This forum is shutting down! Please post new discussions at

Postdoctoral Position: Environmental Remote Sensing Data Scientist

HenryBHenryB Member, Administrator, NatCap Staff
We're looking for 1 to 2-year postdoc to work with us and macroclimate to integrate remote sensing of methane into climate-based investment decisions.  Please share with colleagues and potential interested applicants!  

Postdoctoral Position: Environmental Remote Sensing Data Scientist

The University of Minnesota’s Institute on the Environment (IonE) is collaborating with 
Macroclimate, an impact investment firm, to reduce greenhouse gas emissions by 
leveraging financial markets.   We seek a postdoctoral researcher with expertise in 
remote sensing to help us detect and quantify the impacts of industrial and 
agricultural practices on climate stability and ecosystem services in near real time on a 
continuous basis – and attribute the source to the party responsible. This position will 
help us expand our environmental data science team to generate actionable insights 
from remote sensing via satellite. Current team members come from diverse 
backgrounds including conservation practice, environmental economics, ecology, 
operations research, behavioral research, and computer science. Along with our team 
of environmental researchers and data scientists at IonE, you will work with our 
commercial partners – including product managers, sales, software engineers and 
aerospace engineers – to build data-driven products and solutions for the financial 

Our goals are that you help our team strengthen connections with the remote sensing 
community within and outside the Institute on the Environment, and specifically that 
you will also help develop a continuously-processing live data feed and provide 
scientific (not technical) support for end users of the data (e.g. quantitative financial 
analysts, financial traders, institutional asset managers). The work is fast-paced, 
highly iterative, and continuously trading off between what works and what is best. 
Data analysis typically involves rigorous testing and fact checking at every step of the 
way. If you enjoy working with data to build products and solve hard real-world 
environmental problems in creative ways, you will fit right in.

This is a Post-Doctoral Associate position and will be for a 12-month period; extension 
of the appointment will be dependent on availability of funding. 

For inquiries or more information, contact Dr. Eric Lonsdorf:  More 
information about IonE can be found at: and information about 
Macroclimate can be found at:

For consideration of this position, please submit a CV, cover letter and samples of 
professional writing through the University of Minnesota HR application system 
(   - job ID 324876).  

Job Duties 
•       Build and maintain geospatial datasets – from multiple sources, updated daily – 
which spatially and temporally detect where and when harmful practices took place. 
Automate processes as needed.
•       Acquire, build and maintain datasets for attributing events to the companies 
responsible. Fact check like an investigative reporter as needed. 
•       Quantify emissions’ impacts on climate, ecosystem services and public health; 
develop normalized risk metrics for comparing practices of one company to another.
•       Conceive of and implement experiments to test hypotheses regarding (statistical) 
behavior of data/models/products
•       Work with commercial partner to compile, package and deliver data in a manner 
that is timely and actionable for financial end users
•       Be “on call” to maintain live datafeeds and provide timely pre- and post-sales 
scientific (not technical) support during business hours for end users
•       Translate product management, engineering, and business constraints and 
queries into tractable environmental data science questions
•       Iterate rapidly on everything; all of the above happens in a relatively fast-paced 
“business driven” environment, you must be comfortable with that.
•       Other related duties as assigned


Required Qualifications: 
•       PhD in Environmental Sciences, Environmental Economics or fields with heavy 
focus on these disciplines
•       Demonstrable practical experience working with geospatial datasets and 
environmental remote sensing
•       Excellent written and verbal communication skills. You will need to be able to 
explain yourself and your methods both within IonE, as well at conferences, in 
academic papers, and with business partners and customers.
•       Experience with data analysis & visualization using Python or R 
•       Experience acquiring and manipulating spatial data and knowledge of GIS data

Preferred Qualifications: 
•       Prior experience with ESG/sustainability data
•       Experience with financial data/analytics and
•       Experience with predictive analytics, and/or machine learning a plus


  • in the event that you feel driven and propelled to complete a data science course, or on the off chance that you are intending to make a profession, at that point look no further, you can browse the best data science course singapore which will help you incredibly in this Endeavor of yours.
  • The Data science course singapore offered by ExcelR is a standout amongst the best and far reaching course in the market. ExcelR being joined forces with UNIMAS (Universiti Malaysia) gives proficient direction and shape every member to turn into a fruitful data researcher. Every one of the coaches are filling in as data researchers with more than 15 years of expert experience.
Sign In or Register to comment.