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Postdoctoral Research Associate, Electrical and Computer Engineering
Postdoctoral Research Associate, Electrical and Computer EngineeringUniversity of Arizona • Tucson, AZ, United States
Postdoctoral Research Associate, Electrical and Computer Engineering

Postdoctoral Research Associate, Electrical and Computer Engineering

University of Arizona • Tucson, AZ, United States
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Postdoctoral Research Associate, Electrical and Computer Engineering

Posting Number

req24051

Department

Electrical and Computer Engr

Department Website Link

https : / / ece.engineering.arizona.edu /

Location

Tucson Campus

Address

1230 E. Speedway Blvd., Tucson, AZ 85721 USA

Position Highlights

The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to work with Dr. Ehsan Azimi.

We invite qualified candidates to join our group and participate in cutting-edge research. The chosen candidate will advance research at the intersection of robotics, control & prototyping, and AI / ML. The Postdoc will design, implement, and evaluate robotic systems - including real-time control stacks - and develop learning-enabled perception, planning, and vision-language model (VLM) pipelines. The role includes disseminating results via publications, patents, demos, and grants, in addition to mentoring students and contributing to course modules / workshops in robotics and related topics.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA / ASU / NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here .

Duties & Responsibilities

  • Lead, design, build and test cycles for robotic platforms and experimental rigs; develop real-time control (e.g., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking.
  • Architect high-quality research codebases in C++ / Python / C# (e.g., ROS / ROS 2, RT frameworks, Unity / Unreal integration as needed); implement data pipelines, simulation, and CI / testing; maintain reproductible artifacts and documentation.
  • Mentor undergraduate and graduate students; develop short course modules and / or run workshops in Robotics / AI / Control; support inclusive team culture and lab best practices.
  • Lead and co-author journal / conference

papers; prepare manuscripts for publication in peer-reviewed journals; create

compelling presentations / demos and contribute to IP (invention disclosures and

patents); present research at national and international conferences.

  • Contribute to proposal
  • development and grant writing (including preliminary data, methods, budgets

    text); prepare progress reports, and coordination with internal / external

    collaborators; interface with sponsors where applicable.

  • Foster collaborations
  • within the Department, with other units across the University, and with team

    members at other institutes.

  • Participate and
  • contribute to meetings with industry, academia and sponsors.

  • Additional duties as assigned.
  • Knowledge, Skills, and Abilities

  • Strong analysis
  • skills, research, and technical writing skills.

  • Ability to communicate
  • professionally in a clear, concise manner orally and in writing.

  • Knowledge of prototyping, specifically control (PID, MPC, optimal / robust, learning-augmented); perception &
  • planning; sensor fusion; calibration; system identification.

  • Programming skills, including C++,
  • Python, C#; ROS / ROS 2; Git; Linux; build systems (CMake);
  • real-time / latency-aware coding; simulation (Gazebo / Isaac / Unity / Unreal as

    applicable).

  • Knowledge of experimental design, statistics, ablation studies, replicable pipelines,
  • technical writing.

  • Ability to create clear presentations and use strong interpersonal skills with a collaborative
  • mindset; effective mentoring.

    Minimum Qualifications

  • PhD in Robotics, Electrical & Computer Engineering, Mechanical Engineering, Biomedical Engineering, Computer Science, or closely related field.
  • Must have PhD conferred upon hire.
  • Preferred Qualifications

  • Hands-on experience integrating hardware + software for robots (arms, mobile, mechatronics) and real-time control.
  • Experience in computer vision, multimodal perception, or foundation models (VLMs / LLMs) applied to robotics.
  • Track record of patent contributions and / or technology transfer.
  • Experience preparing grants (NSF / NIH / DoD / industry) and coordinating collaborative deliverables.
  • Prior experience mentoring / teaching, curriculum or workshop development.
  • Experience with safety standards for robotics labs and human-robot interaction studies.
  • Experience with CUDA / accelerators; optimization; SLAM; tactile / force control; AR / XR interfaces; Unity / C# for robotics visualization; DevOps / containers.
  • Experience with AI / ML : Deep learning for vision / perception; VLMs and LLM tooling; dataset curation; evaluation / benchmarks; basic MLOps.
  • FLSA

    Exempt

    Full Time / Part Time

    Full Time

    Number of Hours Worked per Week

    40

    Job FTE

    1.00

    Work Calendar

    Fiscal

    Job Category

    Research

    Benefits Eligible

    Yes - Full Benefits

    Rate of Pay

    NIH salary guidelines-Depends on Experience

    Compensation Type

    salary at 1.0 full-time equivalency (FTE)

    Type of criminal background check required :

    Name-based criminal background check (non-security sensitive)

    Number of Vacancies

    Target Hire Date

    Expected End Date

    Contact Information for Candidates

    Ehsan Azimi

    eazimi@arizona.edu

    Open Date

    10 / 6 / 2025

    Open Until Filled

    Yes

    Documents Needed to Apply

    Curriculum Vitae (CV) and Cover Letter

    Special Instructions to Applicant

    Notice of Availability of the Annual Security and Fire Safety Report

    In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.

    Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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