BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:America/Denver X-LIC-LOCATION:America/Denver BEGIN:DAYLIGHT TZOFFSETFROM:-0700 TZOFFSETTO:-0600 TZNAME:MDT DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0600 TZOFFSETTO:-0700 TZNAME:MST DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260422T000603Z LOCATION: DTSTART;TZID=America/Denver:20231115T100000 DTEND;TZID=America/Denver:20231115T150000 UID:submissions.supercomputing.org_SC23_sess503_job189@linklings.com SUMMARY:Senior Machine Learning Scientist - Cyber Identity and Biometrics DESCRIPTION:Overview:\n\nThe Cyber Identity and Biometrics (CIB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and d eployment of human and group recognition technologies to address national security and other worldwide challenges. The senior research staff positio n affords the unique opportunity to work with a group of talented R&D prof essionals and establish ORNL as a premier R&D organization by enabling tru e impact on critical national security missions through a teams-based appr oach and commitment to excellence. Our core research capabilities are biom etrics, computer vision, machine learning, data analytics, computational i maging, image reconstruction, signal and image processing, and electronics . In general, CIB’s activities involve first-class interdisciplinary resea rch with other research groups at ORNL, collaborations with private indust ry and academic partners across the nation, and mission-specific support f or our national security research sponsors. CIB thrives in a culture of re spect, diversity, curiosity, and discovery.\n\n \n\nJob Duties and Respons ibilities:\n\nAs a full-time Senior Research Staff, you will provide resea rch and development leadership to the group that strategically advances sc ience and technology consistent with ORNL’s aspiration to be the world’s p remier R&D institution and ORNL’s science culture.\nThe Senior Staff bring together a group of peers with the primary goals of pursuing global scien tific leadership in their field, developing a strategy to develop a world class capability, nurturing ORNL’s culture among group members, and contin uing to build and scale up individual excellence and impact in R&D.\nThis position reports to laboratory leadership to implement the scientific visi on; establishes capabilities that enable programs to excel at the forefron t of science and technology; performs R&D to advance the field of knowledg e and/or technology in one’s respective specialty; sets, implements, and m odels standards for the performance of work consistent with Environmental, Safety, Security, Health, and Quality (ESH&Q) requirements and business r ules; and ensures a diverse and inclusive work environment where every emp loyee feels safe, heard, and appreciated - a workplace that sets an exampl e for the broader community.\n \n\nThe National Security Sciences Director ate conducts research and development to confront some of the nation’s mos t difficult security challenges and adversaries. Our directorate houses S& T leadership in cybersecurity and cyber-physical resiliency, data analytic s, geospatial science and technology, nuclear nonproliferation, and high-p erformance computing for sensitive national security missions. We draw on the Laboratory’s exceptional facilities and work closely with leading rese archers in other areas at the lab such nuclear and chemical sciences and e ngineering, applied materials, advanced manufacturing, biosecurity, transp ortation, and computing. Our multi-disciplinary research teams are passion ate about discovery and innovation as we create science-based solutions to complex security threats that put public safety, national defense, energy infrastructure, and the economy at risk. Our commitment to diversity: As we strive to become the world’s premier research institution in the scien ces and technologies that underpin critical national security missions, we are committed to creating an inclusive environment that highly values a d iverse workforce. We recognize that a breadth of perspectives, insights, a nd experiences are necessary to drive the level of innovation and discover y that is mission critical to national security sciences. Our commitment e xtends beyond our workforce to the next generation of researchers with STE M education outreach that seeks to engage a diverse range of students.\n\n \n\nJob Duties and Responsibilities:\n\nInitiate, lead, and perform indep endent and impactful R&D on an ongoing basis as evidenced by, for example, innovative S&T delivered to sponsors, successful proposals, S&T presentat ions, professional community engagement, inventions/patents/copyrights, pu blications as appropriate, etc.\nServe as a subject matter expert contribu ting to a wide variety of programs supporting DOE and national security ne eds.\nLead program development activities through sponsor engagements, pre paration of proposals and white papers, participation in workshops, as wel l as other program development activities. Develop new research ideas supp orting national security programs.\nDevelop a vision and implement a cohes ive research strategy to ensure the success of new and ongoing research pr ojects to position the group for future success.\nLead by example by exerc ising scientific integrity and ethical AI principles in proposing, perform ing, and communicating research. Ensure all work is carried out safely, se curely, and in compliance with ORNL policies, standards, and procedures.\n Exemplify a commitment to excellence in research, operations, and communit y engagement, and work cooperatively to leverage scientific capabilities a cross ORNL.\nDevelopment and implementation of algorithms and systems for improving recognition of individuals for a variety of biometrics signature s under various operational and environmental conditions.\nLead in the inv ention or improvement of cutting-edge algorithms for object tracking, imag e segmentation, image and signal enhancement, and classification and regre ssion data-learned models.\nHelp the group envision, design, develop, test , and deploy recognition tools and prototypes.\nThe position requires deve lopment of innovative solutions for general identity and biometrics challe nges, frequent and consistent review of related literature, and collaborat ion with other team members for the development of technical demonstration s, proposals, oral presentations, and publications.\nAdvance the reputatio n of the group and standing of the group as a whole through establishing c ollaborations, professional society leadership and involvement, and organi zation of technical events.\nThis position requires a passion for mission- focused National Security challenges.\n \n\n Required Qualifications:\n\nP hD with 8 years of experience or a Master's degree with 12 years of experi ence in Computer Science, Electrical and Computer Engineering, Mathematics , or a related field.\nProven R&D experience in computer vision, supervise d, unsupervised machine learning/Artificial Intelligence (ML/AI), and imag e and signal processing.\nDemonstrated ability to write winning proposals to government agencies in the area of national security.\nDemonstrated abi lity to successfully lead national security projects as principal investig ator.\nDemonstrated ability to make significant technical contributions to projects.\nDemonstrated ability to present scientific results to sponsors and technical communities, as well as professional society conferences an d workshops.\nHands-on skills and experience developing impactful ML/AI so ftware for heterogeneous, multi-modal data sets.\nExcellent communication skills for conveying technical material to both scientists and non-scienti sts in both written and oral presentations.\nSelf-disciplined work ethic a nd eagerness to tackle challenging research problems.\nExcellent interpers onal skills with a demonstrated leadership ability and a strong commitment to a team environment.\n \n\nPreferred Qualifications:\n\nDemonstrated tr ack record in national and/or international engagements that seek to susta in and strengthen the cyber physical systems security community.\nExperien ce with commercial and open-source biometrics recognition software and dat a sets. Familiarity with common machine learning and computer vision soft ware libraries such as PyTorch, Tensorflow, OpenCV, scikit-learn, and othe r similar tools.\nDemonstrated experience with Identity-related research a nd technologies, such as Identity intelligence, human recognition, and hum an subject research.\nExperience working for or collaborating with DOE Nat ional Laboratories (or similar R&D organizations).\nFamiliarity with feder al funding procedures, regulations, policies and practices.\n \n\nSpecial Requirement:\n\nThis position requires the ability to obtain and maintain a Sensitive Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) te sting and designated position. WSAP positions require passing a pre-placem ent drug test and participation in an ongoing random drug testing program. In addition, due to the SCI, you may also be subject to random polygraph testing\n\n END:VEVENT END:VCALENDAR