We seek a motivated candidate for a postdoctoral research position in applied statistics and machine learning. You will work in a program that supports fundamental, interdisciplinary research to advance detection capabilities for chemical agents. Specifically, you will work with a team that is developing and building a new capability for non-invasive detection of synthetic opioids using nuclear quadrupole resonance spectroscopy
Requirements:
PhD in Statistics, Machine Learning, or related field completed within the past five years, or will have completed all PhD requirements by commencement of appointment; Demonstrated mastery of advanced statistical and machine learning methods, including, but not limited to, deep neural networks and probabilistic modeling; Expertise with relevant software tools for deep learning (e.g., Python with Pytorch or Tensorflow, or equivalent); Experience with collaborative, applied work in statistics and machine learning, including direct collaboration and interaction with subject matter experts
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AccessibilityJob BasketHomeJobsVacancy Name: IRC90258Add To BasketEmail PostingApply NowHelpJavaScript enabled browser required.DescriptionJob TitleApplied Statistics and Machine Learning PostdocLocationLos Alamos, NM, USOrganization NameCCS-6/Statistical SciencesMinimum SalaryMaximum SalaryWhat You Will Do We seek a motivated candidate for a postdoctoral research position in applied statistics and machine learning. You will work in a program that supports fundamental, interdisciplinary research to advance detection capabilities for chemical agents. Specifically, you will work with a team that is developing and building a new capability for non-invasive detection of synthetic opioids using nuclear quadrupole resonance spectroscopy. In the twelve-month period between August 2019 and August 2020, 52,000 Americans died from synthetic opioid overdoses. Synthetic opioids, such as fentanyl, cross the United States border daily at locations such as the JFK airport. Our team is developing technology to safely and rapidly screen packages specifically for the unique chemical signatures of fentanyl and its derivatives. We aim to leverage machine learning tools to aid in signal processing and target detection. Main focus areas of the statistical and machine learning portion of the project include i) developing tools to denoise signals in a low signal-to-noise regime that poses challenges to existing signal processing techniques and ii) developing and testing cutting-edge deep learning-based signal detection and matching capabilities against standard techniques. Not only will this project offer publishing opportunities in statistics and machine learning methodology and applications, but it also offers the opportunity to contribute directly to a deployable detection capability for stemming the flow of synthetic opioids into the United States. Machine learning and statistics tools that you develop will likely benefit other detection modalities and applications, further increasing the real-world impact of your work.What You NeedMinimum Job Requirements:Demonstrated mastery of advanced statistical and machine learning methods, including, but not limited to, deep neural networks and probabilistic modeling.Expertise with relevant software tools for deep learning (e.g., Python with Pytorch or Tensorflow, or equivalent).Experience with collaborative, applied work in statistics and machine learning, including direct collaboration and interaction with subject matter experts.Excellent written and oral communication skills evidenced by a strong publication and presentation record.Ability to obtain a Q-clearance. Applicants selected will be subject to a federal background investigation and must meet eligibility requirements for access to classified matter. A Q clearance requires US Citizenship except in extremely rare circumstances. Enter minimum job requirements in this section. Do not copy bullets from Word.> Education/Experience: PhD in Statistics, Machine Learning, or related field completed within the past five years, or will have completed all PhD requirements by commencement of appointment. Desired Qualifications: Experience with signal processing techniques and analysis of temporal and spectral data.Experience with GPU computing and HPC environments.Background knowledge in chemistry and in measurement techniques such as nuclear magnetic resonance or nuclear quadrupole resonance spectroscopy, Raman spectroscopy, and X-ray crystallography.Experience with statistical and machine learning tools applied to data obtained using the above measurement techniques.Note to Applicants:Position is available immediately. Ad will remain open until the position is filled. In addition to applying online, please send a CV, contact information for three references, a one-page statement of research interests, and a cover letter summarizing research and career goals to Natalie Klein (neklein@lanl.gov) with “ML for Opioid Detection Postdoc” as the subject line. Location: This position will be physically located in Los Alamos, NM.Vaccination Requirement: The COVID vaccine is mandatory for all Laboratory employees, on-site contractors, and on-site subcontractors unless granted an accommodation under applicable state or federal law. This requirement will apply to those working on-site, those teleworking, and all new hires.Where You Will Work Statisticians in the Statistical Sciences Group work in partnership with world-leading scientists in a wide range of areas such as chemistry, materials science, environmental modeling, energy technology, space and planetary science, cosmology, epidemiology, cyber security and network science, image and multi-source signals analysis, future computing, and analysis of complex engineered systems. The group is recognized for research and applications in Bayesian methods, uncertainty quantification, design and analysis of experiments, Monte Carlo and computer-intensive methods, spatial modeling, machine learning, and statistical computation. Our workforce enjoys a collegial work environment focused on creative problem solving. We are committed to work-life balance, as well as both personal and professional growth. Los Alamos, New Mexico, enjoys excellent weather, clean air, outstanding public schools and quick, easy access to many top ski resorts, scenic hiking and biking trails, and to a range of recreational pursuits. Many employees enjoy the proximity to the nearby state capital, Santa Fe, which is known for world-class restaurants, art galleries, opera, and cultural events.Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:Our generous benefits package includes:§ PPO or High Deductible medical insurance with the same large nationwide network§ Dental and vision insurance§ Free basic life and disability insurance§ Paid maternity and parental leave§ Award-winning 401(k) (6% matching plus 3.5% annually)§ Learning opportunities and tuition assistance§ Flexible schedules and time off (paid sick, vacation, and holidays)§ Onsite gyms and wellness programs§ Extensive relocation packages (outside a 50 mile radius)Additional DetailsDirective 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.Q Clearance: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance which requires US Citizenship except in extremely rare circumstances. Dependent upon position, additional authorization to access nuclear weapons information may be required that may or may not be available to dual citizens depending upon the circumstances. *Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-665-4444 option 1.Appointment TypePostdocPostdocContact DetailsContact NameEmailWork TelephoneAdd To BasketEmail PostingApply NowHelpHomeJobsAccessibilityJob BasketPrivacy StatementCopyright (c) 2006, Oracle. All rights reserved.
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