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Career Opportunities in HPC at a Glance
Whether you are seeking a change of career, a post-doctoral position or career advancement, this
site has a variety of offerings from universities and organizations located across the country and
around the world. Each listing is posted for thirty days from its original posting date so be sure
to gather all of the necessary information when you first see a posting that interests you so as
not to miss it upon your return to this site.
Location: Urbana-Champaign, IL
Hiring Institution: The University of Illinois - National Center for Supercomputing Applications
Apply By: December 05, 2016
Posted date: September 23, 2016
NCSA is currently seeking one or more System Engineers / Senior System Engineers in its Scientific Computing Services (SCS) Division. The incumbents will work as part of a team, providing key hardware and software support functions for some of the most powerful and advanced computing and data systems in the world. The positions involve working on projects including the Blue Waters Petascale system, which is one of the world’s largest and most powerful scientific resources; the Large Synoptic Survey Telescope Project, a one billion dollar astronomical survey project; the Innovative Systems Laboratory exploring the next generation of computing hardware and software; the Illinois Campus Cluster Program providing scientific computing to the University of Illinois community; and the NCSA Private Sector Program enabling leading-edge computing for industry and more future projects.
Location: Laramie, WY
Hiring Institution: University of Wyoming
Apply By: December 22, 2016
Posted date: November 22, 2016
The University of Wyoming (www.uwyo.edu) seeks an experienced, innovative, highly collaborative, team-oriented, leader to serve as its IT Director of Infrastructure and Research Support. The position directs the university’s Advanced Research Computing Center (ARCC) and works closely with the university’s Office of Research and Economic Development and with the research community to build a world-class advanced research computing and data-intensive infrastructure.
This unique position combines responsibilities for the university’s enterprise infrastructure with its research computing and data infrastructure. As the strategic and operational leader for IT and the ARCC, the director will oversee systems development, systems operations, security, networking and high performance computing.
The ARCC provides UW's research and academic community with a broad array of high performance computing; data storage and transfer; state-of-the-art visualization (including a 3-D CAVE) technology and support, and plays a critical role in UW’s Tier 1 Engineering and Science Initiatives..
The ARCC provides research assistance through tutorials, workshops and application specialists to enable researchers to use local computational resources, UW's 20% allocation on the NCAR-Wyoming Supercomputing Center's new Cheyenne HPC, and other national resources such as XSEDE.
The University of Wyoming invites diverse applicants to consider our employment opportunities. We are also especially interested in candidates who have experience working with diverse populations and/or diverse initiatives.
The director is responsible for:
• Playing a key leadership role in nurturing the continual development of UW’s advanced research computing ecosystem.
• Maintaining and enhancing a sustainable financial model to support ARCC staffing and operations. Overseeing the ARCC team which is responsible for user, application and systems support for the s community as well as developing and implementing tools for computing systems in a high performance computing environment.
• Working closely with faculty and graduate students to understand their needs and develop solutions and funding strategies; and, actively pursues infrastructure-related funding opportunities and partnerships.
• The development, maintenance, operation, security and capacity planning of the university’s computing and networking infrastructure.
• Working and collaborating closely with other IT units and the university’s colleges and departments to meet their computing and networking needs.
• Evaluating technologies which will determine the university’s enterprise technology infrastructure. Developing specifications for new systems and oversee their acquisition, development, testing and implementation.
• Developing and testing an enterprise disaster recovery plan.
• Working with the CIO, enhancing the university security architecture.
• Developing and maintaining an inclusive workplace.
The successful candidate must have:
• Exceptional, demonstrated commitment to customer service and customer satisfaction.
• A positive attitude and the ability to thrive in a dynamic and flexible team environment.
• The abilities to work collaboratively, create effective collaborations and partnerships, and discuss research goals and needs with faculty across multiple departments; identify technical challenges; and, propose technical solutions and effectively communicate them to investigators and their team members.
• Excellent team-work and collaboration experience and skills.
• Excellent and proven managerial skills.
• Demonstrated excellent leadership.
• Extensive knowledge in the current trends and the use of leading-edge, enterprise and research computing and networking technologies.
• Strong conceptual skills and analytical abilities.
• Extensive project management experience.
• Demonstrated ability to build interpersonal relationships with customers, faculty and technical staff. Demonstrated ability to foster open communication; adhering to the principles of trust, teamwork and collaboration.
• Excellent written and verbal communication skills, including the ability to effectively present programmatic vision and assessments to administration.
• Experience designing, building and managing highly technical teams, and actively supporting the professional development of staff.
• Experience in evaluating computing performance issues including compute, memory, interconnect, networking and filesystems.
• B.S. in Computer Science, related field, or equivalent.
Preferred skills include the following:
• An advanced degree in computational science, scientific visualization, science or engineering.
• Experience in utilizing advanced research computing technologies to enable scientific discovery;
• Experience applying advanced software tools and computing technologies in a dynamic and diverse research setting.
• Experience with national scientific computing initiatives.
• Demonstrated experience in a higher education environment and in supporting research in a higher education environment.
• Management experience of an advanced computing environment on a university campus.
• Demonstrated ability securing funding from federal research programs through proposal preparation.
• Demonstrated experience developing research partnerships within and across institutions.
Salary is commensurate with qualifications of experience and education for the position.
Please submit an online application including uploading as one document: a cover letter, resume and contact information for three references.
In addition, please prepare a one-page summary of the role of HPC within a research-intensive institution, and highlight how your experience places you to support that role and please email to: email@example.com
Location: Bloomington, IN
Hiring Institution: Indiana University
Apply By: December 31, 2016
Posted date: December 01, 2016
Working as a team member, supports genomics and other ‘omics research at Indiana University and for the national audience served by NSF-funded National Center for Genome Analysis Support (NCGAS). Independently consults with biologists and other life science researchers undertaking computational analyses of genomic, transcriptomic, metagenomic, or other ‘omics data sets. Initiates installation and configuration of analytical software packages; performs some programming and scripting to develop software; and assists with data management and transformations. Develops research workflows; and directs assistance in executing those analyses and workflows on IU’s High Performance Computing systems.
Assists with customer requests and work queues, maintains task documentation, and makes programming changes necessary for upgrades, releases and customization.
REQUIRED: Bachelor’s degree in a life science such as biology, microbiology, or biochemistry or in computer science with a specialty in bioinformatics and two years of professional technical experience in analyzing large biological data set.
Combinations of related education and experience may be considered.
Experience with the following: Perl, Python, UNIX shell script, or similar scripting languages; and de novo and reference-based genomics analysis. Experience working with DNA sequence data and analyses for genome assembly, alignment, and annotation; and familiarity with next generation sequencing, Unix/Linux operating systems and one or more programming or scripting languages, and biological data management. An emphasis is put on using existing software (not software development) accepted by the research community. Therefore, broad familiarity with currently available software and ability to match applications to specific research needs, and monitoring of emergent applications.
Excellent interpersonal, written and verbal communication skills including a customer service orientation and ability to interact and communicate effectively with a wide variety of individuals; and willingness and ability to present at the national and international level. Proven ability to work well as part of a team including ability and willingness to work in a collaborative environment where knowledge, code, and effort are shared among colleagues including commitment to sharing knowledge through documentation, communication and collaboration. Demonstrated ability to cooperate and collaborate on projects/operations with other staff while maintaining a positive attitude toward project goals, and take ownership of issues and assigned tasks. Possess a high degree of self-initiative and commitment to expanding skills and expertise through a variety of methods, including self-study, working/mentoring with colleagues, and through internal and external training.
Experience in/with a DNA sequencing laboratory and familiarity with the current state of the art in ’omics-based life sciences research; experience answering actual biological experimental questions with ‘omic sequence sets, with genomic analysis; experience with batch operated clusters or other high performance computing platforms in a university environment.