<p>The Center for Energy, Environmental, and Economic Systems Assessment (CEEESA) works on innovative research to enhance the resilience, efficiency, and affordability of power grids. Advanced optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using advanced computing, optimization, and data analytics technologies.</p><p></p><p>The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed journal/conference publications; the successful candidate will develop open-source packages and help disseminate research results to academic and industry community; and will draft research proposals and apply funding from federal agencies (e.g., the Department of Energy and National Science Foundation).</p><p></p><p>A successful candidate should have a solid background in power system engineering, optimization/computing and data analytics, track records of publications in peer-reviewed journals, a strong problem-solving capability, a highly skilled implementation capability, and strong interest in solving real-world problems.</p><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Position Requirements</b></p><ul><li><p>Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related field.</p></li><li><p>Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications.</p></li><li><p>Proficient in implementing control and optimization algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc.</p></li><li><p>Proficiency in writing scientific research articles and presenting results at academic conferences.</p></li><li><p>Experience with solving challenging computational problems.</p></li><li><p>Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.</p></li><li><p>This position requires an on-site presence at the Argonne campus in Lemont, Illinois.</p></li></ul><p></p><p>Preferred Qualifications:</p><ul><li><p>Solid knowledge and independent research capability in stochastic process, machine learning and data analytics with track records of publications.</p></li></ul><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Job Family</b></p>Postdoctoral<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Job Profile</b></p>Postdoctoral Appointee<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Worker Type</b></p>Long-Term (Fixed Term)<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><p style="text-align:left;"><b>Time Type</b></p>Full time<p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><h3></h3>The expected hiring range for this position is $70,758.00-$117,925.00.<h3></h3><p style="text-align:inherit;"></p><p style="text-align:left;"><span><span>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. </span></span></p><p style="text-align:inherit;"></p><p style="text-align:left;">Click <a href="https://www.anl.gov/hr/healthcare-insurance"><span>here</span></a> to view Argonne employee benefits!</p><h3></h3><p style="text-align:inherit;"></p><p><span>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.</span></p><p style="text-align:inherit;"></p><p style="text-align:inherit;"></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left;">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.  </p><p style="text-align:inherit;"></p><p style="text-align:left;">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.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

<p class="break-words white-space-pre-wrap t-black--light text-body-medium">Argonne National Laboratory, one of the U.S. Department of Energy's national laboratories for science and engineering research, employs 3,400 employees, including 1,400 scientists and engineers, three-quarters of whom hold doctoral degrees. Argonne's annual operating budget of around $1 billion supports upwards of 200 research projects. Since 1990, Argonne has worked with more than 600 companies and numerous federal agencies and other organizations. Argonne's mission is to apply a unique mix of world-class science, engineering and user facilities to deliver innovative research and technologies. We create new knowledge that addresses the most important scientific and societal needs of our nation. We actively seek opportunities to work with industry to transfer our technologies to the marketplace through licensing, joint research and many other collaborative relationships. Argonne is managed by UChicago Argonne, LLC, for the U.S. Department of Energy's Office of Science. We are located on 1,500 acres (6.9 sq. km) in southwest DuPage County, Illinois 25 miles (40 km) southwest of Chicago. The site is completely encircled by the beautiful Waterfall Glen Forest Preserve.</p>

Postdoctoral Appointee: Power system optimization and data analytics

<p>The Center for Energy, Environmental, and Economic Systems Assessment (CEEESA) works on innovative research to enhance the resilience, efficiency, and affordability of power grids. Advanced optimization technologies are revolutionizing the way power grid is operated and planned. CEEESA is seeking talented and motivated researchers to enhance its capability in solving energy challenges using advanced computing, optimization, and data analytics technologies.</p><p></p><p>The postdoctoral researcher will work with a team of researchers on solving challenging problems using optimization, stochastic models, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed journal/conference publications; the successful candidate will develop open-source packages and help disseminate research results to academic and industry community; and will draft research proposals and apply funding from federal agencies (e.g., the Department of Energy and National Science Foundation).</p><p></p><p>A successful candidate should have a solid background in power system engineering, optimization/computing and data analytics, track records of publications in peer-reviewed journals, a strong problem-solving capability, a highly skilled implementation capability, and strong interest in solving real-world problems.</p><p></p><p></p><p><b>Position Requirements</b></p><ul><li><p>Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related field.</p></li><li><p>Solid knowledge, and independent research capability in optimization, computing, power system engineering with track records of publications.</p></li><li><p>Proficient in implementing control and optimization algorithms with mainstream programming languages such as Julia, Python, Java, C/C++, etc.</p></li><li><p>Proficiency in writing scientific research articles and presenting results at academic conferences.</p></li><li><p>Experience with solving challenging computational problems.</p></li><li><p>Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.</p></li><li><p>This position requires an on-site presence at the Argonne campus in Lemont, Illinois.</p></li></ul><p></p><p>Preferred Qualifications:</p><ul><li><p>Solid knowledge and independent research capability in stochastic process, machine learning and data analytics with track records of publications.</p></li></ul><p></p><p></p><p><b>Job Family</b></p>Postdoctoral<p></p><p></p><p><b>Job Profile</b></p>Postdoctoral Appointee<p></p><p></p><p><b>Worker Type</b></p>Long-Term (Fixed Term)<p></p><p></p><p><b>Time Type</b></p>Full time<p></p><p></p><h3></h3>The expected hiring range for this position is $70,758.00-$117,925.00.<h3></h3><p></p><p><span><span>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. </span></span></p><p></p><p>Click <a href="https://www.anl.gov/hr/healthcare-insurance"><span>here</span></a> to view Argonne employee benefits!</p><h3></h3><p></p><p><span>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.</span></p><p></p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>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. &nbsp;</p><p></p><p>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. &nbsp;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. &nbsp;Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Postdoctoral Appointee: Power system optimization and data analytics

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Argonne National Laboratory

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