Technical Analyst 1

The MIRAI Lab (Multisensory Immersive Realities and Artificial Intelligence Lab), in the Department of Computer Science at the University of New Mexico, is seeking a part-time research team member to support lab research work in human-centered computing and robotics.

The ideal candidate will have experience building and maintaining robotic infrastructure, including data and control transmission pipelines between PC and robot hardware. The work will involve reproducing and adapting locomotion, navigation, and teleoperation policies from existing research pipelines. The candidate will contribute to system development, maintain clear technical documentation, and support preparation of research findings for publication.

The ideal candidate will exhibit the following characteristics:
Ability to read and reproduce results from robotics/ML research papers and codebases
Ability to communicate technical progress clearly, both orally and in writing
Ability to manage time effectively across development and documentation tasks

Specific duties will include:
Designing and maintaining robotic infrastructure for data and control transmission between PC and robot platforms
Reproducing existing locomotion, navigation, and teleoperation policies and pipelines from published research or open-source repositories
Debugging and validating sim-to-real and sim-to-sim transfer of control policies
Maintaining version-controlled documentation of infrastructure, pipelines, and experimental configurations
Assisting with preparation of research documentation, technical reports, and manuscripts for publication
Coordinating with lab members (PhD and MS students) on shared infrastructure and pipeline dependencies

See the Position Description for additional information.

• Specialty licensure/certification may be required, as specified by the department.
• Successful candidate may be subject to a criminal background check prior to starting work.

Bachelor's degree; at least 6 months of progressively responsible experience directly related to the duties and responsibilities specified.

Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.

Experience with robot platforms (e.g. ROS/ROS2) and real-time control/communication protocols
Experience with physics simulation environments (Isaac Sim, MuJoCo, or similar)
Familiarity with locomotion/navigation policy reproduction (e.g., RL-based controllers, imitation learning pipelines)
Experience with teleoperation systems (human operator input to robot control)
Experience with sim-to-real or sim-to-sim transfer techniques
Prior involvement in research documentation or academic publication preparation
Proficiency in Python and/or C++

Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.

Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.

The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.

The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280.html. Refer to https://policy.unm.edu/university-policies/3000/3200.html for a definition of Regular Staff.