Postdoctoral Scholar Position
In Photovoltaic Degradation and Data Science
A Postdoctoral Scholar position for a materials scientist/engineer is available in the
SDLE Research Center, Case School of Engineering under the direction of Prof. Roger H.
French. The research focuses on using a data analytics approach to understanding and
predicting photovoltaic module material degradation, optimizing PV performance and
accelerating adoption of new technology, such as PERC solar cells. DOE SETO funded projects
include PERC cell degradation , moving PV lifetimes to 50 years , and PV module backsheet
degradation .
The Postdoctoral Scholar will engage in research to gain understanding and prediction
of degradation mechanisms in PERC solar cells from laboratory-based experimentation and use
typical semiconductor characterization tools to monitor performance and identify real-world
degradation mechanisms. Data are acquired over time and a data science methodology
employed to model the behavior in a quantitative manner.
The Postdoctoral Scholar will be responsible for original and collaborative research,
related data analysis and publications, as well as some student supervision and coordination of
studies. This position holds excellent career development opportunities. Preference will be given
to individuals with experience in photovoltaic materials and processes and a demonstrated
ability to lead a project, analyze data, and write manuscripts. The applicant should hold a Ph.D.
degree in materials science, electrical engineering, physics, or a related field. Analytic and
computing skills are required including the ability to code. Experience with Linux is a plus.
Strong oral and written communication skills and ability to work independently and
collaboratively are essential.
Applicants should send a cover letter including a brief description of research experience and
interests, a curriculum vitae, and contact information for at least three references by email to:
Roger H. French
Kyocera Professor, Director, SDLE Research Center
Faculty Director, CWRU Applied Data Science program
Secondary Appointments in Computer and Data Sciences, Macromolecular Science,
Phyiscs, Biomedical Engineering
Case Western Reserve University, Cleveland Ohio, 44106-7204, USA
email: roger.french@case.edu
website: http://sdle.case.edu http://engineering.case.edu/profiles/rxf131
In employment, as in education, Case Western Reserve University is committed to Equal
Opportunity and World Class Diversity.
click here to download a pdf of the job description
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Postdoctoral Scholar Position In
Data Science and Statistical Analytics of PV Material Degradation
A postdoctoral Scholar position for a statistician/data scientist is available in the SDLE
Research Center, Case School of Engineering under the direction of Prof. Roger H. French. The
research focuses on using a data analytics approach to understand and predict photovoltaic
module material degradation and lifetime performance. Combining time series, spectral and
electroluminescent image data on real-world PV modules in a wide variety of climatic zones with
more detailed point in time data on a smaller sets of real-world retrieved modules is necessary.
This real-world data with be cross-correlated with similar datasets on PV materials and
minimodules under accelerated exposures in order to understand the degradation mechanisms
and the roles of specific stressors on degradation and to predict lifetime in various climatic
zones. Graph Network modeling of degradation pathways in PV materials is a key area of
research. DOE SETO funded projects include PERC cell degradation , moving PV lifetimes to 50
years , and PV module backsheet degradation .
The Research Scholar will be responsible for original and collaborative research, related
data analysis, software development and publications, as well as some student supervision and
coordination of studies. This position holds excellent career development opportunities.
Preference will be given to individuals with experience in real-world data analytics and a
demonstrated ability to lead a project, collaborate with domain scientists, analyze data, and
write manuscripts.
The applicant should hold a Ph.D. degree in Statistics, Biostatistics, or a related field.
Excellent analytical and computing skills in R and/or Python are required and familiarity with
Hadoop/Hbase/Spark would be helpful. Experience with Linux is a plus. Strong oral and written
communication skills and ability to work independently and collaboratively are essential. The
applicant should be familiar with the linear modeling, fixed effects and mixed/random effects
modeling, logistic regression, predictive modeling, and cross-correlation of data sets. The
research scholar will lead and mentor students in R/Python code development and data
analysis of large and diverse data sets in a Hadoop/Hbase distributed computing environment,
including time series and point in time data.
Applicants should send a cover letter including a brief description of research experience
and interests, a curriculum vitae, and contact information for at least three references by email
to:
Roger H. French
Kyocera Professor, Director, SDLE Research Center
Faculty Director, CWRU Applied Data Science program
Secondary Appointments in Computer and Data Sciences, Macromolecular Science,
Phyiscs, Biomedical Engineering
Case Western Reserve University, Cleveland Ohio, 44106-7204, USA
email: roger.french@case.edu
website: http://sdle.case.edu http://engineering.case.edu/profiles/rxf131
In employment, as in education, Case Western Reserve University is committed to Equal
Opportunity and World Class Diversity.
