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Postdoctoral Research Associate

Northeastern University · United States

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About this position

Postdoctoral Research Associate

About the Opportunity

  • This job description is intended to describe the general nature and
  • level of work being performed by people assigned to this
  • classification. It is not intended to be construed as an exhaustive
  • list of all responsibilities, duties and skills required of
  • personnel so classified.

Summary:

  • The Goodwill Computing Lab seeks a Postdoctoral Research Associate.
  • The Goodwill Computer Lab researches on a variety of computer
  • systems topics including HPC resilience, data center power
  • management, large-scale job scheduling and performance tuning,
  • parallel storage systems and scientific data management. Recent
  • research project details and outcomes can be found in computer
  • systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC,
  • IPDPS, and DAC.

Responsibilities:

  • Performs basic or applied research of a limited scope, primarily
  • using existing theories and methods. Assists the supervisor in the
  • interpretation and publication of results and grants. Maintains the
  • laboratory and may exercise functional supervision over supporting
  • research staff. Primary responsibility is ensuring that the
  • research is complete.
  • The major responsibilities of the Postdoctoral Research Associate
  • includes contributing to multiple projects including
  • resilience-aware scheduling, deep learning workload job scheduling,
  • and storage system performance tuning. The candidate will have the
  • opportunity to engage in multiple projects lead by the graduate
  • students in the group and co-advise the graduate students. The
  • candidate is expected to publish and present research findings in
  • the computer science research conferences.

Qualifications:

  • PhD in computer science with file systems, GPU architecture
  • experience. Proven ability to articulate research work and findings
  • in peer-reviewed proceedings. Knowledge of systems programming
  • skills and concepts Experience with fundamental OS and storage
  • concepts. Experience with programming heterogenous
  • architecture.

Preferred Qualifications:

  • Experience with CUDA programming; Experience programming
  • distributed systems; Experience with parallel and distributed File
  • Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience
  • with high-performance computing and/or large-scale data centers;
  • Advanced experience with large-scale software development and
  • support; Advanced knowledge of Linux kernel internals and systems
  • programming methods; Advanced knowledge of large-scale application
  • and/or kernel debugging techniques.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work

experience, education and skills when extending an offer.

  • Northeastern has a comprehensive benefits package for benefit
  • eligible employees. This includes medical, vision, dental, paid
  • time off, tuition assistance, wellness & life, retirement- as
  • well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for
  • more information.
  • All qualified applicants are encouraged to apply and will receive
  • consideration for employment without regard to race, religion,
  • color, national origin, age, sex, sexual orientation, disability
  • status, or any other characteristic protected by applicable
  • law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

  • With the pay range(s) shown above, the starting salary will depend
  • on several factors, which may include your education, experience,
  • location, knowledge and expertise, and skills as well as a pay
  • comparison to similarly-situated employees already in the role.
  • Salary ranges are reviewed regularly and are subject to
  • change.

To apply, visit https://northeastern.wd1.myworkdayjobs.com/en-US/careers/job/Boston-MA-Main-Campus/Postdoctoral-Research-Associate_R128993

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How to apply

  1. Read the full advert on the source site — it carries the authoritative terms.
  2. Prepare your SOP, CV, transcripts and referees before the deadline.
  3. Apply through the university's own portal. Never pay a fee to a third party.

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