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Simulation Phd Jobs in Michigan (NOW HIRING)

McLaren

Medical Physicist

Mount Clemens, MI · On-site

Technologies The centers have three Varian TrueBeams and 1 Varian Trilogy, 3 CT Simulators (1 ... Master's or PhD degree in medical physics or related discipline. * Board Certified or eligible for ...

McLaren

Medical Physicist

Mount Clemens, MI · On-site

Technologies The centers have three Varian TrueBeams and 1 Varian Trilogy, 3 CT Simulators (1 ... Master's or PhD degree in medical physics or related discipline. * Board Certified or eligible for ...

McLaren Macomb

Medical Physicist

Mount Clemens, MI

Technologies The centers have three Varian TrueBeams and 1 Varian Trilogy, 3 CT Simulators (1 ... Master's or PhD degree in medical physics or related discipline. * Board Certified or eligible for ...

McLaren Macomb

Medical Physicist

Mount Clemens, MI · On-site

Technologies The centers have three Varian TrueBeams and 1 Varian Trilogy, 3 CT Simulators (1 ... Master's or PhD degree in medical physics or related discipline. * Board Certified or eligible for ...

May Mobility

Director, Data Science

Ann Arbor, MI · On-site

Responsibilities : • Set and own the data science strategy across simulation and synthetic data ... Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a ...

McLaren

Medical Physicist III

Lansing, MI · On-site

Phillips CT Simulators are nearly universal with several Canon CTs to be installed in the next two ... or PhD degree in medical physics or related discipline. • Certified in therapeutic medical ...

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Simulation Phd information

What is a Simulation PhD?

A Simulation PhD is a doctoral degree focused on the development, application, and analysis of simulation techniques across various fields such as engineering, physics, computer science, or healthcare. Students in this program conduct advanced research to create or improve models that simulate real-world processes or systems. The degree typically involves coursework, comprehensive exams, and an original dissertation contributing new knowledge to the field of simulation. Graduates often pursue careers in academia, research, industry, or government, where they apply simulation to solve complex problems.

What are the key skills and qualifications needed to thrive as a Simulation PhD?

To thrive as a Simulation PhD, you need advanced expertise in simulation modeling, mathematics, and data analysis, usually supported by a doctoral degree in a relevant field such as engineering or computer science. Proficiency with technical tools like MATLAB, Simulink, Python, or specialized simulation software, along with experience in programming and statistical analysis, is essential. Strong problem-solving skills, critical thinking, and effective communication are crucial soft skills for collaborating with interdisciplinary teams and presenting complex results. These abilities are important to drive innovation, ensure accurate research outcomes, and translate simulation results into practical solutions.

What are the typical research collaboration opportunities available to a Simulation PhD within academia or industry?

Simulation PhD holders often work closely with multidisciplinary teams, including engineers, computer scientists, and domain experts, to develop and validate complex models. In academia, collaboration may involve joint research projects, co-authored publications, or participation in research consortia. In industry, Simulation PhDs might partner with product development teams, data analysts, or IT professionals to solve real-world problems and optimize processes. These collaborations not only enhance research impact but also provide valuable networking and career advancement opportunities.

What job categories do people searching Simulation Phd jobs in Michigan look for?

The top searched job categories for Simulation Phd jobs in Michigan are:

What cities in Michigan are hiring for Simulation Phd jobs?

Cities in Michigan with the most Simulation Phd job openings:

Simulation Phd jobs near you

Senior Autonomy Release Engineer II

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 18 days ago

Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Senior Autonomous Release Engineer, you will lead the solution of challenging and complex problems facing vehicle autonomy, ensuring that software is safe, well-understood, and performs reliably in real-world conditions.
Responsibilities:
• Release ownership and release execution end-to-end across:
• Major autonomy releases
• Incremental/performance releases
• Hotfix/safety patches
• Manage branching strategy, versioning, and release cut processes
• Drive release readiness and go/no-go decisions
• Partner cross-functionally with Autonomy, Infra, Validation, and Fleet Ops
• Act as a system owner for release readiness
• Investigate and resolve complex issues arising from:
• Software/hardware interactions
• Distributed systems behavior
• On-vehicle vs simulation discrepancies
• Develop deep understanding of:
• Sensor stack, middleware, autonomy stack
• Compute platforms, networking, configurations
• Be the go-to for:
• “Why does this fail in the real world?”
• “What changed between releases?”
• Enforce stage-gated release framework:
• Feature Complete → Code Freeze → Validation → Release Candidate
• Integrate validation signals:
• Simulation corpus results
• Regression testing
• Vehicle testing (HIL / on-road)
• Ensure safety-critical issues are identified, tracked, and gated
• Take initiative to find and permanently solve challenging system level issues caused by the interplay between different software and hardware components.
• Collaborate and lead system-wide improvements when working with other teams without having direct ownership or management responsibility.
• Assess and develop approaches that scale and improve performance in a variety of ways (e.g. CPU performance, memory usage, disk usage, network usage).
• Assess and improve system robustness to systematic stochastic and transient issues that impact autonomous vehicle performance.
• Support other autonomy engineers in designing and integrating their components with the full May system.
Qualifications:
Required:
• 7+ years in autonomous systems, release engineering, and DevOps
• Strong Python and scripting skills
• Working knowledge or familiarity with C/C++
• Experience working across full product lifecycle
• Proven ability to debug complex system-level issues
• Strong communication skills across technical domains
Preferred:
• 10+ years of experience in autonomous robotic systems, DevOps and release engineering
• Experience with autonomous cars, trucks, or similar vehicles.
• A masters or PhD degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field.
• Previous experience in a startup or high performance research and development group with an emphasis on delivery
• Experience with AV or robotics systems
• Familiarity with: Simulation frameworks, HIL / vehicle testing, Safety-critical systems (ISO 26262, SOTIF)
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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