Recovered Potential

Details

Positions: R&D Intern - Process Modeling, Control, and Automation
Location: Menlo Park, CA
Innovation Area: Energy, Food, and Water Nexus; Environment and Health; Materials and Chemicals
Position Type: TomKat Center-supported; Industry-supported
Compensation: $8,500
Internship Term: 8 weeks

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Recovered Potential builds compact, electrochemical systems that recover nutrients and remove pollution – turning waste into value for industries and cities worldwide. Our electrochemical stripping (ECS) system recovers nitrogen from wastewater using charge and volatility – not biology – and provides a revolutionary alternative to existing treatment options. The technology is based on 8+ years of research conducted in the Tarpeh lab at Stanford University and is now being further developed in our lab space located in Menlo Park.

Responsibilities

  • Learn lab safety, experiment, and data analysis procedures from designated mentors.
  • Understand the core technology process and conduct relevant physiochemical measurements (e.g., conductivity and pH measurements) in lab.
  • Work with process modeling mentor to understand and iterate on process model in response to experimental outcomes.
  • Work with the experimental team to design and employ a control system that integrates real-time measurements (pH, conductivity, etc.), data logging, decision-making algorithm and electrochemical experiment control (current, voltage, etc.).
  • Analyze and discuss results with mentors regularly.
  • Attend relevant group and sub-group meetings and give a final presentation at the conclusion of internship.
  • Fulfill expectations from the TomKat Center internship program.

Who Should Apply

Rising sophomores or above who are passionate about applying their control and automation skillsets to sustainability research and acquiring hands-on industrial research experience.

Required Expertise

  • Scientific integrity and collaborative spirit.
  • Familiarity with electronics & circuit fundamentals.
  • Familiarity with hardware control programming using Python, C/C++, or equivalent tools.
  • Data recording and scientific communication skills.

Preferred Skills/Majors

  • Experience working with customizable experiment control hardware and software platforms, e.g., Arduino, LabVIEW.
  • Familiarity with hardware integration and industrial automation.
  • Basic knowledge about electrochemical systems and/or chemical engineering processes.
  • Preferred majors: Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Materials Science and Engineering.