3 Opensim Jobs

About Quin Quin is redefining smart safety with real-time event detection and data-driven response systems that save lives. We embed our proprietary technology into helmets and wearables through B2B partnerships with global brands. With a strong foothold in motorcycling and a strategic focus on Cycling and Industrial Safety, our technology is already trusted by top names across the U.S. and Europe. We’re a fast-moving, purpose-driven team building industry-leading technology that brings intelligence into safety gear. About The Role We’re looking for a hands-on Machine Learning Engineer with 3–5 years of experience to join our growing R&D team. You’ll play a critical role in developing and optimizing models that analyze real-time sensor data to extract meaningful patterns, trends, and insights. Your work will directly impact core product features used in real-world applications. This role requires strong data intuition, experience with time-series or sensor-based data, and a desire to build robust and scalable ML systems. You’ll collaborate with hardware, software, and domain experts to bring end-to-end solutions to life. Key Responsibilities Analyze and model real-time sensor data to detect events, classify patterns, and predict behaviors. Develop and fine-tune ML models for time-series data using supervised and unsupervised techniques. Work on feature engineering pipelines that include signal processing, data normalization, and transformation. Collaborate with cross-functional teams (e.g., hardware, firmware, mechanical) to understand data sources and context. Contribute to the deployment of ML models in real-time systems, ensuring performance and reliability. Design experiments, perform exploratory data analysis, and evaluate model accuracy and robustness. Communicate insights and findings to both technical and non-technical stakeholders. Basic Qualifications B.Tech. or M.S. in Computer Science, Data Science, or a related field. 3–5 years of experience working on machine learning, data science, or applied AI projects. Proficiency in Python and common ML/data libraries (e.g., scikit-learn, Pandas, NumPy, TensorFlow/PyTorch). Solid experience working with real-time or time-series data from sensors (IMUs, force sensors, accelerometers, etc.). Strong understanding of pattern recognition and statistical modeling techniques. Familiarity with digital signal processing techniques such as filtering, FFTs, and feature extraction. Preferred Qualifications Understanding of kinematics and biomechanical data analysis. Prior experience in gait analysis, movement science, or human activity recognition is a strong plus. Knowledge of sensor fusion and multi-modal data integration. Experience deploying models in production or on embedded systems. Familiarity with tools like MATLAB, SciPy, or OpenSim is helpful.

Birla Institute of Technology & Science, Pilani K K Birla Goa Campus, India Project Associate position in the government funded research project Applications are invited for the position of Project Associate-1 in the Department of Mechanical Engineering at BITS Pilani, K. K. Birla Goa Campus, for a Department of Health Research (DHR) sponsored research project (R.11017/14/2023-GIA/HR) titled “ Design, development and performance investigation of neck exoskeleton in prevention and reduction of the neck pain.” Principal Investigator: Dr. Ganesh M. Bapat (https://www.bits-pilani.ac.in/goa/ganeshm/Profile ) Co-PI: Prof. Jajati K. Sahoo Broad area of Research: Mechanisms design and synthesis, Biomechanics, Optimization, Product Design, Finite element simulations Project duration: 3 years Fellowship (Rs.): 31,000 pm+ 9% HRA for eligible candidates Last date of Application: Rolling advertisement (1st round of processing by 22nd June 2025) Qualification : Bachelors in Engineering andpostgraduate degree (M.E./M.Tech./M.S.) with first class in Mechanical Engineering/Biomedical Engineering/Biomechanics. Required Skills: Fundamental knowledge of mechanisms design, applied mechanics, basic optimization techniques, CAD modelling, product design and programming skills. Desirable Skills: Passion for problem-solving usinghands-on and mathematical modeling approaches using ANSYS/ OpenSim etc. Knowledge about Biomechanics and musculoskeletal simulations is optional at this stage, but the candidate should be interested in learning the same . Aspiration to pursue PhD on the project topic is desirable. Benefits: Research training in the cutting-edge area of Biomechanics with excellent research facilities. Potential to initiate start-up in the project domain . Hostel or Married scholar accommodation will be provided subject to availability and per the institute's rules and regulations. The selected candidate will be encouraged to apply for a full-time PhD program at BITS Pilani, K. K. Birla Goa Campus, as per the institute norms. How to Apply: Interested candidates should send a cover letter mentioning their motivation for this position and a detailed curriculum vitae mentioning past research/industrial experience to the principal investigator (email: ganeshm@goa.bits-pilani.ac.in ), preferably before 17th June 2025 . Shortlisted candidates will be contacted via e-mail within 1 week of the application deadline for online/personal interview to be held at BITS Pilani, Goa Campus. No TA/DA will be paid for the interview. Job Type: Full-time Pay: From ₹31,000.00 per month Education: Master's (Required) Work Location: In person Application Deadline: 17/06/2025

Birla Institute of Technology & Science, Pilani K K Birla Goa Campus, India Project Associate position in the government funded research project Applications are invited for the position of Project Associate-1 in the Department of Mechanical Engineering at BITS Pilani, K. K. Birla Goa Campus, for a Department of Health Research (DHR) sponsored research project (R.11017/14/2023-GIA/HR) titled “ Design, development and performance investigation of neck exoskeleton in prevention and reduction of the neck pain.” Principal Investigator: Dr. Ganesh M. Bapat (https://www.bits-pilani.ac.in/goa/ganeshm/Profile ) Co-PI: Prof. Jajati K. Sahoo Broad area of Research: Mechanisms design and synthesis, Biomechanics, Optimization, Product Design, Finite element simulations Project duration: 3 years Fellowship (Rs.): 31,000 pm+ 9% HRA for eligible candidates Last date of Application: Rolling advertisement (1st round of processing by 22nd June 2025) Qualification : Bachelors in Engineering andpostgraduate degree (M.E./M.Tech./M.S.) with first class in Mechanical Engineering/Biomedical Engineering/Biomechanics. Required Skills: Fundamental knowledge of mechanisms design, applied mechanics, basic optimization techniques, CAD modelling, product design and programming skills. Desirable Skills: Passion for problem-solving usinghands-on and mathematical modeling approaches using ANSYS/ OpenSim etc. Knowledge about Biomechanics and musculoskeletal simulations is optional at this stage, but the candidate should be interested in learning the same . Aspiration to pursue PhD on the project topic is desirable. Benefits: Research training in the cutting-edge area of Biomechanics with excellent research facilities. Potential to initiate start-up in the project domain . Hostel or Married scholar accommodation will be provided subject to availability and per the institute's rules and regulations. The selected candidate will be encouraged to apply for a full-time PhD program at BITS Pilani, K. K. Birla Goa Campus, as per the institute norms. How to Apply: Interested candidates should send a cover letter mentioning their motivation for this position and a detailed curriculum vitae mentioning past research/industrial experience to the principal investigator (email: ganeshm@goa.bits-pilani.ac.in ), preferably before 17th June 2025 . Shortlisted candidates will be contacted via e-mail within 1 week of the application deadline for online/personal interview to be held at BITS Pilani, Goa Campus. No TA/DA will be paid for the interview. Job Type: Full-time Pay: From ₹31,000.00 per month Education: Master's (Required) Work Location: In person Application Deadline: 17/06/2025