CarbonCapture Inc. is focused on decarbonizing the atmosphere through direct air capture technology. They are seeking a Scientific Computing Intern to assist in developing software solutions and scientific analysis skills within their Systems and Analysis team.
Develop and improve cloud-based data processing pipelines
Design and build web-based user interfaces for data analysis
Model and analyze key system subprocesses
Collaborate with process and control engineers, materials scientists, and system analysts on data collection and processing
Qualification
Required
Proficiency with Python, Pandas, and NumPy
Comfort with the Linux command line
Comfort with Git
The ability to flourish in a fluid project environment
A strong capacity for self-learning new software libraries, tools, and platforms
The ability to grasp scientific concepts relevant to projects, mainly in the domains of thermodynamics, mechanical engineering, and materials science
Excellent written and oral communication skills for: design discussions and documentation, product requirements discussions and documentation, and project tracking
Preferred
Software development and scientific data analysis skills
Scientific Python proficiency
Experience with cloud-based data processing and storage
Experience building scientific computation/data analysis tools for scientific research/applications
Front end development experience, or an ability to learn front end development (for example, Dash)
Experience with or ability to learn Matplotlib and Plotly APIs
Experience with or ability to learn/collaborate with: SCADA system architecture, Ignition HMI development, PLC development
Experience with or ability to learn SQL
Experience with or ability to learn AWS-based system development (e.g. S3, Lambda, Athena)