At NanoChronia, we specialize in developing and commercializing cutting-edge gas sensor technology. Our mission is to transform breakthrough laboratory innovations into market-ready solutions, ensuring high performance, scalability, and regulatory compliance.
We are seeking a R&D Engineer (Ph.D.) to play a critical role in bringing our sensor technology from the research phase to full commercialization. This position requires a multidisciplinary skill set, including mechanical design, simulations, project management, and industrialization.
What You Will Do
Design and develop sensor enclosures and mechanical structures using CAD tools (SolidWorks, Creo, or equivalent).
Optimize designs for scalability, durability, and regulatory compliance (e.g. ATEX, CE, ISO standards).
Select appropriate materials and manufacturing processes for robust, cost-effective enclosures.
Together with the materials scientists, develop reactors to scale up the manufacturing process.
Perform structural, thermal, and fluid dynamics simulations to optimize product performance.
Validate mechanical and electronic designs through prototyping and laboratory testing.
Ensure that the product meets industrial safety and environmental regulations.
Lead the transition from lab-scale prototypes to commercially viable products.
Collaborate with R&D, manufacturing partners, and regulatory bodies to define production strategies.
Assist in supply chain development, ensuring manufacturability at scale.
Manage project timelines, budgets, and risk assessments for product development milestones.
Work closely with electronic, software, and materials engineers to integrate all system components.
Prepare technical reports, design documentation, and compliance files.
Support certification processes to meet industry standards and regulations.
What You Need
Ph.D. in Mechanical Engineering, Industrial Engineering, Applied Physics, or a related field.
Strong expertise in CAD modeling, enclosure design, and product industrialization.
Experience with mechanical simulations (FEA, CFD) for validation and optimization.