Postdoctoral Training Opportunity - CS-ML, Atmosphere
The Northwestern University Argonne Institute for Science and Engineering (NAISE) is looking for a motivated and talented postdoctoral trainee to work with the next generation of cyberinfrastructure to address problems related to measuring and sensing atmospheric processes. The successful candidate will be responsible for leading scientific development of algorithms that use advanced analytics (including but not limited to ML/AI/CV) that use cameras, software defined radios and other signal sources to gain insight into atmospheric processes such as cloud formation, air quality, flooding and lightning. This position is well suited to a recent graduate with a strong CS or Software engineering background who is passionate about applying their skills to real world science problems (and is will to learn some atmospheric science) or an atmospheric scientists that has specialized in ML/AI or other advanced retrieval techniques and who has a very strong programming background.
Knowledge of the Scientific Python stack is a must as are modern software engineering and cyber skills such as version control, testing, continuous integration, dockerization etc.. The successful candidate will be working in a diverse and multidisciplinary team as part of the Sage CyberInfrastructure project that aims to underpin the nation's science infrastructure with state of the art edge computing and intelligence fabric.
- Teamwork, the ability to work in large teams and tackle hard problems in a distributed version control environment.
- Computer science/Software engineering skills. Skills in advance analytical techniques such as variational analysis, ML/AI, computer vision. Either experience in or the ability to be able to learn (quickly) AI/ML frameworks such as Tensorflow or PyTorch.
- Adherence to excellent coding practice: Self documenting code, testing, git, GitHub, CI platforms (Travis, appveyor etc).
- Skill in dockerizing applications, scheduling, kubernetes etc..
- Natural curiosity.
- Knowledge of atmospheric science or a passion to learn.
- Established history contributing to community code.
- Skills using image data for research purposes either using computer vision or machine learning.
- Understanding of computer hardware and some background in Electrical Engineering would be a bonus. Especially low noise amplification, A2D etc. Tinkering skills will be highly valued.
Interested candidates should send a CV and cover letter indicating the position for which they would like to be considered to Nicola Ferrier email@example.com by December 1, 2020 to ensure consideration. They will continue to review applications until the position is filled.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.