Open Date 09/25/2019
Requisition Number PRN22034B
Job Title Post Doc Res Assoc
Working Title Post Doc Research Associate
Job Grade A00
FLSA Code Administrative
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Shift Day
Work Schedule Summary  
VP Area President
Department 00810 - Scient Comp & Imag Instit-Oper
Location Campus
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range 60,000 to 70,000
Close Date  
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
Minimum Qualifications Qualifications:
- 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.
Type Benefited Staff
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.


Apply here

Additional Information
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.
To inquire about this posting, email: This email address is being protected from spambots. You need JavaScript enabled to view it. or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/TDD), email: This email address is being protected from spambots. You need JavaScript enabled to view it..
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.This position may require the successful completion of a criminal background check and/or drug screen.


Posting Specific Questions

Required fields are indicated with an asterisk (*).
  1. * Do you meet the minimum qualifications of the position as specified in the job posting?
    • Yes
    • No

Applicant Documents

Required Documents
  1. Resume
  2. Research Statement
  3. List of References
Optional Documents
  1. Cover Letter
  2. Addendum to the University of Utah - Veteran Only - Call 801.581.2169 after submission
  3. Appropriate discharge document (such as a DD-214 – Member Copy 4) – Veteran Only – Call 801.581.2169