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      • Management Team
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        • Omega Laser Facility Division
        • Plasma & Ultrafast Laser Science & Engineering Division
        • Theory Division
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      • Joint Operations
    • Operations
      • Omega Laser Facility Schedule
      • OMEGA Launchpad
      • OMEGA EP Launchpad
      • Operations Personnel
    • Operations Groups
      • Beamlines
      • Laser Amplifiers
      • Power Conditioning
      • Drivers
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    • Operations
      • MTW Launchpad
      • MTW Laser Facility Schedule
      • MTW FAQ’s
      • MTW Performance Envelope
  • Education
    • Graduate Studies
      • Graduate Program Faculty and Contacts
      • Computational Astrophysics
      • HED Physics
      • Inertial Confinement Fusion
      • Laser–Plasma Interaction
      • Radiative Hydrodynamics
      • Plasma Astrophysics
    • Undergraduate Program
    • Summer High School Research Program
  • Research Areas
    • High-Energy-Density Physics (HEDP) Experiments
    • Innovative Concepts
    • Omega Experiments
    • Plasma Physics
      • Laser–Plasma Interactions
      • Ultrafast Laser–Plasma Physics
      • Ultrafast Laser-Plasma Diagnostics
      • Relativistic Laser-Plasma Experiments
      • Plasma & Ultrafast Laser Science & Engineering Graduate Students
      • PULSE Researchers
    • High-Energy-Density Physics (HEDP) Theory
    • Integrated Modeling
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Careers


GROUP LEADER FOR AI/ML (RESEARCH ENGINEER) (157956)

POSITION SUMMARY:

The Theoretical Division at the University of Rochester's Laboratory for Laser Energetics (LLE) is planning to create an artificial intelligence/machine-learning (AI/ML) Group to significantly expand LLE's effort in applying ML tools to solve a variety of problems relevant to high-energy-density (HED) sciences, operate current laser facilities (OMEGA and OMEGA EP), as well as design and operate future HED facilities that will deliver ~100 of shots a day and will require sophisticated tools for facility operation, engineering, and data acquisition and analysis. LLE seeks an AI/ML expert to lead this group. The ideal candidate for this role should have a strong background in machine learning with focus on physical science and technology, with experience in leading teams and developing solutions that provide measurable outcomes. Candidates should have a MS or Ph.D. in physics, astrophysics, computational physics, or a related field.

While applying online and creating their profile, applicants will be asked to upload the following additional documents:

  • a cover letter
  • a curriculum vitae and a list of publications
  • at least two letters of recommendation
  • a statement of research interests and accomplishments; and
  • a vision statement for the AI/ML group?s future

PAY RANGE: $90,000 to $175,000 Annually

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates are set within the job's compensation range, and determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Candidates are invited to apply online at http://apply.interfolio.com/163654.

GROUP LEADER FOR AI/ML GROUP (Scientist) (134984)

POSITION SUMMARY:

The Theoretical Division at the University of Rochester's Laboratory for Laser Energetics (LLE) is planning to create an artificial intelligence/machine-learning (AI/ML) Group to significantly expand LLE's effort in applying ML tools to solve a variety of problems relevant to high-energy-density (HED) sciences, operate current laser facilities (OMEGA and OMEGA EP), as well as design and operate future HED facilities that will deliver ~100 of shots a day and will require sophisticated tools for facility operation, engineering, and data acquisition and analysis. LLE seeks an AI/ML expert to lead this group. The ideal candidate for this role should have a strong background in machine learning with focus on physical science and technology, with experience in leading teams and developing solutions that provide measurable outcomes. Candidates should have a Ph.D. in physics, astrophysics, computational physics, or a related field.

SALARY RANGE: $100,000 to $140,000 annually

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates are set within the job's compensation range, and determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Candidates are invited to apply online at http://apply.interfolio.com/142478.

HIGH PERFORMANCE COMPUTING (HPC) GROUP LEADER (156174) University of Rochester's Laboratory for Laser Energetics seeks group leader for the High Performance Computing (HPC) group.

The HPC group provides production HPC systems services to the Laboratory. The work spans from acquisition, development, and production readiness of HPC platforms, to the maintenance and operation of these systems. HPC group also manages file systems, storage, and visualization infrastructure associated with the HPC platforms. The group also conducts research into HPC system software, I/O, and data analytics. LLE currently hosts several supercomputers, including Conesus built by Dell Technology with 384 PowerEdge C6220 nodes and 4th Gen Intel Xeon Platinum 8480+ processors and Deluge with 241 dual Intel Xenon Gold 6148 and Platinum 8268 processors.

The HPC Group Leader (GL) is a key member and contributor in Theory Division's leadership team. The HPC GL is responsible for supporting the strategic direction for the group, providing oversight on R&D initiatives, working with, and supporting the division's leadership, developing, and maintaining good customer and cross-organizational relations, and promoting a strong safety, security, and ethics culture.

The HPC Group Leader responsibilities include::

  • Key contributor in supporting the strategic direction for the group, providing oversight/coordination on technical initiatives to assure resources and capabilities, coordinating communication across organizational boundaries to promote quality customer service.
  • Organizational management, including budgeting, forecasting and financial management, capabilities and staff development, succession planning, personnel, and salary management, performance appraisal, human resources management, mentoring, coaching, building effective teams, and ensuring a safe and secure workplace.
  • If desired the GL and HPC group members can be engaged in programmatically funded research and other activities.

Minimum Job Requirements::

Leadership

  • Demonstrated experience managing cross-functional R&D teams consisting of computing scientists, professionals, and technicians providing innovative solutions.
  • Informing a variety of stakeholders, influence and motivate others, and fostering strong relationships across the Laboratory.
  • Lead the development and execution of vision, strategic plans, and goals for your group and the Laboratory in general.

Technical Excellence

  • Leadership level knowledge of the following areas exercised in a large scale production computing environment is expected:
  • HPC computing system administration
  • NIST SP 800-171 and SP 800-53 compliance
  • Application of computing and/or infrastructure configuration management at large scales
  • High performance networking in an HPC setting
  • Parallel archival storage systems
  • HPC programming environments
  • HPC software tools and applications support
  • HPC systems and environmental monitoring
  • HPC cyber security
  • Parallel data archives
  • Serial and parallel file systems
  • HPC workload management/scheduling
  • Data analytics
  • HPC system software research

Business Management

  • Demonstrated management of more than one of budgets, schedules, performance standards, staffing, hiring, forecasting; mentoring, staff development, succession planning, personnel, and salary management, and ensuring a safe and secure workplace for an organizational unit.
  • Experience collaborating with more than one of senior management, internal customers, stakeholders, and peer organizations to achieve alignment between institutional priorities and allocation of resources.
  • Demonstrated ability to work effectively with technical and non-technical staff to set and achieve organizational goals.
  • Demonstrated experience in effective decision making and creative problem solving.

Education and Years of Relevant Experience: :

  • Position requires a Bachelor's Degree from an accredited institution and 5 years related experience; or an equivalent combination of education and experience directly related to the occupation.

Desired Qualifications::

  • Advanced knowledge of governmental policies and procedures, particularly those related to personnel management, budget oversight, safety, and security, environment, and community relations.
  • Experience with large scale simulation of complex physical processes or with the use or deployment of AI software or methodologies.

PAY RANGE: $90,000 to $175,000 Annually

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates are set within the job's compensation range, and determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Candidates are invited to apply online at http://apply.interfolio.com/162037.

MEC-U Project Manager (257515)

POSITION SUMMARY

Seeking an experienced Project Manager to support the design, procurement, and delivery of equipment to build a High-Energy Long-Pulse (HE-LP) laser system at the Matter in Extreme Conditions Upgrade project for SLAC at Stanford University.

RESPONSIBLITIES:

  • Lead a cross-disciplinary team through the final design and delivery of the HE-LP laser
  • Manage project budgets, track expenses, and ensure the project remains cost-effective.
  • Monitor project progress and adjust plans as necessary to keep the project on track.
  • Maintain effective communication with stakeholders to manage expectations and address any project changes.
  • Provide regular updates to stakeholders on budget, schedule, and earned value metrics, ensuring transparency and accountability for all aspects of the project.

QUALIFICATIONS:

  • Bachelor's degree in a technical field.
  • Minimum 5+ years of experience in technical or scientific project management

ESESSENTIAL SKILLS:

  • Proven experience managing complex, multi-disciplinary projects in a technical or R&D environment.
  • Experience with project management software (e.g., MS Project, Jira, Smartsheet, etc.).
  • Excellent leadership and communication skills.
  • Strong organizational and multitasking abilities.

PREFERRED SKILLS

  • Experience working on DOE413.3b project

PAY RANGE: $70,197 to $105,295 Annually

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates are set within the job's compensation range, and determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Candidates are invited to apply online at https://rochester.wd5.myworkdayjobs.com/UR_Staff.
Please apply to Job Opening ID R257515.

NNSAAccessing image data immediately after an OMEGA target shot.Safety manager giving presentation.

EOE Minorities, including disability/protected veterans

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.

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