Postdoctoral Associate in Numerical Optimization for Design of Experiments
- Argonne National Laboratory
- Location: Lemont, USA
- Job Number: 7196904 (Ref #: 416874)
- Posting Date: Nov 30, 2023
Job Description
The Laboratory for Applied mathematics, Numerical software, and Statistics (LANS) and the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invite applicants for a postdoctoral position in the area of numerical optimization. You will investigate and develop new algorithms for solving dynamic optimization problems with applications to sequential design of experiments, motivated by problems arising from various imaging techniques.
Candidates interested in advancing developments in numerical optimization (especially dynamic optimization), active learning, and design of experiments for challenging large-scale data analysis, with interesting and real applications, will find a stimulating environment at the laboratory. Candidates should have been or soon will be awarded a doctoral degree in applied mathematics, statistics, computer science, machine learning or related areas. Knowledge is desired in one or more of mathematical optimization, inverse problems, scientific computing, and/or machine learning.
Position Requirements
Required skills:
- A completed or soon-to-be completed PhD (typically within the last 0-3 years) in mathematics or a related discipline (e.g. computer science, engineering).
- Experience in mathematical optimization, machine/deep learning, and scientific computing.
- Effective verbal and written communication skills.
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.
Desirable knowledge and skills:
- Software development practices for large-scale computation and data-intensive problems.
Job Family
Postdoctoral FamilyJob Profile
Postdoctoral AppointeeWorker Type
Long-Term (Fixed Term)Time Type
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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.
