University of Texas at Austin, Oden Institute

Position ID: UTAustinT-PD1 [#17169]
Position Title: Postdoc
Position Type: Postdoctoral
Position Location: Austin, Texas 78712, United States [map]
Subject Areas: vision-based sensor placement and robotic navigation problems and related problems in computer vision, deep learning, and optimal control
Application Deadline: 2021/02/10 11:59PMhelp popup finished (2021/01/13, finished 2021/03/16, listed until 2021/02/28)
Position Description:    

*** this position has been closed. ***

Postdoctoral research opportunity to collaborate on research in the Oden Institute for Computational Engineering and Sciences under the supervision of Dr. Richard Tsai. Will conduct research in the areas involving vision-based sensor placement and robotic navigation problems and related problems in computer vision, deep learning, and optimal control. 
Job Description The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational visualization. PhD must have been received within the past three years. The position is funded for a year with possibility of continuation based upon performance review, progress towards research goals, and continuation of funding. The appointment can be renewed up to 4 times, but an overall duration of 2 or 3 years would normally be expected. 
• Perform basic research in the areas involving vision-based sensor placement and robotic navigation problems and related problems in computer vision, deep learning, and optimal control. 
• Implement and test new algorithms in different computing environments. 
• Write scientific journal articles describing new findings. Disseminate the research through presentations at scientific conferences, university seminars, and in internal meetings. 
Required Qualifications 
• Ph.D. in a mathematics, computer science, physics, or a related discipline; earned within the last three years. 
• Strong background in numerical analysis and deep learning. 
• Excellent written and oral communication skills. 
• Ability to work as part of an interdisciplinary research team. 
• Solid publication record. 
Preferred Qualifications 
• Background in the following areas: level set methods, computer vision, image processing, and optimal control. 
• Experience with deep learning and scientific programming; familiarity with Unix/Linux environment. 
Salary Range $62,000 + depending on qualifications 
Working Conditions 
• Regular office environment, including remote work due to COVID-19. 
• May work around standard office conditions. 
• Repetitive use of a keyboard at a workstation. 
• Travel as required to project meetings or conferences. 
How to Apply Interested applicants should apply via the University of Texas job board. Please Note: The university has two job boards. One for candidates who do not currently have an affiliation with the university and one for current employees and contingent workers. 
Job Search for Prospective Candidates with No UT Affiliations External: ;
Job Search for Current University Employees and Contingent Workers Internal:$158872/9925$16005.htmld ;
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes. Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. 
---- Employment Eligibility: Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation. 
---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. 
---- Background Checks: A criminal history background check will be required for finalist(s) under consideration for this position. 
---- Equal Opportunity Employer: The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. 
---- Pay Transparency: The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 
---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. 
---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: • E-Verify Poster (English) [PDF] • E-Verify Poster (Spanish) [PDF] • Right To Work Poster (English) [PDF] • Right To Work Poster (Spanish) [PDF] 
---- Compliance: Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the 2019 report here or obtain a copy at University Compliance Services, 1616 Guadalupe, Suite UTA 2.206, Austin, TX 78701.

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Contact: Melissa Manifold
Postal Mail:
201 East 24th St, Stop C0200
POB 4.102
Austin, TX 78712
Web Page:

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