Engineering Scientist Associate - Data Analytics Nuclear Engineering

Engineering Scientist Associate - Data Analytics for Nuclear Engineering Applications

Hiring Department: Walker Department of Mechanical Engineering

Position Open To: All Applicants

Weekly Scheduled

Hours:

40

FLSA Status: Exempt

Earliest

Start Date:

Immediately

Position Duration: Expected to Continue Until Aug 31, 2027

Location: UT MAIN CAMPUS

Applications are invited for multiple Engineering Scientist Associate positions with a focus on data analytics of operational data from a nuclear reactor in support of the development of digital twins and artificial intelligence (AI) applications. These positions in the Nuclear and Radiation Engineering program, at the University of Texas at Austin (UT) are to categorize, label, and comprehend real-time, and time-delayed, data streams from the operating nuclear reactor on UT's J.J. Pickle Research Campus as part of the Digital Molten Salt Reactor Initiative (D'MSRI).

This position is based on currently available funding that will continue through August 31, 2027. Extensions beyond this time are possible, based on the availability of funding.

The Digital Molten Salt Reactor Initiative (D'MSRI) is a program funded by the state of Texas to develop a long-term research program at UT that centers on the use of digital twins to enable the licensing of innovations for advanced reactors in Texas. This project includes a suite of initiatives that include the development of digital twins for physical systems at many institutions, development of high-fidelity, multiphysics software that models advanced reactors, economic and policy drivers that may be implemented at the state and national level to encourage innovation in advanced reactors, and business development to engage with the nuclear industry to enable them to recognize the value of digital twins.

• Data analysis of real-time (measured and simulated) data on-site at the nuclear reactor
• Data analysis of simulated data generated on the high-performance computers at the Texas Advanced Computing Center
• Incorporation of automated tagging of operator and experimenter actions that impact reactor operation
• Database management of the measured and simulated data using SQL or similartools
• Statistical analysis of measured and simulated data using R, Python, and similar
• Development of reduced order and bias correction models based on the operational and simulated data
• Development of Python software for automated data analysis
• Communication of the data to improve utilization by reactor operators, users of the reactor for experiments, nuclear software developers, and education of the general public.

• A BS in mathematics, data science, computational science, or a related field;
• Experience using Python for data analysis; and
• Understanding of foundational with data analytics methods.

• US citizenship is preferred due to access requirements at the nuclear reactor
• Experience using or creating data analytics software for nuclear systems
• Experience using modern software development practices, facilities, and programming.

$70,000 + depending on qualifications

• Work in an academic research environment.
• Working in lab environment.
• Use of manual dexterity.
• Repetitive use of a keyboard at a workstation.

• Curriculum Vitae (CV)
• 3 work references with their contact information
• Letter of interest addressed to Dr. Clarno that includes a 100-200 word narrative of experience with nuclear analysis software and contact information for three academic and/or professional references

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.

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.

Regular staff who have been employed in their current position for the last six continuous…