Responsibilities

Design, build, instrument, and maintain test rigs, fixtures, and experimental setups for robotic drywall-finishing trials.
Integrate sensors, end-of-arm tooling, actuators, and data-acquisition hardware, including wiring, mounting, calibration, and upkeep.
Debug systems across mechanical, electrical, embedded, and software layers, keeping setups repeatable and in a known-good state.
Improve setup designs to make experiments faster, cleaner, and easier to reproduce.

Design and run controlled experiments using hypothesis-driven and design-of-experiments approaches.
Identify independent, dependent, controlled, and confounding variables.
Maintain repeatability and reproducibility in measurement workflows and distinguish real effects from setup noise.
Analyze interactions across robot arms, end effectors, sensors, surface materials, and motion parameters.
Document observations in experiment logs, test reports, and result summaries that support engineering decisions.

Automate test and measurement protocols using ROS 2 and Python.
Script robot motion sequences, parameter sweeps, and data capture with minimal manual intervention.
Build tooling for automated data collection, logging, and first-pass analysis.
Support data collection from end-of-arm systems with advanced sensors, from wiring and drivers through to structured datasets.

Requirements

B.E., B.Tech, M.E., or M.Tech in Mechanical, Mechatronics, Robotics, Electrical/Electronics, Instrumentation, Industrial, Aerospace, or Systems Engineering; candidates from Applied Sciences or Experimental Physics with strong hands-on engineering experience may also be considered.
Approximately 2 years of hands-on robotics and automation experience across varied projects.
Experimentation experience in a lab, R&D, or test-engineering environment.
Working knowledge of ROS 2, including nodes, topics, launch files, and basic packages.
Ability to write production-quality-enough Python for automation, data capture, and analysis.
Basic embedded-systems knowledge, including microcontrollers, sensor interfacing, UART, I2C, SPI, and CAN.
Ability to read datasheets and interface sensors.
Hands-on competence with electromechanical assemblies, sensors, instrumentation, wiring, and calibration.
Understanding of experimental methods, statistics, design of experiments, control systems, and system design.
Ability to perform statistical analysis and interpretation of engineering data from physical trials.
Strong documentation skills.
Comfort working across disciplines and on unsolved problems.

Experience with industrial or collaborative robot arms such as UR, KUKA, ABB, or Fanuc, including motion programming and integration.
Imaging-based experimentation, computer vision, machine vision, optical measurement, or laser-based measurement.
Designing test setups, instrumentation chains, or validation workflows from scratch.
Force/torque sensors, IMUs, depth cameras, encoders, or other advanced sensing integrated into a data pipeline.
Data-acquisition systems, real-time logging, or time-synchronized multi-sensor capture.
Excel, Google Sheets, NumPy, pandas, matplotlib, or MATLAB for experiment logging, analysis, and plotting.
CAD tools such as SolidWorks, Fusion 360, or Onshape.
Git and documentation tools such as Notion, Confluence, Jira, or Google Docs.
Simulation environments such as Gazebo or Isaac Sim.
Coatings, surface finishing, or abrasives.