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Job advertisement Post Doctoral Fellow: Big Data, Environmental Challenges and Nature-based Solutions

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European Geosciences Union

Post Doctoral Fellow: Big Data, Environmental Challenges and Nature-based Solutions

Post Doctoral Fellow: Big Data, Environmental Challenges and Nature-based Solutions


University of Waterloo

Waterloo, Canada


Relevant divisions
Climate: Past, Present & Future (CL)
Energy, Resources and the Environment (ERE)
Hydrological Sciences (HS)


Student / Graduate / Internship


Preferred education

Application deadline
Open until the position is filled

3 November 2022

Job description

Applications are invited for a Post Doctoral Fellow, to work with an interdisciplinary, cross-department team at the University of Waterloo, with a flexible start date. The successful candidate will work jointly with Professor Basu’s Ecohydrology Lab and Professor Layton’s Computational Modelling Lab. The Basu group and the Layton group are dynamic and vibrant, with a proven track record of outstanding achievements. The applicant will also work with Research Assistant Professor Juliane Mai at the University of Waterloo on portal development and innovations. The position will support two large projects titled: (1) Solutionscapes: Designing Climate and Water Smart Solutions in Complex Working Landscapes, and (2) From Data to Knowledge: Designing User-Driven Water Quality and Nutrient Loading Observatories across the Great Lakes Basin. Based on interest, there would also be flexibility in exploring additional topics in water and/or health related areas.

Primary duties and potential projects:

  • Develop machine learning models for various water quality datasets and process model outputs at regional and global scales
  • Develop portals for easy access to model inputs and outputs
  • Manage computational resources of the labs

Required Qualifications:

  • PhD in data science, computer science, mathematics, statistics, or a related discipline
  • Experience in managing and curating large data sets
  • Demonstrated programming and software development skills (MATLAB, Python, R etc.)

Additional Qualifications that are desirable but not required:

  • Geospatial expertise, knowledge in remote sensing techniques
  • Work experience in data science or computer science a plus
  • Knowledge in water/water quality
  • Experience in website and/or portal creation
  • Experience in developing and implementing machine learning algorithms and software packages

Skills and experience to enable success:

  • Team-oriented with ability to work independently
  • Detail oriented and ability to juggle multiple projects
  • Ability to work efficiently and prioritize multiple project tasks
  • Ability to clearly explain design concepts, theory of operation, and instructions to researchers in the water quality sciences
  • Excellent communication, verbal, and written skills
  • Curiosity about science, health and disease
  • Passion about learning and professional growth
  • Willingness to work hard and strong drive to excel

How to apply

Interested candidates should submit a cover letter and curriculum vitae to Laura Klein and Nandita Basu Submit applications by November 22, 2022. Applications will be considered after the deadline, as long as the position is not filled.