Open positions

The NeuroErgonomics Lab at the University of Wisconsin-Madison Industrial and Systems Engineering Dept seeks aspiring PhD students who want to tackle human factors challenges in BCI, HRI, NeuroStim, Wearables, and NeuroErgonomics in the Wild. If interested, please contact Dr. Ranjana Mehta with your CV and contact information of three references.

Specific open opportunities are also listed below.

  1. Student Intern (Full Stack Software Engineer)
  2. Postdoctoral Researcher

About the NeuroErgonomics Lab: Research in the NeuroErgonomics Lab utilizes theories, methods, and techniques from physiology, biomechanics, neuroscience, engineering, and psychology to better understand, monitor, and augment human health and safety in high-risk environments (emergency response, defense, energy, space explorations).

Student Intern (Full Stack Software Engineer)

Position: Student Intern

Start Date: September 2024 (in person)

Duration: 1 year

Location: NeuroergoLab, University of Wisconsin-Madison, Madison, Wisconsin, USA

We are seeking a motivated and talented EE/CS student intern to join our team at NeuroergoLab, University of Wisconsin-Madison. The intern will assist in developing ecosystem to stream, receive, synchronize, and record neural, physiological, and behavioral data streams acquired from diverse sensor hardware (such as the Apple Watch, Empatica, Oura Ring or similar) and build cross-platform applications. This is an exciting opportunity to work on cutting-edge technology and contribute to the development of a product that helps improve human-technology interactions.

Key Responsibilities

  • Collaborate with a multidisciplinary team to design and develop cross platform data collection and integration solutions, implement APIs
  • Assist in building and enhancing mobile and web applications for PVT assessments and user surveys
  • Utilize cloud-based services for data storage, processing, and analysis
  • Participate in code reviews, testing, and debugging to ensure high-quality deliverables
  • Contribute to technical documentation and user guides

Preferred Qualifications

  • Currently pursuing a degree in ECE/CS or a related field
  • Strong understanding of platform integration and experience with APIs (RESTful/GraphQL)
  • Proficiency in programming languages such as Python, C++, JavaScript, or similar
  • Experience with web app and mobile app development (iOS/Android)
  • Experience with cloud services such as AWS, Google Cloud, or Azure
  • Experience with version control systems like Git/GitHub
  • Familiarity with communication protocols such as TCP/IP, Bluetooth, MQTT, HTTP/HTTPS, WebSockets, and LabStreamingLayer (LSL)
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities

Postdoctoral Researcher

One postdoc opportunity in human state predictions (e.g., stress, learning, fatigue) in field environments using wearable neuro/physiological/behavioral sensors with the NeuroergoLab, Department of Industrial and Systems Engineering, University of Wisconsin-Madison.

Position: Post-doctoral Fellow

Start Date: September 2024 (in person)

Lab: NeuroErgonomics Lab (Director: Ranjana Mehta, PhD)

NeuroergoLab is seeking one post-doctoral fellow with a strong background in human factors and ergonomics, psychology, physiology, or CS (HCI) to lead our research portfolio on fatigue risk management in operational settings using wearables, interfaces, and behavior analytics.

Qualifications:

  • Interested candidates should have obtained a Ph.D. by the start date
  • Knowledge of human factors theories and assessment methods (performance, physiological, and subjective assessments)
  • Knowledge and experience in developing/applying computational techniques to analyze bio-behavioral data (e.g., neural, physiological, movement, or eye tracking)
  • Excellent human subjects’ experimentation skills
  • Strong programming skills
  • A strong track record of peer-reviewed publications and presentations
  • The ideal candidate will have proven talent to work independently with excellent interpersonal, communication, and mentoring skills

Contact Ranjana Mehta through LinkedIn for more information! Please send your curriculum vitae, statement of research interest, and names and contact information for two references who can be contacted for letters of recommendation to Dr. Ranjana Mehta.