Category Archives: Opportunities

Funding Opportunities

ASCR LEADERSHIP COMPUTING CHALLENGE (ALCC) CALL FOR PROPOSALS

The 2019 Call for Proposals for the ALCC program will open in early January.  The ALCC program is open to scientists from the research community in industry, academia, and national laboratories, the ALCC program allocates a portion of the computational resources at the OLCF for special situations of interest to the Department’s energy mission, with an emphasis on high-risk, high-payoff simulations.  Proposals are due by

Wednesday, February 13, 2019 at 11:59 PM EST.

For more information or to submit a proposal, please visit

https://science.energy.gov/ascr/facilities/accessing-ascr-facilities/alcc/alcc-application-details/.

Grace Hopper Postdoctoral Fellowship at NERSC

Upcoming and recent PhD graduates are encouraged to apply for the Distinguished Admiral Grace Hopper Postdoctoral Fellowship at NERSC. This prize fellowship is part of the NERSC Exascale Science Application Program program, optimizing scientific applications for high performance on supercomputers at NERSC.

Applicants should propose an application optimization research project, targeting one of two systems:

 – Cori, the Intel Xeon Phi-based system currently in production at NERSC

 – Perlmutter, the upcoming heterogeneous CPU/GPU system arriving in 2020

The Fellow will receive a highly competitive salary, relocation assistance (if applicable), excellent benefits, frequent opportunities to travel, and an opportunity to work in the San Francisco Bay Area.

For more information about the Distinguished Admiral Grace Hopper Postdoctoral Fellowship, please follow this link:

https://www.nersc.gov/users/application-performance/nesap/distinguished-admiral-grace-hopper-fellowship/

To view the Fellowship description on the Berkeley Lab careers page, please follow this link:

https://lbl.taleo.net/careersection/2/jobdetail.ftl?job=85866

Insight Data Fellows Programs

The application deadline for Insight’s Fall Fellowships is quickly approaching on July 9th, so I want to pass along the latest information about our upcoming sessions.

The Insight Data Fellows Programs are tuition-free fellowships for graduating students, PhDs, and postdocs looking to transition to careers in fields like data science, data engineering, artificial intelligence, and many others. Over the past 6 years, we have helped over 1400 Insight Fellows become data scientists and engineers at over 250 leading data-driven companies.

We have received a number of applications from CERN in the past, and several alumni have gone through our program, including Michel Trottier-McDonald who is now at Twitter.


Best,

Cassie Stover
Head of Admissions
Insight Data Science

=======================

Insight Data Fellows Programs

Insight is now accepting applications from graduating students for our fellowships in:

– Data Science  (for PhDs & Postdocs)
– Health Data Science  (for PhDs & Postdocs)
– Data Engineering  (for Bachelors, Masters, or PhDs)
– Artificial Intelligence  (for Bachelors, Masters, or PhDs)
– Data Product Management  (for Bachelors, Masters, or PhDs)
– DevOps  (for Bachelors, Masters, or PhDs)

1400+ Insight alumni are now working at Facebook, LinkedIn, The New York Times, Apple, Airbnb, Netflix, Memorial Sloan Kettering Cancer Center, Github, Slack, 23andMe, Twitter, Bloomberg, NBC, Pinterest, Microsoft, and 250+ other top companies.

Insight Fellows Programs:

– 7 week, full-time training fellowship
– Mentorship from leading industry data scientists, data engineers & AI specialists
– Join an active community of Insight alumni
– Self-directed, project-based learning followed by interviews at top companies
– Tuition-free with need-based scholarships and loans available to help cover living costs

Upcoming Early Application Deadline: July 9

Learn more & apply on our website: https://www.insightdatascience.com/apply

Not ready to apply? Sign up for our notification list: https://www.insightdatascience.com/notify

Questions? Email us at info@insightdatascience.com

HEP-CCE Announces 2018 GRADUATE STUDENT SUMMER INTERNSHIP PROGRAM

The HEP-CCE is happy to announce a call for applications to its 2018 GRADUATE STUDENT SUMMER INTERNSHIP PROGRAM. This program gives graduate students in HEP with a strong interest in computing a chance to work with teams at DOE laboratories on challenging problems currently facing HEP.

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.

Deadline: March 2, 2018

Details here:
http://hepcce.org/?page_id=2630

Quantum Computing Summer School at Los Alamos National Laboratory

The Quantum Computing Summer School at Los Alamos National Laboratory is an immersive 10-week curriculum that includes tutorials from world-leading experts in quantum computation as well as one-on-one mentoring from LANL staff scientists who are conducting cutting-edge quantum computing research. Summer school fellowship recipients will be exposed to the theoretical foundations of quantum computation and will become skilled at programming commercial quantum computers, such as those developed by D-Wave Systems and IBM. Ten students will be awarded a fellowship from LANL that covers travel, living expenses in Los Alamos, and salary, with a fellowship value ranging from $7,500 to $13,000, based on academic rank (junior, senior, 1st year graduate student, etc.).

 

For more details on applications, see http://quantumcomputing.lanl.gov

Generators for High Performance Computing

The SLAC HEP Theory Group expects to make a Research Associate postdoctoral appointment for a 2-year term beginning October 1, 2018. The successful applicant is expected to work on the construction of a Monte-Carlo event generator for collider physics, suitable for parallel calculations on High Performance Computers.
The senior members of our group are: Stan Brodsky, Lance Dixon, Alexander Friedland, JoAnne Hewett, Stefan Hoeche, Michael Peskin, Thomas Rizzo, Philip Schuster and Natalia Toro. The interests of our group cover all areas of particle physics, quantum field theory, and the interface of particle physics and astroparticle physics. We have strong ties to experimental groups interested in high energy collider physics and particle astrophysics.

https://academicjobsonline.org/ajo/jobs/10477

Work for NERSC!

NERSC currently has several openings for postdocs, system administrators, and more! If you’re looking for new opportunities, please consider the following openings:

– NERSC Exascale Science Applications Postdoctoral Fellow (https://lbl.taleo.net/careersection/jobdetail.ftl?job=83997&lang=en): work in mutidisciplinary teams to transition codes to Cori and produce mission-relevant science that truly pushes the limits of high-end computing.

– NERSC Exascale Science Applications Postdoctoral Fellow for Data (https://lbl.taleo.net/careersection/jobdetail.ftl?job=83700&lang=en): collaborate with scientific teams to enable the solution of deep, meaningful problems in data-intensive experimental/observational sciences such as cosmology, high-energy physics, neuroscience, and imaging.

– HPC Systems Engineer (https://lbl.taleo.net/careersection/jobdetail.ftl?job=83960&lang=en): help architect, deploy, configure, and maintain large-scale, leading-edge systems of high complexity (e.g., Cori and Edison). US Citizenship or permanent residency required.

– Software Engineer / API Developer (https://lbl.taleo.net/careersection/jobdetail.ftl?job=84041&lang=en): build a new system for tracking resource usage across our supercomputing environment, and create an API for this system and eventually the whole center.

We know that NERSC users can make great NERSC employees! We look forward to seeing your application.

Position at LBNL

Berkeley Lab’s Physics Division has an opening for a Physicist Project Scientist responsible for developing and evaluating new software workflows that exploit the capabilities of the High Performance Computing (HPC) facilities at the Lab’s National Energy Research Scientific Computing Center (NERSC). These workflows will allow physicists in the High-Energy and Nuclear Physics groups at LBNL to efficiently perform Monte Carlo simulation, data reconstruction, and data analysis.

https://academicjobsonline.org/ajo/jobs/10079