In this exciting role, you will serve as part of an integrated team of computational and data scientists to design and deliver novel zeroth-order mathematical optimization and machine learning algorithms, models, and software to accelerate scientific discovery. What You Will Do: Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems. Collaborate in the development and application of software instantiations of numerical algorithms. Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences. Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions. Engage and interact with multidisciplinary science and engineering teams. What is Required: Ph.D. degree in applied mathematics, computer/computational science, data science, operations research, or a related field is required. Fundamental knowledge of mathematical optimization, statistics, or machine learning. Demonstrated experience in designing or applying computational methodologies. Ability to work effectively in a team. Demonstrated ability to prepare research results for publication and presentation or to prepare software for use by others. One or more of: Analyzing mathematical/statistical algorithms. Designing randomized, stochastic, or derivative-free algorithms. Developing parallel algorithms and software. Experience with machine learning applications and development. Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/ Notes: This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree. This position is represented by a union for collective bargaining purposes. The monthly salary range for this position is $6431-$8642 and is expected to start at $7843 or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral experience. This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work may be performed on-site, hybrid. The primary location for this role is Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work must be performed within the United States. Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. #J-18808-Ljbffr
Postdoc: Zeroth-Order Optimization & ML Research • Berkeley, CA, United States
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