Join a team of researchers revolutionizing desalination and water treatment. Lawrence Berkeley National Laboratory (LBNL) has an immediate opening for a Postdoctoral Researcher to work on multiple projects focused on the optimization and analysis of water treatment technologies, unit processes and water treatment systems. The Postdoc will work in the Data Science and Technology (DST) department in the Computational Research Division at LBNL and also support the work of NAWI - the National Alliance for Water Innovation: The Department of Energy's (DOE) Desalination "Hub". This position will join a high-performing team of chemical and environmental engineers and data and computer scientists performing cutting edge research and development in the modeling and optimization for water treatment and related fundamental technologies and systems.
The Data Science and Technology department at LBNL develops software and tools to enable scientists to address complex and large-scale computing and data analysis problems beyond what is possible today. DST engages in partnerships with scientists in a wide range of fields and industries to understand their computing and data analysis challenges to develop leading-edge solutions that drive innovation and help address the sustainability challenges of our time. Current research areas and projects include workflow tools, user-level abstractions for exascale data discovery, development of new techniques to secure high-performance computing and networking environments, computationally-driven discovery of new materials, and processing pipelines for scientific data. More details on projects are available at http://dst.lbl.gov/projects.
What You Will Do:
Conduct exploratory and applied analyses in the areas of simulation, modeling and optimization, scientific computing, and the science of flowing materials, including multi-phase and chemically reactive flows; specifically:
Develop rigorous models of water treatment systems
Perform mathematical optimization, and/or statistical analysis of lab-scale, pilot-scale, or commercial-scale water treatment process data
Develop process models for water treatment systems using mathematical optimization frameworks (e.g., Pyomo, GAMS, AIMMS, or IDAES).
Perform software engineering tasks as needed to ensure reusability, portability, and maintainability of software that is delivered to project partners and the scientific community.
Provide technical expertise in the areas of water treatment process systems engineering, optimization, and virtual demonstration.
Write scientific research papers suitable for submission to peer-reviewed venues, in research areas described above.
Assist in writing proposals to obtain sponsored research funding.
What is Required:
PhD in Chemical Engineering, Environmental Engineering, Computer Science, computer Engineering, Applied Mathematics, or a related technical field.
Experience modeling water treatment technologies, unit processes and water treatment trains and systems.
Technical mathematical modeling skills, including skills in any of linear and integer programming, sensitivity analysis, and solving heuristics.
Highly focused and results oriented: able to identify goals, set priorities, and resolve issues.
Ability to define problems, collect data, establish facts, and draw valid conclusions.
Excellent verbal and written communication skills.
Ability to work well independently and as part of a team.
Experience with development and utilization of rigorous steady-state and dynamic process models, including developing submodels for physical properties, thermodynamics and kinetics, utilizing at least one of the following classes of modeling platforms:
Open source algebraic modeling languages such as Pyomo, Julia, CasADi, GAMS, AIMMS, AMPL, and/or MODELICA.
Commercial process modeling tools such as gPROMS, Aspen Plus, Aspen Economic Analyzer, Aspen Dynamics, and Aspen Custom Modeler.
Knowledge of statistics, including data science and/or AI/ML experience.
Expertise in scientific and high-performance computing.
Excellent presentation skills.
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.
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.
This position will be remote initially, but limited to individuals residing in the United States tentatively due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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 the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 93049
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.