Postdoctoral Appointee - Coupling Instruments and HPC for Experimental Data Science
- Argonne National Laboratory
- Location: Lemont, IL
- Job Number: 7080130 (Ref #: 410216)
- Posting Date: Jun 15, 2021
- Application Deadline: Open Until Filled
Our Data Science and Learning Division is searching for a Postdoctoral Appointee to focus on coupling instruments and HPC for experimental data science. Researches and develops advanced distributed computing, data management, and control methods to enable policy-driven automation of processes used to collect, analyze, organize, and learn from large and complex scientific data. Applies novel techniques to interdisciplinary problems integrating large-scale computing installations with experimental physical science systems such as the Advanced Photon Source at Argonne or other sites. Develops or contributes to Argonne software systems and applies them to computing challenges faced by experimentalist users and the broader computing community. Problems of interest will require experience and expertise in scalable computing, big data, machine learning, databases, and/or the relevant physical sciences. Collaborates with an interdisciplinary team in computing, information technology, and research scientists. uides student or junior developer work. Reports on results of research including publishing scholarly papers in scientific journals, giving presentations at conferences, meetings, and seminars. Participates in the preparation of reports and proposals required by funding agencies to obtain and continue funding support.
Ph.D. (completed within the last 3 years) in computer science, engineering, or a relevant physical science with significant computing experience
Strong knowledge of some aspects of scalable computing systems technologies
Good verbal and written communication skills required
Ability to write research reports and publications required
Organizational skills and attention to detail required
Ability to work independently and as part of a team required
Considerable collaborative skills, including the ability to interact well with external collaborators preferred
Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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