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美国阿贡国家实验室2025年博士后招聘(计算统计)

信息来源:美国阿贡国家实验室 | 作者:博士后招聘网 | 时间:2025-08-20 10:52

美国阿贡国家实验室2025年博士后招聘(计算统计)

Postdoctoral Researcher – Computational Statistics

Argonne National Laboratory

Location: Lemont, USA

Job Number: 7312720 (Ref #: 420808)

Posting Date: Newly posted

Job Description

Argonne is a multidisciplinary science and engineering research center, where talented scientists, engineers, and business professionals work together to answer the biggest questions facing humanity. Ever since we were born out of the University of Chicago’s work on the Manhattan Project in the 1940s, our goal has been to make an impact — from the atomic to the human to the global scale.

At Argonne, we explore the world together in order to build a better one. You are encouraged to visit www.anl.gov to learn more about who we are and how you can make an impact on the world!

Argonne National Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization methods that aim to transform scientific discovery and leverage high-performance computing.

Specifically, this will include research in:

1. Developing large-scale agent-based and other complex systems models;

2. Statistical methods, analysis, and inference for large-scale computational simulator applications;

3. Uncertainty representation, quantification and propagation; and

4. Scalable data science methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources.

Application areas include:

1. Epidemiology,

2. Energy infrastructure, and

3. Urban systems.

The postdoctoral appointee will contribute to at all stages of the implementation of the resulting methods from prototyping in high-level languages to the development in high-performance computing environments. They will work with a team of researchers in the Decision and Infrastructure Sciences Division at Argonne and be part of interdisciplinary collaborations with other Argonne divisions, national laboratories, universities and industry partners.

Position Requirements

Knowledge in the following four areas:

1. Modern methods for developing large-scale agent-based models, particularly for epidemiological applications;

2. Data science and large-scale data analysis in high performance computing environments;

3. Optimization, uncertainty quantification, and statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and

4. Open-source scientific software development.

Expertise in computational statistics and uncertainty quantification (Bayesian analysis, data assimilation, Gaussian process modeling), and their application to complex systems modeling.

Experience in developing and applying statistical algorithms and software for large-scale scientific applications.

Expertise in programming in a high-level language such as R or Python.

Experience and skills in interdisciplinary research involving mathematicians, computational scientists, and discipline scientists.

Should be able to interact effectively with members of a multidisciplinary team.

Collaborative skills, including the ability to work well with scientists at other laboratories and universities.

Should be able to develop, high-quality scientific reports.

Independent judgment and the ability to abstract from specific problems to general solutions.

Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

To perform the essential functions of this position successful applicants must provide proof of U.S. citizenship, which is required to comply with federal regulations and contract”

This level of knowledge is typically achieved through a formal education in a related field at the PhD level with zero to five years of employment experience.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $70,758.00-$117,925.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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.

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