Postdoctoral Appointee – Machine Learning for X-ray Science

Argonne National Lab; Lemont (IL); On-site; USD 70,000 - 111,000; Full time

Job summary

An innovative research facility is seeking a Postdoctoral Appointee to leverage machine learning and advanced analysis methods for x-ray science. This role involves developing solutions for handling large datasets and enhancing experimental control through intelligent algorithms. Join a multidisciplinary team dedicated to scientific discovery, where your contributions will directly impact cutting-edge research and technological advancements. This is an exciting opportunity to work at the forefront of data analysis in a collaborative environment, pushing the boundaries of scientific exploration.

Benefits

Comprehensive Benefits

Diversity and Inclusion Initiatives

Professional Development Opportunities

Qualifications

• PhD in a relevant field within the last five years.
• Proficiency in programming, preferably in Python.

Responsibilities

• Develop and apply advanced analysis methods for x-ray science.
• Implement intelligent learning approaches on beamlines.

Skills

Python

Machine Learning

Data Analysis

UNIX/Linux

Communication Skills

Collaborative Problem Solving

Education

PhD in Computer Science

PhD in Engineering

PhD in Physical Sciences

Tools

High-Performance Computing

X-ray Data Analysis

Job description

Postdoctoral Appointee – Machine Learning for X-ray Science

Join to apply for the Postdoctoral Appointee – Machine Learning for X-ray Science role at Argonne National Laboratory.

The Scientific Software Engineering & Data Management Group in the X-Ray Science Division (XSD) at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) invites applicants for a postdoctoral position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms, for x-ray science and instruments. These methods will accelerate scientific discovery by extracting useful information from large datasets and enabling autonomous control and steering of experiments. The position involves developing fast data reduction approaches and systems that operate near the instruments and leverage high-performance computing environments. This role is funded under the DOE award, “Illumination Learning for Light Source and Neutron Source User Measurements Including Navigation and Experiment Steering (ILLUMINE).” The candidate will join a multidisciplinary team of scientists from various national laboratories.

The X-ray Science Division (XSD) at Argonne National Laboratory develops cutting-edge X-ray instrumentation and techniques, operating 43 beamlines at the APS, with additional involvement in three more beamlines. The APS generates approximately 10 PB of raw experimental data annually, with expectations of significant growth. This role offers the opportunity to use computational methods, including machine learning, to develop solutions for handling and analyzing large-scale data to address pressing scientific challenges.

The successful candidate will engage in R&D activities to develop and apply new approaches for intelligent learning and autonomous control of light source data and experiments. Responsibilities include implementing these approaches on beamlines, evaluating their effectiveness, and disseminating findings through publications and conferences.

Questions about this position should be directed to [e-mail].

Position Requirements

• PhD in computer science, engineering, physical sciences, or related field within the last five years.
• Proficiency in programming, preferably in Python.
• Experience with machine learning methods and frameworks applied to physical science problems.
• Experience with x-ray data analysis and modeling (e.g., crystallography, diffraction, spectroscopy).
• Strong written and oral communication skills.
• Working knowledge of UNIX or Linux.
• Ability to work collaboratively in a team to solve scientific and technological problems.
• Alignment with Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Preferred Knowledge, Skills, And Experience

• Experience with synchrotron light source or x-ray free electron laser experiments.
• Experience with high-performance computing systems.
• Experience deploying applications on edge devices.

Additional Details

Position Type: Full-time, Long-term (Fixed Term). The expected salary range is $70,758 - $110,380, contingent upon qualifications and internal policies. Argonne offers comprehensive benefits. We are an equal opportunity employer committed to diversity and nondiscrimination. All employment is contingent upon background checks and obtaining necessary security clearances.