Research Engineer - Autonomous Systems & Control

University of Texas at Austin; United States; Presencial; USD 120.000 - 150.000; Jornada completa

Descripción de la vacante

The University of Texas at Austin’s Oden Institute seeks a Research Engineer to lead design and development of information-aware trajectory planning and control for autonomous aircraft, contributing to the CyPhER Forge program and broader robotics research.

You will collaborate with multidisciplinary teams, validate algorithms through simulation and hardware, publish findings at conferences, and help meet program milestones on a fixed-term basis through Oct 31, 2027.

Formación

• The PhD in Aerospace Engineering, Control Systems, Robotics, Computer Science, or related field is required or equivalent industry experience.
• Strong background in control, trajectory optimization, and machine learning.
• Experience with aircraft dynamics, flight control systems, and autonomous vehicle control.
• Experience developing large software projects (>10,000 lines of code) in Python/C++ or similar.
• Excellent communication and collaboration skills.

Responsabilidades

• Develop trajectory planning algorithms for autonomous aircraft that optimize information gathering while respecting dynamics and safety.
• Design robust control strategies bridging models to multiphysics phenomena.
• Integrate trajectory planning with control design for model discovery and uncertainty reduction.
• Develop and maintain large-scale software systems for autonomous systems research.
• Collaborate with multidisciplinary teams to validate algorithms via simulation and hardware.
• Publish research findings and present at technical conferences.
• Contribute to program milestones and DARPA CyPhER Forge deliverables.

Conocimientos

Control theory

Trajectory optimization

Machine learning

Aircraft dynamics

Flight control

Autonomous vehicle control

Python

C++

Educación

PhD in relevant field

Herramientas

ROS

Descripción del empleo

Job Posting Title:

Research Engineer - Autonomous Systems & Control

Hiring Department:

Oden Institute

Position Open To:

All Applicants

Weekly Scheduled Hours:

40

FLSA Status:

Exempt from FLSA

Earliest Start Date:

Nov 01, 2026

Position Duration:

Expected to Continue Until Oct 31, 2027

Location:

UT MAIN CAMPUS

Job Details:

General Notes

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, artificial intelligence, software engineering, and computational visualization.

The University of Texas at Austin is a nationally ranked,tier-one research institution and one of the largest employers in central Texas. UTis located in the heart of Austin, a vibrant city that frequently appears onlists of best cities to live and work. Committed to recruiting and retaining a varied and talented workforce, the university offers competitive salaries and benefits, an extensive support network, and above all, an enriching and highly collaborative community that is deeply passionate about our vision for higher education and public service.

UT Austin offers a competitive benefits package that includes:

• 100% employer-paid basic medical coverage
• Retirement contributions
• Paid vacation and sick time
• Paid holidays

Please visit our Human Resources (HR) websiteto learn more about the total benefits offered.

Must be eligible to work in the US on a full-time basis.

This position is fixed term and my be renewed annually contingent upon funding availability and satisfactory performance.

Purpose

We are seeking a talented Research Engineer to join our team. You will contribute to multiple research initiatives, including the DARPA CyPhER Forge program, where you will lead the design and development of information‑aware trajectory planning and control algorithms for autonomous aircraft systems. Beyond this core focus, you will contribute to a broader portfolio of autonomous systems projects spanning robotics, optimization, and learning‑based control methods.

Responsibilities

• Develop and implement trajectory planning algorithms for autonomous aircraft that optimize information gathering while respecting vehicle dynamics and operational safety constraints

• Design robust control strategies that bridge the gap between idealized models and real‑world multiphysics phenomena

• Integrate trajectory planning with control design to enable efficient model discovery and uncertainty reduction

• Develop and maintain large‑scale software systems for autonomous systems research and deployment

• Collaborate with multidisciplinary teams to validate algorithms through simulation, robot hardware, and experimental platforms

• Publish research findings and present results at technical conferences

• Contribute to program milestones and deliverables, including DARPA CyPhER Forge

Required Qualifications

• Ph.D. in Aerospace Engineering, Control Systems, Robotics, Computer Science, or related field (or equivalent industry experience)
• Strong background in control, trajectory optimization, and machine learning
• Experience with aircraft dynamics, flight control systems, and/or autonomous vehicle control
• Demonstrated experience developing large software projects (>10,000 lines of code) in relevant programming languages (Python, C++, or similar)
• Excellent communication skills and ability to work in collaborative environments

Preferred Qualifications

• Familiarity with Robot Operating System (ROS) and experience with robot hardware/software integration and testing
• Experience with active learning or information‑theoretic approaches to optimization, learning, and/or control
• Experience with physics‑based vehicle modeling
• Prior DARPA program experience
• Publication record in top‑tier venus

Salary Range
$120,000-$150,000

Working Conditions

• May work around standard office conditions
• Repetitive use of a keyboard at a workstation
• Use of manual dexterity

Required Materials

• Resume/CV
• 3 work references with their contact information; at least one reference should be from a supervisor
• Letter of interest

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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University‑Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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

• E-Verify Poster (English and 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 most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.