[ES_JOBS_NET] Post-Doc Research Fellowship, Multi-Scale Air Quality - Health Risk Modeling, Cornell University

[Christine Wiedinmyer]

*Post-Doc Research Fellowship at Cornell University **
*
Multi-Scale Air Quality -- Health Risk Modeling  and Management 
Optimization

A postdoctoral research opportunity in Multi-Scale Air Quality -- Health 
Risk Modeling and
Management Optimization is currently available for motivated, 
post-graduate (PhD) interested
in being part of a collaborative, interdisciplinary research with the 
Cornell University
Transportation and Environment/Energy Systems (CUTES) Group. The CUTES 
group is a
cross-disciplinary research team that takes innovative systems 
informatics-analytics approaches
to solving infrastructure and its associated 
environment/health/economics and management
problems.  The Group involves faculty and grad/undergrad students from 
Civil and
Environmental Engineering, Statistics, Computer Science, Applied 
Economics and Management,
Systems Engineering, and Earth and Atmospheric Science.  Research 
projects in the Group
expose researchers to solving the infrastructure-related 
environment/health problems by focusing
on the nexus of infrastructure, air quality, health risks, and climate 
change concerns. The
appointment will be served with the School of Civil and Environmental 
Engineering at Cornell
University in Ithaca NY, with potential interactions with other Cornell 
units including: Atkinson
Center for a Sustainable Future (ACSF, http://www.acsf.cornell.edu/), 
Cornell NYC Tech
(http://tech.cornell.edu/), Cornell Program in Infrastructure Policy (CPIP,
http://www.human.cornell.edu/pam/cpip/), and Cornell Institute of Public 
Affairs (CIPA,
http://www.cipa.cornell.edu/), etc.
CUTES research focuses on the characterization, quantification, 
management optimization, and
policy/strategy design for cost-effective and equitable control of 
adverse health effects due to
environmental pollutants from infrastructure such as transportation and 
power systems. Results of
this research are used to inform the public and decision makers at 
local, national and international
levels for infrastructure investment, planning, and operations 
management, environmental
assessments and plan for air quality standards and public health. CUTES 
aims to formulate and
conduct research designed to: 1) characterize the relationships between 
infrastructure, users, air
quality, climate change, and adverse health effects; 2) model the health 
effects of individual
major pollutants (such as ozone, nitrogen oxides, and particles) and 
multipollutant mixtures; 3)
assess the health implication of pollutants near sources such as roads, 
ports, particularly for at-risk human populations who are 
disproportionately impacted by pollution; and 4) evaluate the air
quality and health impacts of environmental policies and regulation, 
infrastructure policy and
operations management (e.g., production and usage of alternative energy 
sources such as
biomass) and seek management optimization and policy design towards 
green infrastructure for
livable communities.
This research opportunity focuses on multi-scale air quality -- health 
risks modeling and
management optimization. The ideal applicant will have experience with 
multi-scale emissions
inventory estimation and air quality modeling, health risk assessment, 
formulation and solution of
policy optimization problems, and familiarity with the quantitative 
assessment of environmental
impacts of industrial/transportation activity. Excellence in academic 
writing such as journal
papers and research proposals is essential. Contributing to the 
development of manuscripts for

submission to peer-reviewed journals and presentations to describe 
research methods, key
findings and implications useful to inform policy-level decision making.
This will be a fantastic research experience where the post-doc fellow 
will work closely with
faculty and graduate students in the development of AQ-Health modeling 
and management
methodologies, resource/environmental economics models, computing 
software, and decision
supporting systems for both government policies and firm growth 
strategies.  The research
participant will learn to: process large data sets for appropriate 
modeling and analyses; and
further develop skills for successful manuscript preparations and 
reviews. The research
participant will have the opportunity to interact with a 
multidisciplinary team of engineers,
scientists, and economists.  The advising faculty will have close 
interaction with the researchers
through weekly individual meetings and research group meetings.
Qualification:
Applicants must have received a doctoral degree with a concentration on 
or a strong experience in
Air Quality and Health Risk Modeling, AQ-Health Systems Management or 
Applications of
Operations Research in relevant fields, or other relevant field (with an 
emphasis on analytical
systems modeling) within five years of the desired starting date, or 
completion of all requirements
for the degree should be expected prior to the starting date.
Excellence in academic writing such as journal papers and research 
proposals is essential. The
fellow will be expected to develop and adapt AQ-Health Risk models, 
mathematical/statistical
methods and techniques and/or advanced modeling tools with the aim of 
evaluating the
environment/health impacts of infrastructure (such as transportation) 
plans and relevant
technologies and policies. Knowledge and experience in AQ-Health risk 
modeling,
scientific/engineering computing and programming, statistical and 
mathematical modeling for
optimization, or training in resource/environmental economics is 
desired.  Proficiency in certain
programming language (e.g., C++/Java, Matlab, Python, etc.), statistical 
analysis packages (e.g.,
R, SAS, SPSS, GAUSS), and ArcGIS is a plus.
How to Apply:
If you are interested please contact Professor H. Oliver Gao and email 
your application package
to: H. Oliver Gao (hg55 at cornell.edu). An application should contain:
1. A cover letter.
2. CV, include complete list of publications
3. Contact information for 3 references (can be included at the end of 
your CV)
4. Two or three of your publications relevant to the topic
5. A research statement (e.g., previous work, future research interests 
and directions, and
career goals, etc. 3-page maximum, single space), and
6. A transcript (electronic version will be fine)
For convenience, please use “Post-doc application—AQ” in the subject 
line of your email, and
name your documents as: “Your First Name_Last Name-CV”, “Your First 
Name_Last Name-ResearchStatement”, and “Your First Name_Last 
Name-Transcript”, respectively. Review of
applications will start immediately and continue until the position is 
filled. Start date can be as
soon as possible. Initial appointment will be for one year, with 
possible extensions. Salary
conforms the Cornell University standard.

The College of Engineering at Cornell University is an equal-opportunity 
affirmative-action
employer. Women and minorities are encouraged to apply.
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