Postdoctoral Appointee Machine Learning for X-ray Science
Postdoctoral Appointee Machine Learning for X-ray Science
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$ 70758 - 110379
1 Vacancy
Job Description
The Scientific Software Engineering & Data Management Group in the XRay Science Division (XSD) at the Advanced Photon Source (APS) invites applicants for a postdoctoral position to develop and apply advanced analysis methods including artificial intelligence and machine learning algorithms and approaches for xray science and instruments. These methods will accelerate the scientific discovery process by quickly extracting useful information from vast quantiles of data and by providing feedback to the experiment system enabling autonomous control and steering. New fast data reduction approaches and systems will be developed and implemented that operate close to instruments at the edge and that leverage highperformance computing environments when needed. This position will be funded under a Department of Energy award Intelligent Learning for Light Source and Neutron Source User Measurements Including Navigation and Experiment Steering (ILLUMINE). The selected candidate will work as a part of a multidisciplinary research team comprised of scientists from Scientific User Facilities at several National Laboratories.
The Xray Science Division (XSD) of Argonne National Laboratory enables worldclass research using xrays by developing cutting edge Xray instrumentation and techniques and pursuing research in the physical chemical environmental and materials sciences. To accomplish this mission XSD fully operates 43 beamlines and is a partner in the operation of three more beamlines at the Advanced Photon Source (APS).
Today the APS collects approximately 10 PB of raw experimental data per year from approximately 100 sophisticated instruments performing work in a variety of scientific domains. Over the coming decade the APS anticipates this annual data volume will increase by multiple ordersofmagnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems including machine learning to develop data and computing solutions needed to answer pressing scientific questions that face the nation today.
The successful candidate will perform R&D and other activities to collaboratively develop and apply new approaches for intelligent learning and autonomous control for light source data and experiments. The successful candidate will implement and deploy these approaches for use on facility beamlines evaluate the results and disseminate findings through scholarly journals and conferences.
Questions about this position should be directed to .
Position Requirements
To qualify for this position you must have obtained your PhD in computer science or engineering the physical sciences or a related field within the last five years.
Comprehensive programming proficiency preferably in Python.
Experience with machine learning methods and frameworks especially applied to physical science problems.
Experience with xray data analysis and/or modeling such as crystallography diffraction or spectroscopy data analysis and/or modeling.
Skill in written and oral communications.
Working knowledge of UNIX or Linux.
Ability to work as part of a team to solve problems of scientific and technological interest to the APS.
Ability to model Argonnes Core Values: Impact Safety Respect Integrity and Teamwork.
Preferred Knowledge Skills and Experience
Experience with synchrotron light source / xray free electron laser experiments.
Experience using highperformance computing systems and facilities.
Experience using and deploying applications on edge devices.
Job Family
PostdoctoralJob Profile
Postdoctoral AppointeeWorker Type
LongTerm (Fixed Term)Time Type
Full timeThe expected hiring range for this position is $70758.00 $110379.55.Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as but not limited to the scope and responsibilities of the position the qualifications of the selected candidate business considerations internal equity and external market pay for comparable jobs. Additionally comprehensive benefits are part of the total rewards package.
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As an equal employment opportunity employer and in accordance with our core values of impact safety respect integrity and teamwork Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees and certain guest researchers and contractors are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonnes Legal Department.
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Employment Type
Full-Time
