The Scientific Computing Division at Fermilab seeks outstanding applicants for a post-doctoral Research Associate position working on neutrino experiments that use liquid argon time projection chambers (LAr TPC).
Fermilab has a strong and diverse research program in neutrino physics and an extensive array of LAr TPC experiments. Fermilab is the home of the Short Baseline Neutrino program and the host lab for the Deep Underground Neutrino Experiment (DUNE). As the successful candidate, you will conduct physics research and publish analysis of neutrino detector data on a topic of your choice.
In parallel to physics analysis, you will bring your physics expertise and learn from a team of world-leading HEP computing experts and extreme-scale computing experts from the DOE Advanced Scientific Computing Research (ASCR) program to gain expertise in modern software development. You will research portability solutions that enable LAr TPC physicists to develop efficient algorithmic code that can run simultaneously on CPUs and a variety of compute accelerators like GPUs.
The position is for a period of up to three (3) years with the potential for extension considered on a yearly basis thereafter.
For more information on required qualifications and how to apply, click here.
Job Description: The High Energy Physics (HEP) Division at Argonne National Laboratory invites applications for an Assistant Computing Scientist to work on the ATLAS experiment at the Large Hadron Collider (LHC) and HEP-CCE projects. The Argonne HEP division has research programs in hadron collider physics, neutrino and precision muon physics, experimental and theoretical cosmology, particle physics theory, as well as programs in Advanced Accelerator and Detector R&D. Argonne offers world-class opportunities in the area of High Performance Computing (HPC). The laboratory hosts the Argonne Leadership Computing Facility (ALCF) and has a strong Computational Science Division (CPS).
The successful candidate is expected to contribute to the development and deployment on HPCs of the state-of-the-art simulation and reconstruction software required for the ATLAS experiment on the High Luminosity LHC (HL-LHC). The successful candidate will also participate in projects of the HEP-CCE which is a cross-cutting initiative to promote excellence in HPC including data-intensive applications, scientific simulations, and data movement and storage. Additional responsibilities of the candidate are to provide operational support of the ongoing ATLAS utilization on HPCs. Some travel, both foreign and domestic, will be required.
- Doctorate in High Energy Physics, Computational Science or an equivalent related field.
- Fluency in the C++ and Python, and versatility with respect to programming languages and operating systems.
- Good analytical and problem-solving skills and the ability to write results-oriented applications for use over long time periods in widely diverse collaborations.
- Strong interpersonal skills and the ability to work well in a team environment with physicists and computing professionals.
- Strong oral and written communications skills.
- Familiarity with LHC software frameworks and applications is highly desirable.
- Familiarity with HPC environment and workflow is desirable.
Applicants should send their curriculum vitae and a cover letter through the Argonne National Laboratory application system: http://www.anl.gov/careers and arrange for three letters of recommendation to be sent to firstname.lastname@example.org. The position is open until filled.
Student Summer Internship Program
The HEP-CCE summer internship program is open to graduate students in the US who would like to work at Argonne National Laboratory, Brookhaven National Laboratory, Fermilab National Accelerator Laboratory, or Lawrence Berkeley National Laboratory. The program covers the three high energy physics frontier areas (Cosmic, Energy, and Intensity) and is aimed at computationally oriented graduate students interested in new educational, training, and research opportunities. A strong computing/computational background is highly desirable. The internship will offer students the opportunity to push forward their scientific projects and to be exposed to a number of leading edge computational areas including next-generation architectures, the use of high-performance computing resources for data-intensive tasks, and analysis of large-scale data sets.
Individual programs will last for ten weeks from June through September and will include travel support and an associated stipend. Applications to the program should include a CV, a statement of current research, and a short statement on how participation in the program will benefit the student’s current work and future career. A letter of recommendation from the student’s research adviser is also required.
Applications can be submitted via email to: email@example.com
Applicants must be at a U.S. institution, but can be of non-U.S. citizenship.