The vehicle and mobility simulation group at Argonne National Laboratory is currently looking for students to assist machine learning research efforts in the group. In particular, we are looking for students that have experience with building data engineering pipelines to stream data from various data sources, clean, process, store, and query large-scale datasets.
The position requires familiarity with data engineering tools to build efficient data workflows leveraging. Key tools for this project include Airflow, Hadoop 2.0, Spark, Kafka, Cassandra, and Dockers.
It is preferred if the student has also familiarity with supervised and unsupervised machine learning techniques for data mining, analysis, outlier detection, and imputation.
The internship is offered to start asap for a period of 6 months (renewable). Please specify in the cover letter 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 a round-trip ticket to Chicago (note: due to COVID19 working remotely might be necessary).
Duration: up to 6 months (full time), extension possible.