Location: East Rocky Hill, NJ
Salary: $55.00 USD Hourly - $58.00 USD Hourly
Description: Our client is currently seeking a Data Analysis&Simulation Professional
Machine learning / AI / Data Analysis&simulation Professional
Princeton, NJ 08540
Contract | 6+ Months
Hours of the Shift: 8AM- 5PM
Role Overview
This position is designed for an advanced researcher/engineer who will push the boundaries of simulation technologies and apply them to strategic goals in automation, energy efficiency, and sustainability. It's a mix of hands-on technical innovation and collaboration with business units/customers.
Key Responsibilities
Research & Innovation: Develop next-generation physics-based simulation methods across design, control, manufacturing, and operations.
AI/ML Integration: Embed optimization and machine learning into simulation workflows for better performance prediction, manufacturability, and reliability.
Digital Twin Development: Build digital twin applications for mechatronics products.
Physics Expertise: Apply knowledge of heat transfer, structures, circuits, fluid dynamics, electromagnetism, etc.
Domain Applications: Contribute to verticals like automotive, aerospace, manufacturing, or buildings.
Collaboration: Work with business units to identify gaps, align with customer needs, and transition research into products.
Communication: Present and explain technical results internally and externally (conferences, customer meetings).
IP & Publications: Protect innovations via patents and publish in top journals/conferences.
Basic Qualifications
Education: Ph.D. or M.S. in Mechanical, Aerospace, Electrical Engineering, Physics, or related.
Experience:
4+ years in simulation, optimization, applied AI.
2+ years in product design & operation.
4+ years coding in Python & C++.
Skills:
Strong customer orientation & stakeholder management.
International project team experience.
Excellent English communication (written & verbal).
Candidate Profile
This role is ideal for someone who is:
A researcher-engineer hybrid with both theoretical depth and practical product experience.
Comfortable working across physics domains and applying them to real-world industries.
Skilled in programming (Python/C++) and integrating AI/ML into engineering workflows.
Interested in digital twins and sustainable innovation.
Ready to collaborate globally and communicate complex ideas to diverse audiences.
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Contact:
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: cxjudgpa
- Position Id: 1115473
- Posted 17 days ago
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