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Machine Learning Internship

The vehicle and mobility simulation group at Argonne National Laboratory is currently looking for students to assist machine learning research efforts in the group.
The student will have the possibility to work on a wide variety of tasks in relation to the development of data driven solutions in the vehicle energy and mobility domain.

The entire workflow would require the student to be familiar with the management, cleaning and analysis of data, machine learning-based predictive modeling in high dimensional settings, a good understanding of time-dependent data and time series analysis, and a general fluency with all the data analysis tools. Knowledge of reinforcement learning is a plus.

Skills: A strong mathematical background, statistical analysis, machine learning.
Python, R, Matlab

Before applying:
The internship is offered to start in January 2021 or later for a period of at most 6 months. Please specify in a separate document the following:
1) Your date availability.
2) Your student enrollment status (need to be an enrolled student during the period of the internship)
3) Your course load status for that period (need to be able to work full time i.e need to dedicate period for the internship or need to be on reduced course load with eligibility and approval from the university to combine work/study experience).
4) If you are not a US citizen, ensure you are able to work full-time through CPT.

Benefits: paid internship [$3000, $4000]/month depending on qualifications+reimbursement of round-trip ticket to Chicago (note: due to COVID19 working remotely might be necessary).
Duration: up to 6 months (full time), extension possible.