[ES_JOBS_NET] Postdoctoral Scholar - Stochastic Modeling for Renewable Energy at UC Santa Barbara

[Michael Ludkovski]

The position below remains open and is available to start immediately.
Please forward to any colleagues that might be interested. -Mike
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A postdoctoral position in stochastic modeling is available in the research
group of Professor Mike Ludkovski in the Department of Statistics & Applied
Probability at the University of California Santa Barbara. The position
involves collaborative research on the ARPA-E project 'Stochastic Models,
Indices & Optimization Algorithms for Pricing & Hedging Reliability Risks
in Modern Power Grids' to develop data-driven large-scale stochastic
simulations of renewable energy generation. The candidate should have
expertise in at least one of the following areas: stochastic simulation,
spatio-temporal statistics, energy finance, or machine learning. The
projects also provide potential opportunities to be involved in activities
at the national laboratories.

Postdoctoral appointments are full-time training programs of advanced
academic preparation and research training under the mentorship of a
faculty member.

Basic Qualifications:

   - To apply for this position(s), Applicants must have completed all
   requirements for a Ph.D. (or equivalent) except the dissertation in
   Statistics, Financial Engineering, Applied Mathematics, or a related
   discipline at the time of application.

Additional Qualifications:

   - Ph.D. conferred by the anticipated appointment start date.

Preferred Qualifications:

   - Prior experience in any of statistical machine learning, modeling of
   renewable resources (solar, wind, temperature), stochastic analysis, and
   mathematical finance. Strong programming skills, including knowledge of R
   and Python, and expertise in scientific computation are desirable

The initial appointment will be for one (1) year with a possible two (2)
year reappointment based on the continuation of funding and performance.

For primary consideration, interested candidates should use the following
link to submit a completed application including an up-to-date curriculum
vitae, cover letter, statement of research, and three letters of reference
by July 15, 2020. We strongly encourage applicants to submit an optional
Statement of Contributions to Diversity. These statements, if submitted,
will be reviewed for evidence of teaching, research, professional, and/or
public service contributions that promote diversity and equal opportunity,
such as effective strategies used for the educational advancement,
retention, and mentoring of students in various under-represented groups.

To apply please go to https://recruit.ap.ucsb.edu/JPF01814

The anticipated start date is *January 1, 2021*

For questions or additional information, please email mso at pstat.ucsb.edu.

The department is especially interested in candidates who can contribute to
the diversity & excellence of the academic community through teaching,
research, and service.

The University of California 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 status, protected
veteran status, or any other characteristic protected by law.

-- 
Mike Ludkovski
Professor & Chair
Dept of Statistics & Applied Probability (PSTAT)
Co-Director, Center for Financial Mathematics & Actuarial Research (CFMAR
<http://www.cfmar.pstat.ucsb.edu>)
www.pstat.ucsb.edu/faculty/ludkovski
[image: UC Santa Barbara]
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