You will develop machine-learning algorithms tailored to the needs ofsynthetic biology, enabling the production ofrenewable bioproducts through predictive bioengineering. The incumbent will focus on the development of ‘Explainable AI’ (XAI) technologies, leveraging Deep Learning and other ensemble strategies. You will work as part of a collaborative team to integrate microbial phenotypic data (e.g. fluxomics, transcriptomics, proteomics, and metabolomics) into quantitative computational models able to predict and explain the outcomes of bioengineering interventions. You will be working closely with an interdisciplinary team of bench scientists, automation engineers and software developers in devising methods for high-throughput data collection and analysis for feedback into experimental design.
What You Will Do:
Integrate and analyze data.
Develop new strategies for uncertainty quantification and propagation amenable to deep learning architectures.
Develop strategies for causal inference in machine learning frameworks.
Develop research objectives and proposals for own or joint research, with the assistance of a mentor.
Disseminate research findings for publication, research seminars, etc.
Oversee students on research related work and provide guidance to PhD students.
Contribute to developing new models, techniques and methods.
Undertake management/administration arising from research.
Contribute to Departmental/School research-related activities and research-related administration.
Provide guidance, as required, to support staff and any students who may be assisting with the research.
Deal with problems that may affect the achievement of research objectives and deadlines.
Contribute to writing bids for research funding.
Additional Responsibilities as needed:
Participate in professional scientific activities, e.g., reviews of papers, research proposals, etc.
Support and contribute to the development of research project ideas and proposals.
Participate in relevant professional societies with relevance to the program and group activities.
What Is Required:
PhD or equivalent experience in Bioinformatics, Computational Chemistry, Bioengineering, Mathematics, Statistics or Computer Sciences.
Significant experience with data science and machine learning.
Significant experience with the analysis and integration of multi-omics data.
Proven experience in Linux including file systems, shell, hardware/software monitoring etc.
Proven experience in high level (e.g. python and R, required); database development, maintaining code repositories (version control, github).
Research experience demonstrated through successful publications.
Good presentation skills and talent for technology and knowledge transfer.
Ability to work in a diverse environment.
Effective interpersonal and communication skills (including written and presentational).
Ability to work and think independently and to contribute to the planning of a program of scientific research.
Effective organizational skills and the ability to prioritize work to meet deadlines.
Evidence of an ability to write to a standard required for research reports/publications.
Additional Desired Qualifications:
Low level (C, C++) programming languages.
Aptitude for international collaboration.
The posting shall remain open until the position is filled..
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 paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
Full-time, M-F, exempt (monthly paid) from overtime pay.
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: West Berkeley Biocenter (Potter St.) — Bldg. 977, 717 Potter St., Berkeley, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with thePay Transparency Nondiscrimination Provisionunder 41 CFR 60-1.4. Clickhere to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 86334
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.