[ES_JOBS_NET] Postdoctoral Scholar - UC Santa Barbara - Statistical Learning for Renewable Energy Finance

[Michael Ludkovski]

Postdoctoral positions are available in the research group of Professor
Mike Ludkovski in the Department of Statistics & Applied Probability at the
University of California Santa Barbara. The positions involve 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 and to analyze the distribution of system operating costs
in high-renewables-penetration scenarios. Successful candidates will have
expertise in at least one of the following areas: stochastic modeling,
spatio-temporal statistics, machine learning, modeling of renewable energy
assets.

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 the areas of statistical machine learning,
   modeling of renewable resources (solar, wind), stochastic analysis, risk
   management, and energy finance. Strong programming skills, including 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 continuation of funding and performance.
Currently a single funded position with the possibility of a second
position.

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 *March 28, 2021*.

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.

The Department is especially interested in candidates who can contribute to
the diversity and excellence of the academic community through research,
teaching, and service as appropriate to the position.

To apply please go to https://recruit.ap.ucsb.edu/JPF01957

The anticipated start date is June 1, 2021.

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

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]
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20210311/fb5760dd/attachment-0001.html>