FALL 2016 VOLUME 7 ISSUE 5
1
The Newsletter of The Statistical and Applied Mathematical Sciences Institute
SAMSI Current Events
1 ASTRO: 2016-2017 Program Opens with Big Bang
2 Optimization: Opening Workshop Highlights Significance in Industry
3 IMSM: IMSM 2016 Prepares Graduate Students for ’Real World’
Research
SAMSI Blog: Teamwork & Collegiality Key to Success of SAMSI-SAVI
Workshop
4 SAMSI Deputy Director to Speak at UNC-G Helen Barton
Lecture Series
5 Welcome to SAMSI
2016-2017 SAMSI Postdoctoral Fellow
Photo Montage: The SAMSI Experience
6 2015-2016 Academic Visitors for SAMSI Research Programs
Future SAMSI Programs
7 Upcoming Workshops &
Events (2016-2017)
8 SAMSI Spotlight
SAMSI Blog: SAMSI Undergraduate Workshop Inspires Student Growth
SAMSI Information & Contacts
9 Opportunities at SAMSI
10 SAMSI 90-Day Calendar
of Events
T HIS IS SU E:
SINCE THE DAWN OF TIME WE ALL
have often looked at the night sky and
wondered WHAT, if anything, is out
there?
In this ongoing 2016-2017 year-long
SAMSI Program on Statistical,
Mathematical and
Computational
Methods for As-
tronomy (ASTRO),
astro- physicists,
mathematicians
and statisticians
are working to-
gether among
many other things,
to explore better
ways to find the
existence of other
planets, in particular the ones which
have habitable conditions similar to our
own on planet Earth.
This year’s opening workshop for the
ASTRO program was held at the NC
Biotech Center on August 22-26 which
brought together some of the most
brilliant minds in the field to discuss,
among other research topics, the
possibility and existence of other worlds
or “exoplanets.” The workshop featured
a multitude of talks and panel
discussions on the various research
topics that include Astrophysical
2016-2017 ASTRO Program
Opens with Big Bang
Emulation, Astrophysical Populations
(exoplanets), Gravitational Waves,
Synoptic Time Domain Surveys and
Cosmology.
Over 90 participants from around the
nation and also a from other countries
(Canada, Spain, UK), specializing in
astronomy and astrostatistics
were present for the five day workshop
that featured
speakers from
NASA, Caltech,
Harvard, Penn
State and Yale just
to name a few. The
year-long program
will allow
astrophysicists,
mathematicians
and statisticians to
collaborate via
virtual media (e.g., weekly webex
meetings) and they will be working
together for the next nine months. They
will analyze huge size data and explore
better ways to improve current
methodologies based on stellar
observations produced by spectrographs
and other ground-based and space-based
astronomical surveys.
Currently, one of the emphases in the
astronomy field is to find the existence
of exoplanets and/or other worlds that
have the potential to support life.
19 T.W. Alexander Dr. ׀ P.O. Box 14006 ׀ Research Triangle Park, NC 27709 ׀ 919-685-9350 ׀ [email protected] ׀ www.samsi.info
(Continued on Page 2)
S A M S I: CURRENT EVENTS
1
There was a wide variety of presentations,
with speakers from academia, of course,
but also industry (the oil and gas company
ExxonMobil, and the online advertising
company MaxPoint Interactive Inc.) and
the National Labs (Argonne, Livermore,
and Sandia-
Albuquerque).
A special two-
hour session
gave partici-
pants a
glimpse at the
challenging
research
problems
faced by the National Labs.
Much like attendees from the Summer
School, feedback from the participants was
overwhelmingly positive.
A number of mid-program events are in the
works. The Workshop on the Interface of
Statistics and Optimization (WISO) in
February 2017 is planned as a high-profile
event. It will be lived-streamed for a
national and international audience and will
feature the pioneers in this area, by giving
their work prominent visibility to a broad
audience.
Overall, the researchers in attendance got
a chance to see how their specialized
research could contribute to these
industries. The Optimization Program runs
from August through the end of May in
2017. For those interested in learning more
about this program and its various working
groups, visit: www.samsi.info/opt.
As this is a hot topic in the astronomy
field, scientists and mathematicians are
focusing their efforts on finding these
exoplanets right here in our own galaxy.
By trying to locate exoplanets, the po-
tential exists for probes to be sent to
explore these regions for earth-like
planets.
Eric Fiegelson, a Distinguished Senior
Scholar and Professor from Penn State’s
Astronomy and Astrophysics Department,
was one of the attendees and was one of
the speakers for the opening workshop.
Fiegelson was extremely excited about
this opportunity to work with other re-
searchers in order to learn how both as-
trophysicists and astrostatisticians can
bring their collective experience and
knowledge to the table in order to poten-
tially lead to the discovery of other ex-
oplanets.
Over the past 25 years Fiegelson has
been involved in astronomy and teaching,
he said, “This event was the first time I
have ever seen a room filled with nearly
50% astronomers and 50% statisticians…
SAMSI made this possible!” Fiegelson
explained why this was significant
because until now, the two disciplines in
the science of astronomy rarely worked
together on a grand level research
endeavor like this.
The ASTRO program, which started in
August of this year will be ongoing
through May, 2017. To see what other
interesting topics and workshops will be
discussed in this program, visit:
www.samsi.info/astro.
NOTE: To read the entire story about the
ASTRO Opening Workshop CLICK HERE, or
visit our website under the News and Media
Tab.
2
S A M S I: CURRENT EVENTS (cont.) SAMSI Brings Together
Researchers in Optimization
for Program Opening
Workshop
MANY
PROBLEMS
IN
mathematics,
statistics,
science,
engineering,
and everyday
life revolve
around the
choice of a best selection to achieve a
specified goal: finding the fastest way
to the airport, or the best rice cooker
for under $100. From a mathematical
point of view, optimization often
amounts to finding the maximal value
of a function.
The vibrant SAMSI program on
Optimizations has produced an
outstanding number of 13 research
working groups, which are concerned
with fundamental methodology and
computational methods for
optimization, and applications of
optimization to radio therapy; decision
analysis; energy and the environment;
and electronic structure models in
physics, chemistry and materials
science; among many others.
It is the mission of the 2016-17 SAMSI
Optimization program to capitalize
on and advance this synergy. The
program aims to guide the interaction
between mathematics and statistics, so
as to produce benefits for each area
individually, but also combined.
More than 90 students and postdocs
attended the Summer School in August
2016, which featured a lively mix of
tutorials and hands-on interactive labs,
where participants were introduced to
state-of-the-art software. The Opening
Workshop two weeks later signaled the
official start of the research program.
More than 130 participants attended
the workshop.
3
team-based research in a time-
constrained environment – a practice that
is key to achieving results in industry and
government labs. The group of students
was dynamic, representing such
disciplines as Geophysics, Engineering,
Biology and of course Applied
Mathematics and Statistics. The diversity
of students played a pivotal role in helping
the teams to develop
synergy through their
collective strengths
and experience in
order to reach a
common goal. Most
students were excited
about the opportunity
to attend and
collectively looked
forward to the challenges presented in the
IMSM workshop. In the end, industry and
lab partners as well as the students
benefitted from the experience of
producing research results that have the
potential to advance modern applications
of this research.
Overall the consensus of the graduate
students was that this workshop was
helpful in preparing them for their future
contributions in research. The IMSM is a
valuable tool for industry as well.
Industries actively seek qualified up and
coming researchers by being a part of
workshops like this and the research
gained also has the potential to advance
the work in their various research. As the
workshop closed, the students spent their
last night dining together and reflecting on
the experiences they shared over the
previous week and a half with peers and
faculty and industry mentors in the
program.
Planning and scheduling by SAMSI has
begun for the 2017 IMSM; applications for
the workshop next year will be accepted in
January. To find out more and apply,
interested graduate students should visit
the SAMSI website at:
www.samsi.info/IMSM17.
NOTE: To read the entire story about the
2016 IMSM CLICK HERE, or visit our
website under the News and Media Tab.
SAMSIBlog: Teamwork
&Collegiality Key to Success
of the SAMSI-SAVI Workshop
AS A PHD
candidate at
Yale
University’s
School of
Forestry and
Environmental
studies, I
spend much of
my year
designing and
implementing
my research
projects in
some of the most sensitive communities
in urban India. Through the course of my
fieldwork and data collection, I have
learned to rely on the expertise of local
community members if I want to achieve
my research goals. These relationships
can take a significant amount of time to
build and nurture to a fruitful collaboration
stage, which is why I was pleasantly
surprised by how quickly the teamwork
and collegiality came together in the first
week of June, at the SAMSI-SAVI
workshop in Mumbai.
Against the backdrop of the sweltering
Mumbai summer, the workshop on
Statistical Methods and Analysis of
Environmental Health Data was an
oasis in more ways than one. Leading
participants from Indian and U.S.
institutions came together for this
inaugural workshop at the brand new
Harvard centre in Mumbai, to discuss the
cutting edge methods in statistical
analysis of environmental health data.
For me, the best part about the workshop
was the balance between methods-based
talks (from Prof. Francesca Dominici and
Prof. Donna Spiegelman and my own
adviser Prof. Michelle Bell, among others)
and summaries of the ongoing work in
India (from Prof. Kalpana Balakrishnan,
senior scientists in a variety of depart-
ments at the Public Health Foundation of
India, and Dr. Mohan Thanikachalam).
The interspersed talks provided a
well-rounded picture of the ongoing
work in India, as well as the critical-
Contributed by: Amrutasri
Nori-Sarma , Yale University
(Continued on Page 4)
S A M S I: CURRENT EVENTS (cont.) IMSM 2016 Prepares
Graduate Students for ‘Real
World’ Research
THE SUN SET ON A HOT JULY DAY
across the street from North Carolina
State University, signaling the end of
another positive experience in research.
Nearly 40 Graduate Students, of various
science, applied
mathematics and
statistics backgrounds
celebrated their
accomplishments and
experiences after
attending the 2016
Industrial Mathematical
and Statistical Modeling
Workshop (IMSM) for
Graduate Students in Raleigh, N.C.,
July 18-27.
This year marked the 22nd anniversary
of the IMSM workshop, a major
educational outreach component of the
Statistical and Applied Mathematical
Sciences Institute (SAMSI). Each year,
SAMSI invites graduate students from
across the country to attend a 10-day
workshop, where various industrial and
government agencies partner with
academia to solve “real world” problems
that impact our lives.
This year, SAMSI was pleased to have
representatives from: Sandia National
Laboratories; Rho, Inc.; the US Army
Corps of Engineers (USACE);
Environmental Protection Agency
(EPA); Pfizer; and the Cooperative
Institute for Climate and Satellites
(CICS). The IMSM workshop is
sponsored by SAMSI as well as the
Department of Mathematics and the
Center for Research in Scientific
Computation (CRSC) at N.C. State
University.
The IMSM workshop introduces
graduate students to the effective
application of academic knowledge
towards solving everyday problems.
Students also learned valuable skills
about time management and
research gaps that remain to be filled.
This environment -was further enhanced
by the working group discussions around
specific data sets that have been
collected by our colleagues in India,
which they shared with the groups for
discussion and analysis.
Midway through the workshop,
attendees were invited by Dr. Swati
Piramal to join her for a conference
dinner at the Piramal tower. The
collaborative discussions continued in the
ballroom over dinner and drinks,
surrounded by Dr. Piramal’s beautiful art
collection. I was able to use this dinner to
catch up with my research collaborator
Dr. Prakash Gupta, head of the
Healis-Seksaria Institute, who is one of
the pioneering health data scientists in
India working with a cohort that he has
been building for 20+ years. I’m excited
about the possibility of other similar Indo
-US collaborations, which might have
their origins at this workshop…
4
the study of dose response curve
in the phase I clinical trials.
the estimation of the monotone
hazard rates and the mean residual
life functions in reliability and
survival analysis and many more
In addition to theoretical results and
applications, the lectures also featured
demos of R
software packages
that can be used to
compute various
statistical data and
graphics.
Ghosh has served
as the Deputy
Director at SAMSI
since 2014 and will
be completing his
term of service in
2017. He has
served as the
Co-Director of
Graduate
Programs in
Statistics at North
Carolina State
University, where
he managed over
150 students
annually from
2010 – 2013. Before serving in his
current role at SAMSI, Ghosh served as
the Program Director in the Division of
Mathematical Sciences within the
Directorate of Mathematical and
Physical Sciences at the National
Science Foundation from 2013 – 2014.
To see more information about Dr.
Ghosh’s lecture or other upcoming
events for the Helen Barton Lecture
series, visit their webpage:
http://www.uncg.edu/mat/talks/lecture
-series-mat.html.
S A M S I: CURRENT EVENTS (cont.)
SAMSI Deputy Director to
Deliver Helen Barton Lecture
Series at UNC-G
DR. SUJIT GHOSH, DEPUTY
DIRECTOR of the Statistical and Applied
Mathematical Sciences Institute
(SAMSI), was
invited by the
University of
North Carolina-
Greensboro’s
Department of
Mathematics and
Statistics to
present a series
of three lectures
this past fall as
part of the Helen
Barton Lecture
Series in
Mathematical
Sciences.
The lecture series
has been a fixture
in the academic
community since
2012 and the
target audience
for these talks
were graduate
and upper level undergraduate students
and faculty members. Dr. Ghosh is one
of many distinguished mathematicians/
statisticians who have been invited to
speak for the series.
Ghosh’s three-part series, entitled,
“Statistical Inference Subject to
Shape Constraint,” took place in
November.
The focus of Dr. Ghosh’s talk was
presenting an introductory overview of
lectures on statistical inference for
density and regression function
estimations that are known to preserve a
set of shape constraints. Some popular
applications included the study of:
utility functions, cost functions, and
profit functions in economics.
the analysis of growth rates as a
function of various environmental
factors.
5
W E L C O M E T O S A M S I
Ahmed Attia
Optimization
Peter Diao
Optimization
Sercan Yildiz
Optimization
David Jones
Astronomy
David Stenning
Astronomy
Hyungsuk Tak
Astronomy
PHOTO MONTAGE: The SAMSI Experience
NEW 2016 SAMSI Postdoctoral Fellows
SAMSI Welcomes our six new Postdoctoral fellows for 2016. They will be
participating in the 2016-2017 Research Programs: Program on Statistical,
Mathematical & Computational Methods for Astronomy (ASTRO) and the
Program on Optimization (OPT).
YOU
+ ADVANCING APPLIED
MATHEMATICAL &
STATITISTICAL RESEARCH
DONATING a gift to SAMSI today
allows us to continue to seek out new
ways to improve and innovate the
mathematical sciences for the future!
Visit SUPPORT SAMSI for more
details …
I N T E R E S T E D I N E M P L O Y M E N T
O P P O R T U N I T I E S A T S A M S I ?
Visit our JOBS AT SAMSI Page for
details on how you could be a part of
our TEAM!
6
W E L C O M E T O S A M S I ( c o n t . )
SAMSI Academic Visitors for 2015-2016 Year-Long
Research Programs
ASTRO
Jogesh Babu, Penn State
University, Statistics
Eric Fiegelson, Penn State
University, Astronomy
Eric Ford, Penn State University,
Astronomy
James Long, Texas A&M
University, Statistics
Ilya Mandel, University of
Birmingham (UK), Astrophysics
Jessi Cisewski, Yale University,
Statistics
Rebekah Dawson, Penn State
University, Astronomy &
Astrophysics
James Long, Texas A&M
University, Statistics
Ben Farr, University of Chicago,
Astronomy & Astrophysics
Matthew Graham, Caltech,
Astronomy
Ashish Mahabal, Caltech,
Astrophysics
Richard O’Shaughnessy, RIT,
Astrophysics
David Van Dyk, Imperial College,
Astrostatistics
Sashi Kanbur, SUNY-Oswego,
Astrophysics
Daniel Wysocki, RIT, Astropyhsics
Konstantin Yakunin, University of
Tennessee, Physics
Zhengfeng Lin, Texas A&M
University, Statistics
Angie Wolfgang, Penn State
University, Astrophysics
Jim Barrett, University of
Birmingham (UK), Astrophysics
Program on Mathematical &
Statistical Methods
for Climate & the
Earth System
Program Dates:
August 1, 2017 -
May 31, 2018
This year-long research program will
study the interrelations among climate
data, climate models and impacts with a
view towards projecting future climate
change and its impact on earth systems
and the human population.
Opening Workshop:
August 21-25, 2017
Steering Committee: Chris Jones
(UNC-Chapel Hill); Doug Nychka
(NCAR); Brian Reich (N.C. State)
SAMSI Directorate Liaison:
Richard Smith (UNC-Chapel Hill)
Visit: www.samsi.info/clim
Email questions: [email protected]
Our SAMSI visitors will be responsible for
supporting the research and collaboration
of this academic year’s ASTRO and
Optimization Programs. We welcome
them to SAMSI and look forward to their
collective contributions to this research:
OPTIMIZATION
Vanja Dukic, University of Colorado-
Boulder, Mathematics & Statistics
David Bortz, University of Colorado-
Boulder, Mathematics
Xiamong Huo, Georgia Tech,
Industrial & Systems Engineering
Cheng Huang, Georgia Tech,
Industrial & Systems Engineering
Christina Mueller, University of
Trier, Mathematics
Laura Somorovsky, University of
Trier, Mathematics
Martin Rupp, University of Trier,
Math & Statistics
Ekkehard Sachs, University of Trier,
Mathematics
Julian Wagner, University of Trier,
Mathematics & Statistics
Katrin Welker, University of Trier,
Mathematics & Statistics
Chuanping Yu, Georgia Tech,
Industrial & Systems Engineering
Hua Zhou, UCLA, Biostatistics
F U T U R E SAMSI Programs (2017-2018)
Program on Quasi-Monte Carlo &
High-Dimensional Sampling Methods
for Applied Mathematics
Program Dates:
August 1, 2017 - May 31, 2018
The goal of the SAMSI program is to
explore the potential of QMC and other
deterministic, randomized and hybrid
sampling methods for a wide range of
applications.
Opening Workshop:
August 28-September 1, 2017
Program Leaders: Art Owen
(Stanford); Fred Hickernell (Illinois
Institute of Technology); Frances Kuo
(University of S. Wales-AUS); Pierre
L’Ecuyer (Université de Montréal-CAN)
SAMSI Directorate Liaison: Ilse Ipsen (N.C. State)
Visit: www.samsi.info/qmc Email questions: [email protected]
Workshops:
Time Series Analysis for Synoptic
Surveys & Gravitational Wave
Astronomy
March20 - 23, 2017
See HERE for more details
Astrophysical Population Emulation &
Uncertainty Quantification -
April 3 - 7, 2017
See HERE for more details
Transition Workshop - May 8 -10, 2017
See HERE for more details
For more information and updates
about this program, visit:
www.samsi.info/astro
Workshops:
Workshop on Statistical Inverse
Problems - January 26-27, 2017
See HERE for more details
Workshop on the Interface of
Statistics & Optimization (WISO) -
February 8 -10, 2017
See HERE for more details
Workshop on Mixed-Integer PDE-
Constrained Optimization -
March 29 - 31, 2017
See HERE for more details
Transition Workshop -
May 1 - 3, 2017
See HERE for more details
For more information and updates
about this program, visit:
www.samsi.info/opt
7
U PCOMING WORKSHOPS & EVENTS (2016-2017)
Program on Optimization (OPT)
Program Director/
Directorate Liaison:
Ilse Ipsen ,
Assoc. Director, SAMSI
Program on Statistical,
Mathematical & Computational
Methods for Astronomy
(ASTRO)
Program Director/
Directorate Liaison:
Sujit Ghosh,
Deputy Director,
SAMSI
Have you recently
attended a SAMSI
program and would like to tell
us about it?
Send us your pictures and/or a
short-story for our SAMSI BLOG or
email us at: [email protected]
SAMSI OPENS SEARCH FOR
NEW DIRECTOR AND
DEPUTY DIRECTOR
Director: For more details on this
position, please visit the webpage:
www.samsi.info/director-2018
Deputy Director: For more details on
this position, please visit the webpage:
www.samsi.info/ddir-2017
Jobs at SAMSI:
Other Opportunities at SAMSI:
VISITING NEW RESEARCH
FELLOWS
New Researcher Fellowships are for out-
standing researchers who have recently
received their Ph.D. Appointments are for
semester to year-long residencies. For more
information, please see the
Visiting New Researcher Fellows page.
POST-DOCTORAL FELLOWS
Postdoctoral fellowships are available,
associated with individual SAMSI programs.
Appointments begin in August. They are
typically for two years and are made jointly
between SAMSI and one of its partner
universities. Extremely competitive salaries
are offered. For more information on current
postdoc openings, please see the
Post-Doctoral Fellows page.
VISITING GRADUATE FELLOWS
Graduate Fellow positions are available for
students whose mentors are also Visiting
Research Fellows at SAMSI. For more
information, please see
Visiting Graduate Fellows page.
SAMSI is an AA/EEO employer.
View our policies.
FROM MAY 22-26, 2016, I HAD THE PRIVILEGE OF
participating in the SAMSI (Statistical and Applied Mathematical
Sciences Institute) Interdisciplinary Workshop for
Undergraduate Students. In my quest for statistical research,
I learned about SAMSI after coming across a paper on Markov
chain Monte Carlo (MCMC) methods written by the Deputy
Director of SAMSI, Sujit K. Ghosh. A statistics alumnus from
UCLA had previously mentioned SAMSI to me before, so when I
came across Dr. Ghosh’s paper, I was compelled to find out more
about this program he and Dr. Ghosh endorsed. A few months
later, I found myself at SAMSI learning about random walks and
the Metropolis-Hastings algorithm from Dr. Ghosh himself.
The SAMSI Experience…
The day after arriving in North
Carolina, the workshop
commenced with a presentation by
the Director of SAMSI, Dr. Richard
Smith, on statistical reasoning in
public and the complexity of small
and large data sets. Throughout this first day of the workshop, we heard more data talks
from different sources in order to investigate a variety of questions related to several ex-
citing and emerging areas of research. The research projects available to us ranged
from the overall complex dynamic behavior of the brain and nervous system to measur-
ing climate change through dolphin migration patterns. After the talks ended, the other
students and I broke up into groups of 5-9 and were assigned to the research project we
selected. Before the first day was over, we got to know our group members and learned
of all the different majors we were. This miscellany of majors initially struck us as inexpe-
dient, but throughout
the week, we learned
that bringing together
minds from different
backgrounds, qualifi-
cations, and experi-
ences is key to effec-
tive problem-solving.
Research Group
Projects…
While our morning and
afternoon activities
varied, our evenings
remained dutifully
allotted for our
8
Contributed by:
Joanna Itzel
Navarro, Statistics
Undergraduate,
University of
California-
Los Angeles
BLOG POST: SAMSI Undergraduate Workshop
Inspires Student Growth
hen we found ourselves stumped, all
it took was one group member to pose a
provoking question or novel information
to furnish the impetus that moved us
forward.”
W
research projects and group work. After
an eventful day, we came back every
evening to find ourselves huddled around
desks and ripe for our research projects.
My research group was under the
guidance of Duke’s newest, congenial
statistics postdoctoral fellow, Dr. Adam
Jaeger, and our research examined
how various environmental factors predict
behaviors of bottlenose dolphins in the
Northern North Carolina Estuarine
System (NNCES) stock in Roanoke
Sound, North Carolina. Furthermore, our
research sought to discover how water
temperature relates to the presence of
dolphins and whether a change in the
frequency of dolphins could be
indicative of climate change.
Learning Through Diverse Perspec-
tives…
The amalgam of majors in our group was
certainly a recipe for a wide range of
questions and approaches, and we no-
ticed this especially in the beginning.
This led us to adopt a multidisciplinary
approach, and by the end of the program,
we had molded ourselves into your
quintessential, diverse research team.
When we found ourselves stumped, all it
took was one group member to pose a
provoking question or novel information
to furnish the impetus that moved us
forward. We were all challenged to work
out our differences and use our diver-
sions as opportunities; we learned to
anticipate alternative viewpoints and to
expect that reaching a consensus would
take effort and strong reasoning.
NOTE: This was an extract from the original
post, to read the entire Blog Post, visit our
SAMSI blog.
9
O PPORTUNITIES AT SAMSI
The Statistical and Applied Mathematical Sciences Institute (SAMSI) is soliciting applications from statistical and mathematical
scientists for up to 6 postdoctoral positions for the SAMSI Research Programs for 2017-2018: Program on Mathematical and
Statistical Methods for Climate and the Earth System (CLIM) and Program on Quasi-Monte Carlo and High-Dimensional
Sampling Methods for Applied Mathematics (QMC). Appointments will begin in August 2017 and will typically be for two
years, although they can also be arranged for one year. Appointments are made jointly between SAMSI and one of its partner
universities, where teaching opportunities may be available. The positions offer extremely competitive salaries, travel stipend, and
health insurance benefits.
Criteria for selection of SAMSI Postdoctoral Fellows include demonstrated research ability in statistical and/or applied
mathematical sciences, excellent computational skills and the ability to communicate both verbally and in written form. Finally, the
preferred applicant will have a strong interest in the SAMSI program areas offered. The deadline for full consideration is December
15, 2016, although later applications will be considered as resources permit.
Please specify which of the two SAMSI research programs you are applying for in your cover letter and why you believe you would
be a good fit for SAMSI and the program you choose.
To apply, go to mathjobs.org: SAMSIPD2017 Job #8986
To see these programs visit: www.samsi.info/qmc and www.samsi.info/clim
SAMSI is an Affirmative Action/Equal Opportunity Employer
Postdoctoral Fellowships for 2017
S AMSI INFORMATION & CONTACTS Directorate:
Richard Smith
SAMSI Director
UNC-Chapel Hill
Sujit Ghosh
SAMSI Deputy
Director
N.C. State
Ilse Ipsen
SAMSI Assoc.
Director
N.C. State
Tom Witelski
SAMSI Assoc.
Director
Duke
Tom
Gehrmann
NCSU
Program Asst.
Rita Fortune
Finance
Analyst
Karem Jackson
Workshop
Specialist
Sue McDonald
Senior Program
Coordinator
Rick Scoggins
Communications
Manager
Karen Poole
UNC-Chapel Hill
Accounting
Technician
Like us on Facebook:
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https://www.linkedin.com/groups/1953793
@SAMSI_Info
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Gordon Campbell
SAMSI Operations
Director
FEBRUARY 2017
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AMSI 90-DAY CALENDAR OF EVENTS
Optimization
Courses (OPT)
ASTRO Courses
Optimization
Workshops (OPT)
ASTRO Workshops
LEGEND:
Numerical OPT & App –Part II
Time Series Methods of Astronomy
Numerical OPT & App –Part II
Numerical OPT & App –Part II
Numerical OPT & App –Part II
Time Series Methods of Astronomy
Time Series Methods of Astronomy
OPT Stat Inverse Problems Workshop
Time Series Methods of Astronomy
Time Series ASTRO
Time Series Methods of Astronomy
Time Series Methods of Astronomy
Numerical OPT & App –Part II
OPT & App - Part II
Numerical OPT & App –Part II
Numerical OPT & App –Part II
O P T U n d e rg ra d u a te W o rksh o p
ASTRO: Time Series Analysis for Synoptic Surveys & Gravitational Wave Astronomy
O P T W I S O W o r k s h o p
ASTRO Time Series
ASTRO Time Series
OPT & App - Part II
Numerical OPT & App –Part II
Numerical OPT & App –Part II
Time Series Methods of Astronomy
Time Series Methods of Astronomy
Time Series Methods of Astronomy
COURSES:
Optimization
Numerical Optimization & Applications - Part II (4:30-5:30pm)
ASTRO
Time Series Methods of Astronomy (4:30-7:00pm)
WORKSHOPS:
Optimization
Workshop on Statistical Inverse Problems (Jan. 26-27)
Workshop on the Interface of Statistics & Optimization [WISO] (Feb. 8-10)
Undergraduate Workshop (Feb. 27-28)
Workshop on Mixed-Integer PDE-Constrained Optimization [MIPDECO] (Mar. 29-31)
ASTRO
Time Series Analysis for Synoptic Surveys & Gravitational Wave Astronomy (Mar. 20-23)
ASTRO = Statistical, Mathematical & Computational Methods for Astronomy Program OPT = Optimization Program
JANUARY 2017
10
O P T U n d e rg ra d u a te W o rksh o p Numerical OPT & App –Part II