Postdoctoral Appointee - AI/ML Accelerated High-Performance Computing for Image Processing

Key Skills

Aartificial intelligence, Effective communication skills, High performance computing- HPC, Leadership Skill, Machine learning techniques

Job Description

We are looking for a post-doctoral appointee to perform research and development (R&D) in parallel and distributed systems, high-performance computing techniques (HPC), and artificial intelligence/machine learning (AI/ML) techniques. In this role you will collaborate with scientists from Data Science and Learning Division (DSL) and X-ray Science Division (XSD) to address performance issues with large-scale x-ray image analysis problems. You will work with state-of-the-art high-end computing resources and supercomputers, including Argonne Leadership Computing Facility's Polaris and Aurora, to solve exciting imaging problems relevant to Advanced Photon Source.

In this role you can expect to:

• Conduct research and development aligned with Argonne’s strategic missions in computation.
• Conduct work in HPC, parallel and distributed systems, and computational imaging sciences using large-scale high-end compute resources.
• Promotes findings through publications, presentations, program reports, software dissemination, and other means of reporting outcomes.
• Contributes to the discovery and technological advances in HPC, AI/ML, and image processing, with emphasis on the applications of exascale computers.
• Strengthens career path opportunities by applying new techniques, developing independent research capabilities, and building professional skills such as communication, networking, and leadership.

Position Requirements

Required skills:

• Recent or soon-to-be-completed Ph.D. (typically within the last 0-3 years) with expertise in computer science/engineering, computational imaging, or related field
• Experience in high-performance computing, parallel and distributed programming OR in AI/ML model development

Preferred skills:

• Experience related to GPGPU programming, I/O architectures, and/or performance evaluation and tuning
• Good written, and communication skills

Application documents requested:

• Cover letter (optional); uploaded as a PDF document
• Resume 
• Three letters of recommendation will be requested prior to the interview process

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, gender expression, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other 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 Argonne's Legal Department.