Internship: Machine learning for pose estimation

• Lausanne, Switzerland


• Intern

Company Description

MindMaze is the world’s leading neurotechnology start-up pioneering a breakthrough computing platform that captures brain activity upon intent, creating a new operating system for computers (a Mind-OS) and a new generation of brain computer interface products, using virtual reality (VR), augmented reality (AR) and A.I. Based on a decade of rigorous testing in the healthcare industry, the company has designed intuitive mind/machine interfaces, which utilize pre real-time decoding of brain signals and is able to track fine movements and gestures. Its innovations are poised to transform industries, starting with healthcare and gaming.  Its first generation products (MINDMOTION™ Pro and MINDMOTION™ Go) are aimed at rehabilitation following neurogolical incidents.

Join our eclectic mix of scientists, physicists, engineers and clinicians, and grow with MindMaze.

Job Description

Mindmaze is developing exciting new technologies in motion capture for the medical devices market and beyond. As a member of the motion capture team, you'll help us develop and test new algorithms

using state-of-the art computer vision and machine learning techniques, across the full stack from literature review to implementation and testing.

You will:

• Ensure up to date knowledge about the latest technology evolution and perform a full literature review;


• Implement required algorithms;


• Adapt existing algorithms;


• Acquire training and testing datasets;


• Test, validate and refine algorithms.

To support you, MindMaze will:

• Provide an international collaborative work environment.


• Provide mentoring.


• Allow flexible employment terms and conditions.

Qualifications

To be successful you can illustrate the fact that you have the following abilities:

• Working autonomously: setting tasks and direction under limited supervision;


• Oral and written communication: ability to write clearly and succinctly in a variety of communication settings and styles; ability to get messages across that have the desired effect;


• Quick learner: Rapidly find your marks working with new algorithms and tools, and quickly establish yourself as an expert your domain;


• Planning accurately: setting objectives and goals; breaking down work into the process steps; developing schedules and task/people assignments; anticipating and adjusting to problems and roadblocks.

Skills that we look out for are among:

• BSc or MSc in computer science or equivalent (math, physics, or other engineering discipline welcome);


• Good general culture in at least some of the following: computer vision, machine learning, neural networks;


• Strong mathematical skills;


• Good programming skills in at least one of the following: C, C++, C#, Python;

Skills that make a difference:

• Experience with computer vision, machine learning or deep learning frameworks;


• Experience with motion capture environments;


• Working experience with Computer vision;


• Demonstrable interest for development outside the working environment (e.g. Personal
  
  projects, blogger, Open Source (github), scientific papers, StackOverflow, etc.).

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