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Postdoctoral Researcher/ Robotics Scientist

Animal Inspired Movement and Robotics Laboratory
Boulder, CO Full Time
POSTED ON 3/15/2025
AVAILABLE BEFORE 4/13/2025

The Animal Inspired Movement and Robotics Lab (AIMRL, led by Prof. Kaushik Jayaram, https://www.colorado.edu/lab/jayaram) seeks a postdoctoral researcher/ full stack robotics engineer with overlapping experience in control theory/machine learning/artificial intelligence/ embedded programming to develop autonomous solutions for non destructive evaluation using collaborative insect-scale robots. Please see our publication about the technology: https://www.science.org/doi/full/10.1126/scirobotics.aau3038

A successful candidate must be flexible to ensure meeting deliverables for a fast-paced, deadline-oriented project (and be able to start Jun 1 or later; with funding available for upto 2.5 years).

We are actively seeking candidates with US Citizenship/Permanent residence due to the nature of funding. Additional preference will be given to candidates with experience in industrial automation and strong interest in translating university research into products (as a startup cofounder, etc.), and potentially those from and underrepresented backgrounds.


Qualified applicants should respond by email to Prof. Kaushik Jayaram (Kaushik.jayaram@colorado.edu). Please include in the email the following:

1) Description of qualifications and explain why they would be an ideal fit,

2) Academic background,

3) Ph.D. thesis,

4) Publications (please include pdf's of up to three relevant publications),

5) Career goals (and interest in translating academic research into industrial products), and

6) Availability.

7) Names of up to three contacts for recommendation letters should be provided.


Initial appointments will be for one year with the possibility of extension. The preferred start date is summer or fall, but it can be negotiated.


Responsibilities

  • Developing real-time control algorithms for onboard (using low power microcontrollers) navigation and sensing.
  • Developing backend and frontend interfaces for multi-agent robot coordination.
  • Assisting with design and fabrication custom electronics solutions for microrobot system sensing and control.
  • Assisting with IP generation, fundraising (SBIR/STTR, etc) and scientific publications.



Qualifications

  • PhD in robotics, (applied) controls, machine learning/AI or a related field or equivalent (5 years in industry in related field).
  • Prior industry/start up experience in developing hardware and software geared towards low SWaP systems (e.g. locomotion control (MPC) or machine learning (TinyML) on microcontrollers or neuromorphic designs).
  • Experience with NDE/ medical imaging or related is preferred.

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