Machine Learning Postdoctoral Fellow - 96992
·
Lawrence Berkeley National Laboratory
·
Berkeley, CA 94720
SessionJob Postings
DescriptionMachine Learning Postdoctoral Fellow - 96992
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) and Physics Division at Berkeley Lab (LBNL, https://www.lbl.gov/) are seeking a highly motivated Machine Learning Postdoctoral Fellow to join a novel project on systematic-aware AI benchmarking for High-Energy Physics (HEP).
We are building a supercomputer-scale AI ecosystem for sharing datasets, training large models, and hosting machine-learning challenges and benchmarks. This ecosystem will be initially exploited for an ML challenge series, based on novel datasets and progressively rolling in tasks of increasing difficulty, focussing on discovering and minimizing the effects of systematic uncertainties in HEP.
In this exciting role, you will work with a multidisciplinary team including machine learning researchers and physicists to build AI challenges, models and software that exploit supercomputers at NERSC.
NERSC and the LBL Physics division have established track records of enabling their postdocs to pursue careers in physics, machine learning and scientific computing in industry, national labs and academia.
What You Will Do:
• Create datasets, tasks, metrics and models to push the development of systematic-uncertainty aware AI techniques in particle physics and cosmology.
• Contribute to the running of AI challenges and the creation of long-lived benchmarks addressing compelling questions about the impact of systematic effects in AI models.
• Help develop an AI benchmark platform, interfaced to supercomputers at NERSC and capable of hosting datasets and models; producing new simulated datasets; applying new AI algorithms on existing datasets; and applying uploaded AI algorithms on new datasets.
• Disseminate results of research activities through refereed publications, reports, and conference presentations.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
For full consideration, please apply by November 15, 2022.
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 4 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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 will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242936 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
Division: NE-NERSC
The National Energy Research Scientific Computing Center (NERSC, https://www.nersc.gov/) and Physics Division at Berkeley Lab (LBNL, https://www.lbl.gov/) are seeking a highly motivated Machine Learning Postdoctoral Fellow to join a novel project on systematic-aware AI benchmarking for High-Energy Physics (HEP).
We are building a supercomputer-scale AI ecosystem for sharing datasets, training large models, and hosting machine-learning challenges and benchmarks. This ecosystem will be initially exploited for an ML challenge series, based on novel datasets and progressively rolling in tasks of increasing difficulty, focussing on discovering and minimizing the effects of systematic uncertainties in HEP.
In this exciting role, you will work with a multidisciplinary team including machine learning researchers and physicists to build AI challenges, models and software that exploit supercomputers at NERSC.
NERSC and the LBL Physics division have established track records of enabling their postdocs to pursue careers in physics, machine learning and scientific computing in industry, national labs and academia.
What You Will Do:
• Create datasets, tasks, metrics and models to push the development of systematic-uncertainty aware AI techniques in particle physics and cosmology.
• Contribute to the running of AI challenges and the creation of long-lived benchmarks addressing compelling questions about the impact of systematic effects in AI models.
• Help develop an AI benchmark platform, interfaced to supercomputers at NERSC and capable of hosting datasets and models; producing new simulated datasets; applying new AI algorithms on existing datasets; and applying uploaded AI algorithms on new datasets.
• Disseminate results of research activities through refereed publications, reports, and conference presentations.
• Participation in postdoctoral career and science enrichment activities within the Berkeley Lab Computing Sciences Area is encouraged.
For full consideration, please apply by November 15, 2022.
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 4 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.
• Salary will be predetermined based on postdoctoral step rates.
• 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 will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply directly online at http://50.73.55.13/counter.php?id=242936 and follow the on-line instructions to complete the application process.
Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof of Full Vaccination or submitting a request for Exception or Deferral. Visit covid.lbl.gov (https://covid.lbl.gov/) for more information.
Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA, https://diversity.lbl.gov/ideaberkeleylab/) 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.
Equal Opportunity and IDEA Information Links:
Know your rights, click here (https://www.dol.gov/agencies/ofccp/posters) for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf) under 41 CFR 60-1.4.
RequirementsWhat is Required:
• Ph.D. in Physics, Computer Science, Applied Mathematics, or another numerical science domain area.
• Demonstrably effective communication and interpersonal skills.
• Demonstrated ability to perform research individually and as part of a research group.
• Ability to contribute to a large software project.
• Ability to work productively both independently and as part of an interdisciplinary team, balancing objectives involving research and code development.
Desired Qualifications:
• Publication record and/or contributions to open source software projects commensurate with years of experience.
• Experience with machine learning/deep learning frameworks such as TensorFlow, PyTorch, scikit-learn.
• Experience in building and training ML/DL models.
·
·
2022-10-28
Event Type
Job Posting
TimeWednesday, 16 November 202210am - 3pm CST
Location