The mission of Argonne’s Environmental Science Division (EVS) is to provide pioneering fundamental and multidisciplinary research and innovative analyses to solve global to local challenges, applying our core competency in predictive environmental understanding. Argonne is home to a wide variety of computing systems, including some of the most powerful high-performance computers in the world. These systems provide computing power to advance understanding in a broad range of disciplines.

The EVS seeks a Environmental Science Data Analyst to support a study on bird activities around photovoltaic (PV) solar energy facilities across the U.S. using machine-vision models and multi-modal data streams in support of the U.S. Department of Energy’s Solar Energy Technologies Office. We are seeking a A computer programmer, ecological/environmental modeler who is passionate about machine/deep learning model development and execution using video recordings, interested in working with AI-enabled edge-computing cameras, and values interacting with experts in diverse disciplines.

In this role you can expect to:

• Participate in the design, development, and advancement of machine-vision models, camera system testing, data management, supporting software development, and technical documentation for monitoring of bird interactions with PV solar energy facility infrastructure.
• Contribute ideas to the design and development of new systems and tools.
• Frequent interaction with other scientists will be expected to develop research designs and prepare publications.

Position Requirements

• Experience in environmental/ecological computational modeling, machine/deep learning, computer vision, scientific computing, or mathematical optimization.
• Experience in applying machine/deep learning and other modeling approaches, such as agent-based modeling, for ecological/environmental research.
• Programming experience in C, C++, and/or Python.
• Experience in a Linux environment, sustainable software engineering practices such as version control, self-documenting code, unit testing and continuous integration.
• Experience in big data management, organization, sharing, and access control across varying levels of users. 
• Experience in SciPy/SciKit, Tensorflow, PyTorch, or similar packages.
• Experience with datasets pertaining to measuring the interaction between wildlife and renewable energy facilities.
• Ability to apply machine/deep learning and other modeling methods for geospatial and remotely sensed data.
• Experience and skills in interdisciplinary research involving computer scientists and domain scientists.
• Experience with parallel programming, such as MPI.
• Collaborative skills including the ability to work well with other laboratories and universities, supercomputer centers, and industry.
• Being open-minded and having the ability to acquire new skill set and explore new techniques to advance sciences.
• Experience with database management tools, such as MySQL or SQL Server.
• Experience working with statistical computing and data analysis software, such as R or SAS.
• Experience working with data visualization software techniques and tools, such as Tableau and D3.js
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.
• Effective interpersonal and communication skills required to interact effectively, tactfully, and discreetly with all internal and external contacts and to develop effective working relationships.
• PT3: Minimum qualifications include a Bachelor’s degree and 4+ years of experience, or a Master’s degree and 2+ years of experience, or equivalent.

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