University of Texas at Austin
LDOS Assistant Director of Operations
University of Texas at Austin, Austin, Texas, us, 78716
Job Posting Title:LDOS Assistant Director of Operations
Hiring Department:Department of Computer Science
Position Open To:All Applicants
Weekly Scheduled Hours:40
FLSA Status:Exempt
Earliest Start Date:Immediately
Position Duration:Expected to Continue
Location:AUSTIN, TX
Job Details:The University of Texas at Austin (UT Austin) seeks an organized and driven Assistant Director of Operations for the Learning Directed Operating System (LDOS) Project. LDOS is a large multi-institution grant funded by the National Science Foundation (NSF) CISE Expeditions in Computing program, led by Professor Aditya Akella at UT Austin in the Department of Computer Science. The project seeks to transform computer operating systems with assistance from advanced AI. The five-year $12M project aims to develop key LDOS research foundations, use cases/demonstrations spanning cloud/edge computing and robotics, and novel educational modules and experiences at the intersection of machine learning and computer systems.
Must be eligible to work in the United States on a full-time basis for any employer without sponsorship.
PurposeThe Assistant Director of Operations will serve as LDOS’s lead staff member, overseeing all project operations and reporting to the faculty director. Ideal candidates will be excited to help advance machine learning and computer systems research and education and interested to grow with our organization as we expand.
Responsibilities
Support the Faculty Director to ensure all deliverables associated with the LDOS Expedition grant are executed on time, including serving as staff liaison to the NSF.
In partnership with the Events Coordinator, assist with all major LDOS events and meetings, including NSF site visits, demonstrations, yearly workshops, and meetings with industry partners.
Coordinate the completion of the annual report, site visit documents, and other associated reporting tasks.
In partnership with the Director of Industry Relations, work to secure and steward partnerships for the industry affiliates program.
Track financials in coordination with the Financial Analyst.
Maintain an in-depth awareness of all LDOS programs and progress.
In coordination with the Faculty Director, ensure annual report critiques are implemented into yearly action plans.
Maintain and regularly update all files related to LDOS.
Draft meeting minutes for all LDOS meetings, as assigned.
Ensure LDOS website and pages are up-to-date.
Coordinate with and assist Department of Computer Science staff to facilitate completion of Education and Workforce Development offerings.
Serve as the principal organizer of the undergraduate summer schools, research Workshops, etc.
Engage with stakeholders internal and external to the university to inform LDOS initiatives.
Other related functions as assigned.
Required Qualifications
Bachelor's degree and five (5) years of program management and/or support of strategic initiatives.
Ability to work in a fast-paced environment with constant and multiple ongoing deadlines.
Ability to manage long-term projects, prioritize, and proactively ensure deadlines are met.
Ability to act as a facilitator and a consensus builder.
Ability to work independently and collaboratively.
Must have excellent interpersonal, organizational, and oral and written communication skills.
Experience dealing with confidential information or the ability to keep information confidential.
Familiarity with Web content creation and management, and associated systems such as Drupal.
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
Graduate degree in a scientific field, preferably in computer science, computer engineering, data science, or mathematics.
Familiarity working with the NSF or comparable granting agencies.
Experience with financial management and forecasting.
Experience organizing and leading events and meetings.
Experience collaborating with faculty.
Higher education experience within an academic college or department.
Familiarity with the field of machine learning and/or operating systems.
Salary Range$95,000 + depending on qualifications
Working Conditions
Typical office environment
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Writing sample
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs.
Employment Eligibility:Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting.
Background Checks:A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action.
Pay Transparency:The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Compliance:Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act).
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Hiring Department:Department of Computer Science
Position Open To:All Applicants
Weekly Scheduled Hours:40
FLSA Status:Exempt
Earliest Start Date:Immediately
Position Duration:Expected to Continue
Location:AUSTIN, TX
Job Details:The University of Texas at Austin (UT Austin) seeks an organized and driven Assistant Director of Operations for the Learning Directed Operating System (LDOS) Project. LDOS is a large multi-institution grant funded by the National Science Foundation (NSF) CISE Expeditions in Computing program, led by Professor Aditya Akella at UT Austin in the Department of Computer Science. The project seeks to transform computer operating systems with assistance from advanced AI. The five-year $12M project aims to develop key LDOS research foundations, use cases/demonstrations spanning cloud/edge computing and robotics, and novel educational modules and experiences at the intersection of machine learning and computer systems.
Must be eligible to work in the United States on a full-time basis for any employer without sponsorship.
PurposeThe Assistant Director of Operations will serve as LDOS’s lead staff member, overseeing all project operations and reporting to the faculty director. Ideal candidates will be excited to help advance machine learning and computer systems research and education and interested to grow with our organization as we expand.
Responsibilities
Support the Faculty Director to ensure all deliverables associated with the LDOS Expedition grant are executed on time, including serving as staff liaison to the NSF.
In partnership with the Events Coordinator, assist with all major LDOS events and meetings, including NSF site visits, demonstrations, yearly workshops, and meetings with industry partners.
Coordinate the completion of the annual report, site visit documents, and other associated reporting tasks.
In partnership with the Director of Industry Relations, work to secure and steward partnerships for the industry affiliates program.
Track financials in coordination with the Financial Analyst.
Maintain an in-depth awareness of all LDOS programs and progress.
In coordination with the Faculty Director, ensure annual report critiques are implemented into yearly action plans.
Maintain and regularly update all files related to LDOS.
Draft meeting minutes for all LDOS meetings, as assigned.
Ensure LDOS website and pages are up-to-date.
Coordinate with and assist Department of Computer Science staff to facilitate completion of Education and Workforce Development offerings.
Serve as the principal organizer of the undergraduate summer schools, research Workshops, etc.
Engage with stakeholders internal and external to the university to inform LDOS initiatives.
Other related functions as assigned.
Required Qualifications
Bachelor's degree and five (5) years of program management and/or support of strategic initiatives.
Ability to work in a fast-paced environment with constant and multiple ongoing deadlines.
Ability to manage long-term projects, prioritize, and proactively ensure deadlines are met.
Ability to act as a facilitator and a consensus builder.
Ability to work independently and collaboratively.
Must have excellent interpersonal, organizational, and oral and written communication skills.
Experience dealing with confidential information or the ability to keep information confidential.
Familiarity with Web content creation and management, and associated systems such as Drupal.
Relevant education and experience may be substituted as appropriate.
Preferred Qualifications
Graduate degree in a scientific field, preferably in computer science, computer engineering, data science, or mathematics.
Familiarity working with the NSF or comparable granting agencies.
Experience with financial management and forecasting.
Experience organizing and leading events and meetings.
Experience collaborating with faculty.
Higher education experience within an academic college or department.
Familiarity with the field of machine learning and/or operating systems.
Salary Range$95,000 + depending on qualifications
Working Conditions
Typical office environment
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Writing sample
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs.
Employment Eligibility:Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting.
Background Checks:A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action.
Pay Transparency:The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.
Compliance:Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act).
#J-18808-Ljbffr