Qureos Mentor

Oak Ridge National Laboratory

<div>Requisition Id 16337
Overview:
Interested in taking your scientific computing skills to the next level? We are seeking a research scientist to work in a world-class research group focused on emerging architectures and performance for advanced computing. This position resides in the Architectures and Performance Group (APG) in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). 
The APG designs and prototypes the scientific computing systems of tomorrow. The APG works closely with domain scientists to solve key computational challenges aligned with the U.S. Department of Energy (DOE) scientific mission. We conduct research in emerging computing paradigms such as neuromorphic, analog, and quantum computing. We collaborate with other groups across ORNL, as well as with other national laboratories, academia, and industry, to investigate the fast-moving and dynamic computing landscape. 
Major Duties/Responsibilities:<ul><li>
Work with project teams to create, evaluate, and publish novel research ideas, mentor students, and collaborate with partners and sponsors. Research activities include, but are not limited to:<ul><li>
Rapid prototyping and evaluation of experimental systems, including hardware, software, tools, and applications</li></ul></li></ul><ul><li>
Apply your proficiency in developing sophisticated software systems, such as operating systems, compilers, adaptive runtime systems, or scalable performance tools</li><li>
Study the performance, resiliency, power, and efficiency of modern and future high-performance computing systems under various workload characteristics through measurement, modeling, and simulation</li><li>
Publish papers in high-quality, refereed conferences and journals, such as SC, ASPLOS, ICRC, ISSCC, MICRO, ISCA, HPCA, ICPP, and IEEE TPDS</li><li>
Actively collaborate with industry, academia, government labs, and application developers across a variety of venues</li></ul> 
Additional Responsibilities:<ul><li>
Advance the reputation of ORNL through professional society leadership and involvement, as well as the organization of technical events</li><li>
Support group members by reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards</li><li>
Assist ORNL principal investigators in writing proposals for new projects</li><li>
Adhere to requirements for protecting proprietary or sensitive information and follow ORNL cybersecurity policies and guidelines</li></ul> 
Basic Qualifications:<ul><li>
Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application</li><li>
Strong record of impactful research aligned with one or more of the group&rsquo;s focus areas</li><li>
Experience with at least one emerging computing paradigm or technology, such as neuromorphic or analog computing, silicon photonics, cryogenic systems, carbon-nanotube devices, quantum computing, processing-in-memory, CXL, or advanced memory systems</li><li>
A well-established track record of research relevant to one or more of the group&rsquo;s areas of expertise</li></ul> 
Preferred Qualifications:<ul><li>
Strong programming skills in languages such as C++, Python, and preferably Julia</li><li>
Proficiency in hardware design using Verilog and high-level synthesis (HLS) for ASIC and FPGA platforms</li><li>
Demonstrated excellence in scientific writing and publication</li><li>
Strong interpersonal, oral, and written communication skills, with a high level of initiative and self-motivation</li><li>
Ability to thrive and grow within a dynamic, interdisciplinary research environment</li><li>
Established expertise and engagement with one or more relevant stakeholders or user communities aligned with the group&rsquo;s research areas</li></ul> 
Special Requirements:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. 
Please submit three letters of reference when applying for this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov. 
Instructions to upload documents to your candidate profile:<ul><li>
Log in to your account at jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select &lsquo;Add a Document&rsquo;</li></ul> 
Security Requirements:
For employment at ORNL, a Real ID-compliant form of identification will be required. Additionally, ORNL is subject to DOE access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and DOE Order 473.1A, which requires a favorable post-employment background investigation. 
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. 
For foreign national candidates:
If you have not resided in the United States for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Postdoctoral Research Associate, Emerging Architectures and Performance for Advanced Computing

<div>Requisition Id 16320 
Annual Salary Range: $100,400.00 - $150,600.00 
Work-Site Type: Remote 
ORNL offers a flexible work environment that supports both the organization and the employee. In addition, this position is considered remote-eligible for ORNL in pre-approved locations. Remote-eligibility is not a continued guarantee and could be subject to change based on evolving organizational needs. 
Note about pay range:
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay. Salary for this position will be commensurate with the final candidate&rsquo;s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US 
Overview:
We are seeking a Graphic Designer who will focus on supporting the Oak Ridge Leadership Computing Facility (OLCF). This position resides in the Graphics Group in the Creative Services Division, Communications and Community Engagement Directorate, at Oak Ridge National Laboratory (ORNL). 
Major Duties/Responsibilities:<ul><li>
Work proficiently in software programs including Adobe InDesign, Adobe Illustrator, Adobe Photoshop, and Microsoft PowerPoint.</li><li>
Work closely with leadership and internal customers to apply graphics expertise to produce timely and visually effective communications tools for distribution to internal and external stakeholders including co-workers and peers, industry, academia, government sponsors and the public at large.</li><li>
Participate in planning for and production of significant deliverables, such as annual reports, brochures, digital and physical signage, posters, infographics, presentations, R&amp;D achievement sheets and collateral for high-profile visits.</li><li>
Prioritize requests, coordinate and schedule workflow and facilitate production with printer or other vendors to meet tight, demanding deadlines and ensure cost-effectiveness.</li><li>
Ensure compliance with environment, safety, health, and quality program requirements.</li><li>
Follow internal review processes to ensure highest quality products.</li><li>
Engage with team members in all areas of the communications process and contribute to the overall mission.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A BS or BA degree in art, graphic design, or related field.</li><li>
A minimum of 8 &ndash; 10 years of experience in graphic design.</li><li>
Candidate will provide portfolio demonstrating applicable work.</li></ul> 
Preferred Qualifications:<ul><li>
Excellent attention to detail.</li><li>
The ability to understand, follow, and implement complex instructions.</li><li>
Strong organizational skills.</li><li>
Flexibility to handle multiple assignments for multiple clients simultaneously.</li><li>
Strong interpersonal skills.</li><li>
Ability to maintain professional and collaborative demeanor under pressure both independently and with all levels of leadership, researchers, and staff&mdash;in a team-based environment.</li><li>
Strong skills in solving problems and developing and implementing solutions.</li><li>
Excellent written and oral communication skills.</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.</li><li>
Proficient in multi-page layout and design.</li><li>
Experience with electronic newsletter design preferred.</li></ul> 
Visa Sponsorship: Visa sponsorship is not available for this position. 
Security, Credentialing, and Eligibility Requirements:<ul><li>
This position requires the ability to obtain and maintain an HSPD-12 PIV badge.</li><li>
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.</li><li>
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.</li><li>
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.</li></ul> 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. 
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Graphic Designer

<div>Requisition Id 16330 
Overview:
We are seeking a Research Associate who will support the Deposition Science and Technology (DSaT) Group in the Manufacturing Science Division (MSD) at Oak Ridge National Laboratory (ORNL). MSD resides in the Energy Science and Technology Directorate (ESTD). DSaT performs research and development on the processing of metallic material systems for extreme environment and high temperature applications. The Research Associate will contribute to the development of thermo-mechanical modeling tools to support process development for advanced manufacturing processes and of process-microstructure-property-performance relationships for high-temperature alloys and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) and computational homogenization are preferred. You will be expected to collaborate with research staff and industry partners in the development of multiscale modeling methods to support certification and qualification efforts for components produced by various advanced manufacturing processes. 
As part of our research team, you will engage with researchers with various backgrounds (e.g., materials science, mechanical behavior of materials, heat transfer) and interact closely with industry partners. These engagements will play a vital role in ensuring success of programs and the adoption by project sponsors, and in developing your network across academia and industry. You will also be involved in writing and supporting the development of proposals while taking the lead in publishing high impact papers. 
Major Duties/Responsibilities:<ul><li>
Participate in the development and implementation of nonlinear constitutive models into FE codes.</li><li>
Participate in the development and implementation of crystal plasticity constitutive models into FE codes for additively manufactured alloys.</li><li>
Participate in the development of multiscale modeling approaches to establish process-structure-property-performance relationships for structural materials.</li><li>
Apply advanced manufacturing process simulation tools to understand and mitigate the development distortion and residual stress.</li><li>
Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting basic and applied research in support of the Laboratory&rsquo;s missions.</li><li>
Present and report research results at workshops and conferences and publish key findings in peer-reviewed journals in a timely manner.</li><li>
Ensure compliance with environment, safety, health, and quality program requirements per ORNL&rsquo;s Standards-Based Management System (SBMS).</li><li>
Maintain strong dedication to the implementation and perpetuation of institution values and ethics.</li><li>
Support senior staff in the development and execution of projects that provide valued and timely deliverables to the various stakeholders.</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
Ph.D. in materials science and engineering, mechanical engineering, or related field.</li><li>
Experience in the development and implementation of constitutive models within commercial and/or open-source finite element software.</li><li>
A background in mechanical behavior of materials.</li></ul> 
Preferred Qualifications:<ul><li>
Demonstrated expertise in multi-physics FE simulations is preferred.</li><li>
Demonstrated expertise in using machine learning and optimization frameworks in conjunction with FE simulations to assist with component and/or process design is preferred.</li><li>
Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals.</li><li>
Excellent written and oral communication skills.</li><li>
Motivated self-starter with the ability to work independently, and to participate creatively in collaborative multi-disciplinary teams across the laboratory.</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs/objectives.</li></ul> 
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. 
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. 
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Associate Research Staff - Computational Solid Mechanics

<div>Requisition Id 16331
Overview:
We are seeking an Associate Research Staff Scientist who will focus on the processing and process development of high temperature metallic powder feedstocks. In addition, a knowledge of powder feedstock processing through advanced manufacturing (AM) processing modalities such as hot isostatic pressing (HIP), directed energy deposition, laser powder bed, or electron beam melting with a focus on energy applications are desired. Research will focus on applying the fundamental knowledge garnered from traditional high temperature metal processing such as powder metallurgy or electron beam zone melting to aid in the development of novel extreme environment metals to enable next generation energy system advancements. This position resides in the Deposition Science &amp; Technology Group in the Manufacturing Science Division, Energy Sciences Technology Directorate (ESTD) at the Oak Ridge National Laboratory (ORNL). 
As part of our research team, you will be among team members based at the Manufacturing Demonstration Facility (MDF), the Department of Energy&rsquo;s (DOE&rsquo;s) first facility established to provide affordable and convenient access to R&amp;D expertise, facilities, and tools to facilitate rapid adoption of advanced manufacturing technologies including additive manufacturing of alloys and composites. Additive manufacturing of high temperature materials such as refractory and nickel-based superalloys metals presents a new opportunity for these difficult to process materials. The selected candidate will work directly with the team to execute technical programmatic goals, while developing new research directions. Further, the candidate will perform fundamental research including but not limited to alloy design, selection, processing, and advanced material characterization. Further, the candidate will collaborate with staff researchers to develop the processing science for these novel metals for establishing process-structure-property relationships. 
Major Duties/Responsibilities:
<ul><li>Provide strategic scientific and technical leadership in the area of high temperature metals for additive manufacturing.</li><li>
Contribute to new and ongoing research in powder bed additive manufacturing of high temperature metals.</li><li>
Contribute to novel solutions to problems of national interest, and to the research and development necessary for the deployable implementation of those solutions.</li><li>
Represent ORNL&rsquo;s scientific capabilities through participation on national scientific committees, leadership in professional organizations, and presentation of research concepts and accomplishments to national audiences at all levels (scientific organizations, collaborators, funding agencies, etc.).</li><li>
Work within ORNL teams to develop requirements and proposals, conduct research, and produce working prototypes for demonstration.</li><li>
Contribute to peer-reviewed papers, technical reports, and proposals for internal and external release, and represent ORNL science and technology at conferences and workshops.</li><li>
Contribute to invention disclosures, transition of ORNL research to commercial use, market research, and industry/government activities to enable ORNL science and technology use in practice</li><li>
Deliver ORNL&rsquo;s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace &ndash; in how we treat one another, work together, and measure success.</li></ul> 
Basic Qualifications:<ul><li>
A PhD in mechanical engineering, materials science, welding engineering, or a directly related field</li><li>
A minimum of 1 years of experience in R&amp;D and scientific leadership.</li><li>
Knowledge of extreme environmental metals systems</li><li>
Demonstrated hands on working knowledge of advanced manufacturing equipment</li><li>
Working knowledge and experience with advanced materials characterization</li></ul> 
 Preferred Qualifications:<ul><li>
A minimum of 2 years of experience in R&amp;D and scientific leadership.</li><li>
A minimum of 2 years of experience with transmission electron microscopy</li><li>
Expert level knowledge of operating an SEM and associated detectors for data collection, i.e. EBSD and EDS</li></ul><ul><li>
Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals</li><li>
Excellent written and oral communication skills and the ability to communicate to an international, scientific audience</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory</li><li>
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs</li></ul> 
 Special Requirements:<ul><li>
Visa sponsorship is not available for this position</li><li>
This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.</li><li>
Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer.</li></ul> 
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. 
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. 
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. 
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. 
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. 
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Associate Research Staff - Advanced Manufacturing of Extreme Environment Metals

<div>Requisition Id 15769<div><div>
Overview:
The Computational Hydrology and Atmospheric Science (CHAS) Group at Oak Ridge National Laboratory (ORNL) is seeking a highly motivated Postdoctoral Research Associate in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and data-model integration, leveraging the U.S. Department of Energy&rsquo;s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. 
Major Duties/Responsibilities:<ul><li>
Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions.</li><li>
Design and implement physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction.</li><li>
Conduct multimodal, multiscale data analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation.</li><li>
Collaborate with a multidisciplinary team of hydrologists, Earth scientists, and computational scientists to leverage leadership-class computing resources for large-scale model training, testing, and deployment.</li><li>
Contribute to the development of scalable, explainable, and uncertainty-aware AI methods that enhance model robustness, reliability, and scientific discovery.</li><li>
Publish research findings in high-impact journals and present results at national and international conferences.</li><li>
Engage with collaborators across DOE laboratories, universities, and partner agencies to broaden the applications of AI-enabled hydrological modeling.</li><li>
Ensure compliance with ORNL&rsquo;s safety, security, quality, and environmental standards while carrying out all research activities.</li></ul> 
Technical Questions:
Please contact Dan Lu lud1@ornl.gov 
Basic Qualifications:<ul><li>
A Ph.D. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon).</li><li>
Demonstrated experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction.</li><li>
Strong background in computational sciences, including numerical methods, high-performance computing (HPC), or large-scale data analysis.</li><li>
Experience in applying AI/ML techniques to hydrological and Earth sciences.</li><li>
Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C++.</li><li>
Evidence of scholarly productivity, including peer-reviewed publications and conference presentations.</li><li>
Excellent written and oral communication skills and the ability to work effectively in a collaborative, multidisciplinary team environment.</li></ul> 
Preferred Qualifications:<ul><li>
Knowledge of uncertainty quantification methods and causal inference for complex environmental systems.</li><li>
Experience with large-scale Earth system simulations, particularly using the Energy Exascale Earth System Model (E3SM).</li><li>
Background in coastal and compound flooding simulations, including subsurface&ndash;surface and hydrodynamic interactions.</li><li>
Demonstrated ability and strong motivation to conduct innovative, high-impact research and disseminate results through peer-reviewed publications and conference presentations.</li></ul> 
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding. 
ORNL Ethics and Conduct:
As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity 
Benefits at ORNL:
UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities. 
Relocation:
UT Battelle offers a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL</div></div> 
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. 
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. 
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</div>

Postdoctoral Research Associate - AI for Hydrological Modeling