Argonne National Laboratory Postdoctoral Appointee - Algorithm Optimization at the Exascale in Lemont, Illinois

Postdoctoral Appointee - Algorithm Optimization at the Exascale

Requisition Number: 405241 Location: Lemont, IL

Functional Area: Research and Development Division: MCS-Mathematics and Computer Science

Employment Category: Temporary 6 Months or Greater Education Required: Doctorate Degree

Level (Grade): 700 Shift: 8:30 - 5:00 Share: Facebook LinkedIn Twitter

We are seeking candidates for a post-doctoral researcher to join the Mathematics and Computer Science Division (MCS) at Argonne National Laboratory. Argonne is a multidisciplinary laboratory offering an exciting campus atmosphere in which to collaborate on interdisciplinary projects. With the deployment of A21 in 2021, the DOE’s first Exascale supercomputer, this position also provides unique opportunities for research & development in the realm of scalable algorithms and data science.

The successful applicant will be collaborating with scientists from high energy physics, biology, cosmology, neurology, and others to optimize performance of applications for future Exascale architectures. Exascale machines pose new challenges for computer scientists requiring unique approaches and innovative thinking to achieve efficient performance while balancing data processing. Candidates will have the opportunity to work with deep learning, simulation, and data intensive applications.

We expect you to have:

  • A doctorate degree in computer science, computer engineering, data science, or a related discipline.
  • Programming expertise in C, Python, Fortran, or another scientific programming language is highly desirable; experience with parallel computing, including MPI, OpenMP, or CUDA is desired.
  • Experience with popular Machine Learning toolkits (Tensorflow, PyTorch) is desirable
  • Experience with program development (e.g., writing proposals) is desirable.

The opening is available immediately, but there is flexibility in start dates for highly qualified candidates. More information on computer science work at Argonne may be found at and Questions can be addressed to Paul Hovland ( and Taylor Childers ( Applications received by January 31st, 2019 will receive full consideration.

As an equal employment opportunity and affirmative action employer, 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, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.