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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: General Notes 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 home of multiple top 10 programs (U.S. News and World Report.) 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. LDOS involves co-PIs from UW-Madison, UIUC, and UPenn as well as collaborators from industry partners at Amazon 16 Labs, Bosch, Broadcom, Cisco, Google, Microsoft, and TACC. Longer term, LDOS is expected to become a core Research Center under the Machine Learning Laboratory. Must be eligible to work in the United States on a full time basis for any employer without sponsorship. Purpose The 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. If you are motivated to work in one of the most prestigious, exciting, and impactful research and educational programs at UT Austin, you will enjoy working with the faculty, students, and staff at LDOS. 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, taking a leading role in organizing writing and editing non-technical aspects, formatting, report submittal and other activities involving Research.gov, etc. Interface with the CS Grant Administration Team. In partnership with the Director of Industry Relations, work to secure and steward partnerships for the industry affiliates program, which will comprise the core network of LDOS corporate research relationships. Track financials in coordination with the Financial Analyst, and implement actions with the Faculty Director based on target expenditure rate. Maintain an in-depth awareness of all LDOS programs and progress, including projects, events, and meetings. Attend all major LDOS meetings and events to document relevant information for reports and/or coordination for communications and website updating. In coordination with the Faculty Director, ensure annual report critiques, reviewer comments, advisory board comments, SWOT analysis, are implemented into yearly action plans. Maintain and regularly update all files related to LDOS, including publications, lists of projects, participant tables, events, and resources. Draft meeting minutes for all LDOS meetings, as assigned. Ensure LDOS website and pages are up-to-date, coordinating content with the Communications Coordinator and Webmaster. Coordinate with and assist Department of Computer Science staff to facilitate completion of Education and Workforce Development and Broadening Participation in Computing offerings in keeping with LDOS grant deliverables. In particular, work with CS staff to organize LDOS-related Summer Academies and track metrics for participants. Serve as the principal organizer of the undergraduate summer schools, research Workshops, etc. This will include leading the development of application and participant selection processes, marketing materials/recruiting processes, serving as the main POC to participants, interfacing with CS Financial Team to pay participants, 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, including reporting and/or grant management. 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. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure
thatALLRequired
Materials have been uploaded. Once your job application has been submitted, you cannot make changes. 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. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application
questionspresented
to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- 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, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- 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. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English) [PDF] E-Verify Poster (Spanish) [PDF] Right To Work Poster (English) [PDF] Right To Work Poster (Spanish) [PDF] ---- 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). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
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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: General Notes 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 home of multiple top 10 programs (U.S. News and World Report.) 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. LDOS involves co-PIs from UW-Madison, UIUC, and UPenn as well as collaborators from industry partners at Amazon 16 Labs, Bosch, Broadcom, Cisco, Google, Microsoft, and TACC. Longer term, LDOS is expected to become a core Research Center under the Machine Learning Laboratory. Must be eligible to work in the United States on a full time basis for any employer without sponsorship. Purpose The 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. If you are motivated to work in one of the most prestigious, exciting, and impactful research and educational programs at UT Austin, you will enjoy working with the faculty, students, and staff at LDOS. 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, taking a leading role in organizing writing and editing non-technical aspects, formatting, report submittal and other activities involving Research.gov, etc. Interface with the CS Grant Administration Team. In partnership with the Director of Industry Relations, work to secure and steward partnerships for the industry affiliates program, which will comprise the core network of LDOS corporate research relationships. Track financials in coordination with the Financial Analyst, and implement actions with the Faculty Director based on target expenditure rate. Maintain an in-depth awareness of all LDOS programs and progress, including projects, events, and meetings. Attend all major LDOS meetings and events to document relevant information for reports and/or coordination for communications and website updating. In coordination with the Faculty Director, ensure annual report critiques, reviewer comments, advisory board comments, SWOT analysis, are implemented into yearly action plans. Maintain and regularly update all files related to LDOS, including publications, lists of projects, participant tables, events, and resources. Draft meeting minutes for all LDOS meetings, as assigned. Ensure LDOS website and pages are up-to-date, coordinating content with the Communications Coordinator and Webmaster. Coordinate with and assist Department of Computer Science staff to facilitate completion of Education and Workforce Development and Broadening Participation in Computing offerings in keeping with LDOS grant deliverables. In particular, work with CS staff to organize LDOS-related Summer Academies and track metrics for participants. Serve as the principal organizer of the undergraduate summer schools, research Workshops, etc. This will include leading the development of application and participant selection processes, marketing materials/recruiting processes, serving as the main POC to participants, interfacing with CS Financial Team to pay participants, 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, including reporting and/or grant management. 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. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure
thatALLRequired
Materials have been uploaded. Once your job application has been submitted, you cannot make changes. 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. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application
questionspresented
to upload any additional Required Materials (letter of interest, references, etc.) that were noted above. ---- 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, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. ---- 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. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. ---- 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. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. ---- Employment Eligibility Verification: If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university. ---- E-Verify: The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English) [PDF] E-Verify Poster (Spanish) [PDF] Right To Work Poster (English) [PDF] Right To Work Poster (Spanish) [PDF] ---- 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). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
#J-18808-Ljbffr