Data Scientist: Optimization of Complex Systems
1 week ago
The Mathematics and Computer Science Division at Argonne National Laboratory is seeking a highly skilled data scientist to perform research in computational mathematics and optimization. In this role, you will analyze and implement algorithms for solving complex optimization problems using digital twins to model systems.
Key areas of focus include data assimilation and control for self-assembly systems, optimal experimental design, and control for autonomous devices. You will collaborate with leading scientists in applied mathematics and computer science, leveraging cutting-edge extreme-scale computing facilities to drive innovation.
About the OpportunityThis postdoctoral position offers a unique opportunity to contribute to numerical software development and explore high-performance computing environments. As a member of our team, you will be part of a collaborative, open-science environment where researchers from diverse backgrounds engage in solving fundamental and practical problems.
About UsArgonne National Laboratory is an equal employment opportunity and affirmative action employer committed to diversity and inclusion. We foster a workplace that promotes respect, integrity, safety, and teamwork, and encourage minorities, women, veterans, and individuals with disabilities to apply.
Requirements- PhD in applied mathematics, statistics, computer science, or a related field within the last 0-5 years
- Experience in nonlinear optimization, PDE-constrained optimization, machine learning, or optimal control
- Strong programming skills and experience with high-performance computing environments
We offer a competitive salary range of $80,000-$120,000 per year, depending on experience, plus comprehensive benefits including health insurance, retirement plans, and paid time off.
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