| Open Date | 06/08/2022 |
|---|---|
| Requisition Number | PRN30890B |
| Job Title | Post Doc Res Assoc |
| Working Title | Postdoctoral Researcher |
| 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 | 58000 to 78000 based on qualifications, training and experience |
| Close Date | |
| Open Until Filled | Yes |
| Job Summary |
The Scientific Computing and Imaging (SCI) Institute at the University of Utah invites applications for one or more full-time (1.0 FTE) post-doctoral researchers to engage in the research, design, and deployment of machine learning and statistical methods to solve image analysis problems driven from applications in medicine, science, and engineering. The SCI Institute is seeking a highly talented and committed individuals with a demonstrated ability to work well with minimal supervision in a multi-disciplinary research environment. Successful candidates will enjoy being part of a world-renowned research institute and working closely with graduate students, post-doctoral researchers, software developers/engineers, research scientists, and faculty members to develop cutting-edge computational and mathematical tools.
Successful candidates will contribute to the Institute’s world-class research and software development in biomedical image analysis. They will work as part of collaborative, multidisciplinary teams that entail SCI Institute researchers and external collaborators in multiple application domains. They will contribute to establishing theoretical foundations, innovating computational methods, developing robust software packages for inverse problems in image analysis, and applying these methods in several application domains.
Please contact Prof. Shireen Elhabian (This email address is being protected from spambots. You need JavaScript enabled to view it.) for further information.
The SCI Institute The Scientific Computing and Imaging (SCI) Institute at the University of Utah is an internationally recognized leader in visualization, scientific computing, and image analysis applied to a broad range of domains. The SCI Institute brings together faculty in bioengineering, computer science, mathematics, and electrical engineering in applying advanced computing technologies to challenges in a variety of domains, including biology and medicine. The SCI Institute includes 19 faculty members and over 200 other scientists, administrative support staff, and graduate and undergraduate students.
The overarching goals of the SCI Institute’s scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including image analysis, visualization, simulation, and modeling. The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual.
At the SCI Institute, we offer flexible working hours, the potential for career development and personal growth, diversity of work, and interaction with students. We also foster and support the sense of community among principal investigators, software engineers, and researchers in a collaborative environment. Furthermore, the University of Utah offers a competitive benefits package.
Further information is available at http://www.sci.utah.edu/.
|
| Responsibilities |
Responsibilities
- Research, formulate, implement, and apply advanced machine learning, data science, and image analysis for multiple biomedical applications in a collaborative scientific environment.
- Participate with SCI faculties, external collaborators, and researchers in designing computational methods for application-driven research in image analysis that enable answering domain-specific research questions.
- Propose and implement advanced image analysis and machine learning methodologies.
- Implement, test, and evaluate computational methods within collaborative code bases.
- Document methods and results in technical reports and peer-reviewed publications.
- Contribute to grant proposal writing and relevant preliminary data preparation to accomplish the goals of the principal investigator research program.
- Pursue independent (but complementary) research interests.
- Scientific interaction among SCI faculties, application domain experts, software engineers, and graduate students.
- Provide scientific support and mentoring for graduate students.
Qualifications
- Ph.D. in computer science or a closely related field awarded at time of the hire date.
- Individuals having a proven track record of research in one or more of the following areas are highly preferred: image analysis, computer vision, data science (e.g., machine/deep learning, probabilistic modeling), uncertainty quantification, scientific visualization, applied mathematics, or computational sciences.
- Ability and desire to learn cross-disciplinary knowledge to identify novel and impactful applications of image analysis and machine learning.
- Analytical problem-solving and decision-making skills needed to independently propose solutions for identified problems.
Technical Skills - Advanced programming skills in C++ and scripting languages (e.g., Python and Matlab)
- Hands on experience in developing and applying advanced machine learning methods and computational algorithms using modern software libraries, including PyTorch and TensorFlow.
- Competence in git and GitHub is a must.
- Debugging and critical thinking skills including identifying bottlenecks, and bugs and devise solutions to these problems.
Desirable Skills
- Experience with large software development projects is a plus.
- Solid computer science fundamentals including algorithms, data structures, and object-oriented programming.
- Solid experience with software development including designing, building, and maintaining efficient, reusable, and reliable source code.
Helpful Skills
- Experience with high-performance computing, GPU/ parallel programming, and cloud computing.
- Hands on experience with the Insight Toolkit (ITK), the Visualization Toolkit (VTK), and QT.
- Experience with developing cross-platform software packages, or a willingness to learn.
- Good understanding of GitHub Actions, or a willingness to learn.
- Experience with Google Test (for developing unit tests), or a willingness to learn.
Non-Technical Skills
- Able to work independently and professionally with minimal supervision and direction.
- Being self-motivated and having good organizational, communication, and teamwork skills is essential.
- Willingness and ability to collaborate in a highly diverse, multi-disciplinary environment.
- Excellent oral and written communication skills necessary to effectively work in a multidisciplinary team environment.
- Communication and presentation skills to engage technical and non-technical audiences.
- Strong interpersonal abilities.
- Strong teamwork skills.
- Highly motivated to support research projects.
Note: This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to the job.
Opportunities for Professional Development Successful candidates will have the opportunity to develop their research, publication, and presentation skills under mentorship from established faculty investigators. In addition, successful candidates will benefit from mentoring activities at the SCI Institute and School of Computing (SoC) to prepare them for the next phase of their careers. Through the Cyberinfrastructure Professionals (CIP) Cooperative (Co-Op) at the SCI Institute, successful candidates will access a community of research computing and data experts working together to support and sustain SCI’s world-class research efforts. Successful candidates will also have the opportunity to join the Future Faculty Fellow Program offered by the SoC. This program trains postdoctoral candidates in elements needed for an academic career as researcher, teacher, mentor, and computing citizen. Professional development opportunities, including training in teaching, are also available on campus through the Office of Postdoctoral Affairs (https://postdocs.utah.edu).
Work Environment
- You will be contributing to cutting-edge computational methods for image analysis.
- We offer flexible working hours.
- We offer professional career development opportunities.
- The University of Utah offers a very competitive benefits package.
Benefits
- Health, dental, and wellness coverage https://www.hr.utah.edu/benefits/health\_wellness.php
- Free public transportation pass (https://commuterservices.utah.edu/uta/) (Utah Transit Authority)
- Paid leave time (https://www.hr.utah.edu/benefits/paidLeave.php)
- Tuition reduction for employee and family members (https://www.hr.utah.edu/benefits/tuition.php)
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| Minimum Qualifications | |
| Preferences |
Start Date and Term: Start date is immediate, preferably before August 1st, 2022. The initial appointment will be for a 2-year period, with the possibility of an extension based upon performance and availability of funding.
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| Type | Benefited Staff |
| Special Instructions Summary |
Please also send your application documents to Prof. Shireen Elhabian (This email address is being protected from spambots. You need JavaScript enabled to view it.). If we accept your application, we will be in touch to schedule an interview. We look forward to hearing from you.
Application Documents - Resume/CV
- Names and contact information of three references.
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| Additional Information |
The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and possess a strong commitment to improving access to higher education for historically underrepresented students.
Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action: Director/ Title IX Coordinator 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 (*).
- * Do you meet the minimum qualifications of the position as specified in the job posting?
- Yes
- No
Applicant Documents
- Resume
- 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