Postdoctoral Research Fellow
About the Opportunity
About the Roux Institute
The Roux Institute is designed as an engine of innovation,
talent-building, and economic growth for Portland, Maine, and
northern New England. We are nurturing an environment for
high-impact research and innovation in computer and data science,
digital engineering, the advanced life sciences and medicine, and
other tech fields. And we are helping entrepreneurs launch
businesses focused on and powered by technology. Together, we
envision an innovation corridor that in the coming years will
stretch from Boston to Portland and beyond.
About the Institute for Experiential AI
Do you want to be part of an exciting new Institute focused on
combining human and machine intelligence into working AI
We are launching a pioneering research and innovation hub in AI—one
that will shape the way humans and machines collaborate for decades
to come. Led by Prof. Usama Fayyad, the Institute for Experiential
AI (EAI) is built around the challenges and opportunities made
possible by human-machine collaboration. The Institute provides a
framework to design, implement, and scale AI-driven technologies in
ways that make a true difference to society. Our ability to respond
to the opportunities afforded to society will depend on training
and building a workforce that is AI-capable and prosperous. In
addition to this focus on human-centric and responsible AI
practice, EAI has research verticals covering Life Sciences,
Health, as well as Climate & Sustainability.
About Northeastern University
Founded in 1898, Northeastern is a global research university and
the recognized leader in experience-driven lifelong learning. Our
world-renowned experiential approach empowers our students,
faculty, alumni, and partners to create impact far beyond the
confines of discipline, degree, and campus.
We are committed to the highest standards in all that we do.
Working at the EAI and the Roux Institute offers opportunities, an
environment, and a culture that just aren't found together anywhere
else. This is the right place for you if you're curious, motivated
by the future of technology, and want to be part of a unique and
diverse community that works on high-impact research, educational,
business, and societal problems.
The Roux Institute at Northeastern University and the Institute for
Experiential AI are seeking a highly qualified and highly motivated
data science postdoctoral researcher with experience and interests
at the intersection of data sciences and machine learning, marine
ecology, coastal systems and fisheries, and climate and earth
The postdoctoral associate will apply artificial intelligence and
machine learning methods to detect, identify drivers, and forecast
climate-related changes and regime shifts in the Northeast U.S.
marine ecosystem. The successful candidate will be mentored and
supervised by Dr. Auroop Ganguly, a Northeastern COE Distinguished
Professor and Director of the Sustainability and Data Sciences
Laboratory, and will also work closely with Dr. Kathy Mills of the
Gulf of Maine Research Institute (GMRI).
In addition to becoming part of the research environment at the
Roux Institute and GMRI, the successful candidate will be part of a
community of postdoctoral trainees from across the Roux Institute,
EAI, the Global Resilience Institute (GRI) and the Sustainability
and Data Sciences Laboratory (SDS Lab).
The position is physically located in Portland, Maine, with
occasional travel to Boston.
Key responsibilities of the role include
Understand the design, dataset structure, and data caveats
associated with remotely sensed earth sciences, ecology, and marine
fisheries datasets in the Northeast U.S. region. Apply artificial
intelligence and machine learning methods to large datasets of
climate, oceanographic, biological, ecological, and fishery
Develop predictive understanding of marine social-ecological
systems under climate and global change, with a focus on marine
ecology, fisheries, and the blue economy.
Characterize, detect, and develop forecasts of marine ecosystem
regime shifts and tipping points, in a way that considers natural,
human-engineered, and social systems, especially climate and other
Develop novel methods and methodological adaptations in
science-guided machine learning and artificial intelligence, as
well as nonlinear dynamics and computational statistics, for earth
systems including climate and ecology.
Collaborate with researchers in the Maine and New England region to
interpret regime shift results in the context of socio-economic and
fishery management implications Communicate results at important
conferences, such as highly-selective computer science conferences,
and through top-tier peer-reviewed journals in the data sciences,
artificial intelligence, climate change, ecology, and marine
ecology fields. Present results to stakeholders, including other
scientists, fishery managers, fishing industry groups, and public
audiences, and help build or strengthen regional, national, and
global communities at the intersection of data sciences, AI,
climate, and ecology.
GENERAL MINIMUM QUALIFICATIONS, VALUES & ABILITIES NEEDED
FOR THIS ROLE
Values & Abilities:
- Ph.D. in one of the following areas:
- Data science, data mining, machine learning, information
theory, nonlinear dynamics, computational statistics, network
science, optimization; other computational sciences; or data-driven
topics in domain areas such as climate and the environment, marine
ecology and fisheries, supply chain.
- Previous experience applying AI and ML methods to the analysis
of large datasets.
- Demonstrated interest in climate change and ecology,
quantitative marine ecosystem and fisheries analyses and
- Experience managing and analyzing large datasets, including
satellite imagery, climate model simulations, oceanographic model
outputs, and ecological surveys.
- Demonstrated experience and fluency in relevant programming
languages, particularly Python, R and/or Julia.
- Strong written and oral communication skills, as evidenced
through publications in the peer-reviewed scientific literature and
presentation of results to a variety of audiences.
- Demonstrated ability to lead an independent research
- Demonstrated ability to work as part of a collaborative
Additional Preferred Qualifications
- Ability to work both independently and collaboratively towards
common research goals.
- We expect postdoctoral fellows to establish and advocate for
best practices in scientific reproducibility of all results, and to
promote the ethical use of data and algorithms.
- Excellent written and verbal communication skills and ability
to communicate effectively with a variety of different
stakeholders, e.g., academics, business executives, government
officials, journalists/media, etc.
- Comfortable navigating complex internal processes and
- Respect for diversity and the importance of interdisciplinary
- Entrepreneurial mindset, self-starter and innovative thinker
while at the same time being able to navigate multi-layered
channels within a university setting and working across multiple
- Team-player who can collaborate effectively in a university
- Open-minded, assertive, and professional when collaborating and
working within our team and with other groups within Northeastern
- Studies or a degree in fields related to climate change, marine
ecology, oceanography, or fisheries science.
- Knowledge of marine ecosystem dynamics, climate change, marine
ecology and fisheries, supply chain and the blue economy, and the
ability to develop hypotheses and analyses to quantify their
- Familiarity with marine ecosystems, particularly the Northeast
Shelf marine ecosystem.
- Experience in time series and geospatial or geospatial-temporal
data mining and machine learning,
- Experience in time series and spatial analysis and forecasting,
including building and evaluating time series and spatial models,
extreme value theory, nonlinear dynamics and causal analysis in
space and time, as well as deep learning and other machine learning
models in space and time
- Proficiency in ArcGIS for Geospatial Analysis and proficiency
with Network Science and complex systems analysis
- Experience with analysis and mining in climate and
sustainability domains, including water, atmosphere, ocean,
infrastructure, ecology or other areas of earth systems sciences
Please submit the following documents in a single Word/PDF
along with your application:
Cover Letter (please specify the specialization(s) you are
interested in) Resume Few samples of your Research Papers/Articles
One page Research Statement.
The research statement should not exceed 1
A reference cited section can be appended following the research
statement and does not count towards the page limit.
Please use 11- or 12-point size and a standard font.
Page margins should be 1 inch or greater.
Please address the following:
1. Describe your research and how it has contributed to your
2. What future directions do you anticipate for your
3. Who are your primary collaborators and what are your experiences
with industrial collaborations?
Northeastern University considers factors such as candidate work
experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit
eligible employees. This includes medical, vision, dental, paid
time off, tuition assistance, wellness & life, retirement- as
well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/
for more information.
Northeastern University is an equal opportunity employer, seeking
to recruit and support a broadly diverse community of faculty and
staff. Northeastern values and celebrates diversity in all its
forms and strives to foster an inclusive culture built on respect
that affirms inter-group relations and builds cohesion.
All qualified applicants are encouraged to apply and will receive
consideration for employment without regard to race, religion,
color, national origin, age, sex, sexual orientation, disability
status, or any other characteristic protected by applicable
To learn more about Northeastern University's commitment and
support of diversity and inclusion, please see
To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Portland-ME/Postdoctoral-Research-Fellow_R116180