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Dynamical Systems Research Jobs (NOW HIRING)

Research strengths of the Department include the core mathematical areas of algebra, topology, and ... Design interpretable dynamical systems frameworks using biologically informed neural networks ...

The Research Scientist role involves developing algorithms and software to address real-world ... Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. • A ...

They are seeking a Research Scientist to develop algorithms and software that address real-world ... Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. • A ...

The Research Scientist role involves developing algorithms and software to solve scientific ... Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. • A ...

They are seeking a Research Scientist to develop state-of-the-art algorithms and software that ... Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. • A ...

They are seeking a Research Scientist to develop algorithms and software for real-world ... Dynamical Systems, Aerospace Engineering, Statistics and Probability, or a related field. • A ...

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Dynamical Systems Research information

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$36K

$68.4K

$116K

How much do dynamical systems research jobs pay per year?

As of Jun 4, 2026, the average yearly pay for dynamical systems research in the United States is $68,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Dynamical Systems Research, and why are they important?

To excel in Dynamical Systems Research, a strong background in mathematics, particularly differential equations and nonlinear systems, along with an advanced degree (often a PhD) is essential. Familiarity with computational tools such as MATLAB, Python, or Mathematica, and experience using simulation or modeling software, are typically required. Analytical thinking, problem-solving abilities, and clear scientific communication are crucial soft skills for success in this field. These skills are vital for advancing theoretical understanding, conducting rigorous research, and effectively sharing findings with both academic and applied audiences.

What are some common challenges faced by researchers in the field of dynamical systems, and how can they be addressed?

Researchers in dynamical systems often encounter challenges such as modeling complex, nonlinear phenomena, managing large datasets, and staying updated with rapidly evolving computational methods. Collaboration with interdisciplinary teams and regular engagement with conferences or workshops can help address these challenges. Utilizing advanced simulation tools and seeking mentorship from experienced researchers are also effective strategies for overcoming technical and conceptual obstacles.

What is Dynamical Systems Research?

Dynamical Systems Research is the scientific study of systems that evolve over time according to specific rules, often described by mathematical equations. Researchers in this field investigate how systems change, predict long-term behavior, and analyze stability and patterns, such as chaos or periodicity. Applications range from physics and biology to economics and engineering, helping to understand everything from weather patterns to population dynamics. This interdisciplinary field often uses tools from mathematics, computer science, and data analysis.

What is the difference between Dynamical Systems Research vs Data Scientist?

AspectDynamical Systems ResearchData Scientist
Required CredentialsAdvanced degrees in mathematics, physics, or engineeringDegree in computer science, statistics, or related fields
Work EnvironmentResearch labs, academia, or R&D departmentsTech companies, finance, healthcare, or consulting firms
Industry UsageModeling complex systems, chaos theory, nonlinear dynamicsData analysis, predictive modeling, machine learning

While both roles involve analytical skills and quantitative methods, Dynamical Systems Research focuses on understanding complex systems through mathematical modeling, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in research settings but differ in application and industry focus.

Infographic showing various Dynamical Systems Research job openings in the United States as of May 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $68,438 per year, or $32.9 per hour.
Senior / Principal Neuromorphic Systems Architect

Senior / Principal Neuromorphic Systems Architect

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Full-time

Medical, Retirement

Posted 26 days ago


Job description

The Company
Flagship Labs 119 Inc. (FL119) is an early-stage technology company pioneering a new frontier at the intersection of neuroscience and computation. We are developing next-generation technologies to transform how intelligent systems are built. We believe that the future of artificial intelligence demands a fundamental rethinking of today's paradigms. Our mission is bold and urgent: to build a future where naturalistic, robust intelligence can emerge and operate sustainably at scale.
FL119 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL119, we are uniquely cross-functional and collaborative. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.
The Role:
FL119 is seeking a creative and deeply technical Neuromorphic Systems Architect to join our team. Leveling is flexible based on experience.
This role will focus on translating nonlinear neural dynamics into next-generation computational architectures. You will work at the interface of neuroscience, dynamical systems theory, and hardware engineering to design and prototype electronic architectures that embody biologically derived principles of computation.
This is not a conventional AI accelerator role. We are seeking someone who can rethink compute from first principles, designing architectures that leverage recurrence, nonlinearity, sparsity, event-driven signaling, and adaptive dynamics as foundational primitives rather than constraints.
How You Will Contribute:
  • Formalize brain-derived computation using dynamical systems theory and translate these insights into hardware-relevant abstractions.
  • Architect novel neuromorphic or neuro-inspired hardware systems (analog, mixed-signal, in-memory, or alternative substrates).
  • Define system-level architecture, including memory models, communication schemes, and energy-efficient compute primitives.
  • Collaborate with neuroscience, signal processing, and machine learning teams to ensure tight coupling between biological insight and architectural design.
  • Lead feasibility studies, simulations, and early-stage prototyping efforts.
  • Evaluate trade-offs across CMOS, emerging devices, photonic, memristive, or other unconventional compute substrates.
  • Contribute to IP strategy, including invention disclosures and patents.
  • Help shape the long-term compute vision of the company.

Must-have Qualifications:
  • PhD (or equivalent experience) in Electrical Engineering, Applied Physics, Computational Neuroscience, Computer Engineering, or a closely related field.
  • Deep expertise in nonlinear dynamical systems and their application to computation.
  • Experience designing hardware architectures (ASIC, FPGA, analog/mixed-signal, or emerging device technologies such as RRAM, PCM, memristors, etc.).
  • Strong mathematical foundation in dynamical systems, control theory, or computational modeling.
  • Demonstrated ability to move from theory to implementable system design.
  • 5+ years of relevant research or industry experience (level dependent)

Preferred Experience:
  • Prior work in neuromorphic computing or spiking neural network hardware.
  • Experience with event-driven or asynchronous architectures.
  • Familiarity with reservoir computing, recurrent dynamical systems, or physical computing substrates.
  • Experience working in early-stage, fast-paced R&D environments.
  • Track record of patents or high-impact publications in neuromorphic systems or unconventional computing.

ABOUT FLAGSHIP PIONEERING
Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.
Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.
At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.
We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.
Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.
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The salary range for this role is $150,000 - $250,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. FL119 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL119's good faith estimate as of the date of publication and may be modified in the future.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.