senior materials scientist

Join the IPG Team!
<br>Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions—we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
<br><br>
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
<br><b>Title:</b> Senior Data Scientist
<br><b>Department:</b> Research and Development
<br><b>Immediate Supervisor:</b> R&D Vice President
<br><b>Status:</b> Exempt Salaried
<br><br>
<b>Position Purpose:</b> The Senior Data Scientist will support R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
<br><br>
Principle Accountabilities
<br><ul>
<li>Partner with polymer scientists, chemists, and engineers to support bio polymer research and development using data-driven methods</li>
<li>Analyze and model experimental, formulation, and process data to identify structure–property–process relationships</li>
<li>Develop predictive models to support:</li>
<li>Material performance and property optimization</li>
<li>Formulation design and screening</li>
<li>Scale up and process optimization</li>
<li>Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines</li>
<li>Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis</li>
<li>Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets</li>
<li>Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D</li>
<li>Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders</li>
<li>Understanding of data visualization best practices</li>
<li>Experience working with batch or streaming data processes a plus</li>
<li>Contribute to data dictionaries and process flow diagrams for complex data solutions</li>
<li>Mentor junior data scientists or technical staff and contribute to data science best practices within R&D</li>
<li>Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research</li>
</ul>
Essential Skills and Experience
<br><ul>
<li>Bachelor’s degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master’s or PhD preferred</li>
<li>10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred</li>
<li>Strong proficiency in Python and/or R for data analysis and modeling</li>
<li>Solid experience with SQL and working with structured and semi-structured datasets</li>
<li>Strong foundation in statistics, experimental design, and multivariate analysis</li>
<li>Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data</li>
<li>Ability to work effectively in a cross-functional R&D environment</li>
<li>Strong communication skills with the ability to translate complex analyses into actionable insights</li>
<li>Familiarity with bio polymers, sustainable materials, or polymer processing, preferred</li>
<li>Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred</li>
<li>Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred</li>
<li>Prior experience mentoring or leading technical projects, preferred</li>
</ul>
Why Choose IPG?
<br>At IPG, you will find more than just a job—you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
<br>Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
<br>With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
<br>We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
<br>You belong here. Join us today!

Data Scientist - Materials R&D - Remote-Travel

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The North America Stores GenAI Evaluation Media (GEM) team is seeking a Senior Applied Scientist to help shape the future of visual shopping experiences. We're building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences.<br>
<br>
As a Senior Applied Scientist on the team, you will own and define the scientific vision, strategy, and roadmap for agentic AI capabilities that inform and guide the customer's shopping journey through visuals. This includes architecting and advancing core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. You will establish the technical direction for foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life.<br>
<br>
Your scientific leadership will emphasize accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. You will set the long-term research agenda, bringing together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires defining and institutionalizing robust evaluation frameworks and metrics, influencing and aligning cross-functional partners across organizations, validating asset effectiveness across diverse customer touch points, identifying whitespace opportunities, and staying at the forefront of rapid advances in AI technology.<br>
<br>
The ideal candidate will have deep and broad technical expertise in Computer Vision, Generative AI, or related fields with a proven track record of connecting scientific work to customer and business outcomes at scale. You will serve as a technical leader and thought partner to scientists, engineers, and senior stakeholders across Amazon, mentoring junior scientists, raising the scientific bar, and delivering innovation while upholding a culture of scientific excellence and customer obsession. This role requires both rigorous research skills and practical engineering instincts, with a focus on delivering solutions that scale and a demonstrated ability to navigate ambiguity, make high-judgment trade-offs, and drive alignment across competing priorities. You will be expected to contribute to the broader scientific community through publications, patents, and internal knowledge sharing. This is a unique opportunity to shape the technical strategy for visual commerce through applied AI research, building the systems that will define how hundreds of millions of customers discover and evaluate products and styles through visual experiences.<br>
<br>
Key job responsibilities<br>
Innovation &amp; Technical Execution<br>
<br>
Define the research roadmap and advance core science primitives for vision and language understanding, visual content generation and editing, virtual try-on, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI<br>
Architect visual agentic systems, making high-judgment trade-offs across visual quality, relevance, latency, cost, and long-term extensibility<br>
Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points<br>
Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance<br>
Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact<br>
Drive development and deployment of scalable agentic systems for visual content understanding and generation, ensuring architectural decisions support long-term platform evolution<br>
Set and continuously raise the scientific and engineering bar across the team<br>
Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability<br>
Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents<br>
<br>
Cross-functional Influence &amp; Leadership<br>
<br>
Influence product and engineering roadmaps by partnering with senior leadership to shape customer-facing features grounded in scientific insight<br>
Drive technical alignment across multiple teams and organizations within Amazon, resolving ambiguity and building consensus on approaches<br>
Communicate research vision, findings, and technical trade-offs persuasively to executive, technical, and non-technical stakeholders, shaping investment decisions<br>
Mentor and develop junior and mid-level scientists, accelerating their growth and impact</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in building machine learning models for business application</li><li>Experience with conducting research in a corporate setting</li><li>Experience with neural deep learning methods and machine learning</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Senior Applied Scientist, GEM

Sandia National Laboratories

<div><div><div><h2 class="jobSectionHeader"><b>About Sandia</b></h2><div><br>
<div><div>
</div><p>Sandia National Laboratories is the nation&rsquo;s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:</p><ul>
<li>Challenging work with amazing impact that contributes to security, peace, and freedom worldwide</li>
<li>Extraordinary co-workers</li>
<li>Some of the best tools, equipment, and research facilities in the world</li>
<li>Career advancement and enrichment opportunities</li>
<li>Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)</li>
<li>Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*</li></ul><p>
World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov</p><div><ul><li><br>
These benefits vary by job classification.</li></ul></div>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
What Your Job Will Be Like</b></h2>
<div>
<div></div><div><div>We are seeking an Analytical Chemist.</div><div>
</div><div>
On any given day, you may be called on to:</div><ul><li>
Develop new methodologies or tools for measuring gas, liquid, or solid compositions and their impurities</li><li>
Utilize existing tools and technologies in unique ways to solve complex problems</li><li>
Further the understanding of materials aging, decomposition, or interaction with other materials</li><li>
Pursue research funding internally and externally</li><li>
Learn about a variety of processes and products and select appropriate analytical tools to evaluate those processes and products</li><li>
Communicate effectively with internal customers, determine their analytical measurement needs, design protocols and test methods, collect data, and report on results</li><li>
Work collaboratively with other staff, technologists and others both within and external to the Analytical Science &amp; Corrosion department</li><li>
Publish and/or present the results of your work both internally and externally</li></ul><p><br>
This is an outstanding opportunity for a qualified individual to participate in groundbreaking research while contributing to a large variety of problems faced by the national security complex and to bring their skills to bear in solving these problems.</p><p>
Due to the nature of the work, the selected applicant must be able to work onsite.</p><br>
<p></p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Salary Range</b></h2><div><br>
<div><div>
</div><p>$117,500 - $235,700</p><ul><li>Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications We Require</b></h2>
<div>
<div></div><div><ul><li>A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development.</li><li>
Ability to acquire and maintain a DOE Q security clearance</li></ul><p></p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications We Desire</b></h2><div><br>
<div><div>
</div><p>The ideal R&amp;D Material Scientist candidate for Sandia National Laboratories will in addition possess the following:</p><ul><li>
Graduate degree in Materials Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).</li><li>
Experience in a research and development environment.</li><li>
Experience with materials characterization techniques.</li><li>
Experience working on teams consisting of multidisciplinary and multi-disciplinary experimentalists, modelers, and theorists with a common goal.</li><li>
Effective interpersonal skills for giving presentations, preparing reports, writing articles, and explaining the important aspects of technical work to customers.</li></ul><p>
The ideal candidate will also have the following:</p><ul><li>
PhD in Chemistry, Materials Science, Chemical Engineering, or closely related science or engineering field, plus 1 or more years of postgraduate experience</li><li>
Solid interpersonal skills as evidenced by a record of publication of results in peer-reviewed journals and presentations at professional technical conferences (A publication list should be included as in your resume)</li><li>
Minimum of 2 years proven experience in a research laboratory</li><li>
Experience with proposing and acquiring funding for original scientific research</li><li>
Research program or expertise that can grow the research portfolio of the department</li><li>
Experience working with highly hazardous chemicals (HF, strong acids, etc.)</li><li>
Experience with inorganic analytical techniques (ICP/MS, ICP/OES, and digestion methods)</li><li>
Experience with separations (gas and liquid) and detectors (mass spectrometry, FID, TCD, UV/VIS)</li><li>
Understanding of and experience with mass spectrometry ionization methods (ESI, APCI, EI, CI, MALDI)</li><li>
Advanced data processing skills with Masslynx and/or Chemstation and/or Masshunter/AMDIS</li><li>
Ability to prioritize tasks and execute multiple projects simultaneously</li><li>
A dedication to quality, safety, collaboration, and teamwork<br>
</li></ul>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>About Our Team</b></h2><div><br>
<div><div>
</div><p>The reliability of devices, components, and ultimately systems is directly affected by the properties and interactions of their constituent materials. The prime goal of the Analytical Science and Corrosion Department is to ensure that effective materials-related information is provided to customers who design and field high-consequence hardware, such that long-term reliability will be attained. Our department's R&amp;D activities have significant focus on the needs of Sandia's Nuclear Deterrence program customers. We also provide support to customers in other areas including Energy and Environment and National Security Programs. We have expertise in gas/solid interactions, corrosion and electrochemistry, and the aging and mechanical properties of ceramics, glasses and other brittle materials. We provide this expertise and support to our customers during all phases of design, production, storage, use, and retirement.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Posting Duration</b></h2><div><br>
<div><div>
</div><p>This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Security Clearance</b></h2><div><br>
<div><div>
</div><p>Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.</p><p>
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
EEO</b></h2><div><br>
<div><div>
</div><p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
NNSA Requirements for MedPEDs</b></h2><div><br>
<div><div>
</div><p>If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.</p><p>
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.</p></div></div></div></div></div>

Senior/Principal R&D S&E, Materials Science - Analytical Chemistry, Onsite

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 To qualify, you must have:
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Hands on expertise designing and implementing GenAI solutions on Azure
  </li>
  <li>
   Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
  </li>
  <li>
   Hands on experience with python for prototyping and implementing GenAI solutions
  </li>
  <li>
   Expertise optimizing advanced RAG architectures and designing information retrieval system
  </li>
  <li>
   Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
  </li>
  <li>
   Understanding on the latest Agentic and RAG research and innovation areas
  </li>
  <li>
   Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 A highly curious and inquisitive approach to problem-solving
 <br/>
 <br/>
 In-depth knowledge of the latest developments in AI and machine learning
 <br/>
 <br/>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

Gates Corporation

<div>
 <p>
  Are you inspired by challenging the status quo? Do you thrive in collaborative environments that drive results? If so, Gates could be for you.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Gates is a leading manufacturer of application-specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, &amp; 3D printers just to name a few. Because why not do it all?
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The Senior Director, Materials Science &amp; Engineering is a global leader responsible for setting the strategic direction, development roadmap, and operational excellence of Gates&rsquo; materials science portfolio. This role leads multiple director- and manager-level teams across rubber, non-rubber, reinforcement/fabric, and materials engineering, ensuring the organization delivers world-class materials solutions that strengthen Gates&rsquo; competitive position.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role defines and executes multi-year, global strategies for materials innovation, standardization, and manufacturability&mdash;partnering closely with Product and Process Development, Operations, Procurement, and regional Innovation and Engineering organizations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Duties And Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Strategic Leadership &amp; Vision
  </strong>
 </p>
 <ul>
  <li>
   Sets the global strategy for materials science and engineering, establishing multi-year roadmaps that enable future product, process, and manufacturing competitiveness.
  </li>
  <li>
   Anticipates industry and technology trends and translates them into actionable plans.
  </li>
  <li>
   Ensures programs are resourced, prioritized, and delivered on schedule.
  </li>
 </ul>
 <p>
  <strong>
   Operational &amp; Engineering Excellence
  </strong>
 </p>
 <ul>
  <li>
   Leads global engineering groups to deliver standardized, cost-competitive, high-performance materials.
  </li>
  <li>
   Drives best practices in formulation, testing, and manufacturing across regions.
  </li>
  <li>
   Ensures alignment between materials engineering, operations, and product development.
  </li>
 </ul>
 <p>
  <strong>
   Enterprise Leadership &amp; Organizational Management
  </strong>
 </p>
 <ul>
  <li>
   Leads and develops director- and manager-level teams globally.
  </li>
  <li>
   Oversees talent strategy, organizational design, and budget management.
  </li>
 </ul>
 <p>
  <strong>
   Decision Making &amp; Problem Solving
  </strong>
 </p>
 <ul>
  <li>
   Resolves complex technical challenges using structured methodologies.
  </li>
  <li>
   Makes data-driven decisions balancing feasibility, business impact, and risk.
  </li>
 </ul>
 <p>
  <strong>
   Collaboration &amp; Technical Integration
  </strong>
 </p>
 <ul>
  <li>
   Serves as a senior advisor to Product and Process Development.
  </li>
  <li>
   Provides technical direction to Operations and Process Engineering.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Supervisory Responsibilities
  </strong>
 </p>
 <p>
  Leads multiple manager-level positions across global materials teams, including rubber, non-rubber, reinforcement/fabric, and materials engineering.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements And Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Degree in Materials Science, Chemical Engineering, Rubber/Plastics Engineering, or related field, with a preference for Masters or PhD degrees.
  </li>
  <li>
   15+ years of increasing responsibility in materials development, engineering leadership, and manufacturing operations.
  </li>
  <li>
   10+ years leading large, complex, global engineering organizations.
  </li>
  <li>
   Deep expertise in rubber and non-rubber materials science.
  </li>
  <li>
   Proven ability to develop multi-year strategic plans and roadmaps.
  </li>
  <li>
   Strong capability to lead cross-functional, cross-cultural teams.
  </li>
  <li>
   Excellent communication and executive presentation skills.
  </li>
  <li>
   Demonstrated success driving major technical programs and organizational transformation.
  </li>
  <li>
   Strong financial and business acumen.
  </li>
  <li>
   Domestic and international travel required.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pay &amp; Benefits
  </strong>
 </p>
 <ul>
  <li>
   Full-Time
  </li>
  <li>
   Salary: $225,000-$275,000
  </li>
  <li>
   Bonus Eligible: 25%
  </li>
  <li>
   Equity Eligible
  </li>
  <li>
   Relocation is provided
  </li>
  <li>
   Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
  </li>
  <li>
   Eligible for Flexible Time Off
  </li>
  <li>
   401(k): 3% company contribution and additional 3% company match
  </li>
  <li>
   Tuition Reimbursement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WHY GATES?
  </strong>
 </p>
 <p>
  Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate in a vast amount of time zones we operate as 'One Gates' and have a common goal of pushing the boundaries of materials science. We invest in our people, bringing real-world experience that enables us to solve our customers' diverse challenges of today and anticipate those of tomorrow.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   WORK ENVIRONMENT
  </strong>
 </p>
 <p>
  Gates is an Equal Opportunity and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of race, sex, color, religion, age, disability, pregnancy, citizenship, sexual orientation, gender identity, national origin, protected veteran status, genetic information, marital status, or any other consideration defined by law.
 </p>
 <p>
  While performing the duties of this job, the employee is frequently required to sit; use hands and fingers to work with objects, tools, or controls; and use office equipment including computers, telephones, and/or copiers/scanners. The employee must frequently lift and/or move up to 10 pounds.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For individuals assigned and/or hired to work in Colorado, Gates is required by law to include a reasonable estimate of the compensation for this role. This compensation range is specific to the State of Colorado and takes into account various factors that are considered in making compensation decisions, including but not limited to the candidate's relevant experience, qualifications, skills, competencies, and proficiency for the role.
 </p>
</div>


Senior Director, Materials Science and Engineering

Oak Ridge National Laboratory

<div><p>Requisition Id 16127</p><p><b>
Overview:
</b></p><p>We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range of advanced materials. Research efforts will include the application of density functional theory packages and in-house codes, and the development of supplemental numerical tools, to describe competing structural phases and the vibrational and electronic structure in materials with defects and disorder. This effort will further seek to implement strategies to leverage machine learning techniques to accelerate the design and discovery of novel materials.</p><p></p><p><br>
The Materials Theory Group has a background in using first principles methods to examine electronic and thermal transport, magnetic properties of advanced materials, thermoelectrics, functional oxides and weakly bonded materials. The incumbent will have opportunities to develop research methodologies as well as collaborate with experimental groups at Oak Ridge National Laboratory (ORNL). This position resides in the Materials Theory Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at ORNL.</p><p></p><p><b><br>
Major Duties/Responsibilities:
</b></p><ul><li>Develop and use first principles methods to describe phase stability, magnetic structure, phonons, and electrons in the presence of defects and disorder</li><li>
Develop and use AI/ML approaches to understand, design and discover novel condensed-phase materials</li><li>
Responsible for presenting and reporting key research results and publishing scientific results in peer-reviewed journals in a timely manner</li><li>
Maintain strong commitment to the implementation and perpetuation of ORNL core values and ethics</li></ul><p></p><p><b><br>
Basic Qualifications:</b></p><ul><li>
A PhD related to computational or theoretical physics, chemistry, materials science, or other closely related field completed within the last 5 years</li><li>
Experience with density functional theory methods including electronic and phonon band structure calculations using Quantum Espresso, VASP, or similar packages</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Demonstrated success in applying AI/ML to materials science problems</li><li>
An excellent record of productive and creative research demonstrated by publications in peer-reviewed journals</li><li>
Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience</li><li>
Scientifically curious, self-motivated, and ability to participate creatively in a collaborative team environment</li><li>
Demonstrated experience with electronic structure methods for description of materials properties</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><p></p><p><b><br>
Special Requirements:</b></p><p><b>
Postdocs:</b></p><p>
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.</p><p><br>
</p><p><b>Letters of Recommendation:</b></p><p>
Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.</p><p></p><p><br>
Instructions to upload documents to your candidate profile:</p><ul><li>
Login to your account via jobs.ornl.gov</li><li>
View Profile</li><li>
Under the My Documents section, select Add a Document</li></ul><p></p><p><b><br>
Security, Credentialing, and Eligibility Requirements:</b></p><p>
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.<br>
<br>
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.<br>
<br>
For foreign national candidates:<br>
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.</p><p></p><p><b><br>
About ORNL:</b></p><p>
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.</p><p></p><p><br>
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.</p><p></p><p><br>
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.</p><p></p><p><br>
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.</p><p>
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.</p><p><br>
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.</p><p><br>
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.</p></div>

Postdoctoral Research Associate- Materials Theory

Lawrence Livermore National Laboratory

<div><h3 class="jobSectionHeader"><b>Company Description</b></h3>
<p><b>Join us and make YOUR mark on the World!</b></p><p>
Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.</p><p>
Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.</p>
<h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p>We have an opening for a <b>Postdoctoral Researcher</b> to conduct research in advanced manufacturing methods for energetic materials (explosives, pyrotechnics, propellants). You will actively participate in research developing additive manufacturing techniques to improve our understanding of the process, structure, property, performance, and safety relationships of energetic materials. This position is in the Aging, Compatibility, and Manufacturing of Energetics (ACME) group within the Energetic Materials &amp; Design (EMD) section of the Materials Science Division, supporting the Energetic Materials Center (EMC).</p><p><i>
This position may offer a hybrid schedule, which includes the flexibility to work from home one or more days per week, after a probationary period. The specifics of the hybrid schedule, including the exact number of days required in the office and virtual work options may vary based on the needs of the team and the organization.</i></p><p><b>
You will</b></p><ul><li>
Conduct research on advanced manufacturing of energetic materials to improve understanding between the manufacturing process, materials structure, mechanical properties, and detonation performance.</li><li>
Develop methods to investigate multi-material compaction in energetic materials and perform analysis to predict resultant materials properties and improve processes.</li><li>
Contribute to and actively participate in the conception, design and execution of research to address defined problems.</li><li>
Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.</li><li>
Collaborate with scientists in a multidisciplinary team environment to accomplish research goals.</li><li>
Maintain and establish laboratory protocols.</li><li>
Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.</li><li>
Perform other duties as assigned.</li></ul>
<h3 class="jobSectionHeader"><b>Qualifications</b></h3>
<ul><li>Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship<br>
PhD in materials science, mechanical engineering, chemical engineering, or a related field.</li><li>
Experience in energetic materials process development, materials formulation, diagnostics development, and computational data analysis.</li><li>
Knowledgeable of the concepts of additive manufacturing, compaction experimentation and modeling, and mechanical testing.</li><li>
Ability as an innovative experimentalist with a broad range of experience in experimental design, techniques and execution.</li><li>
Ability to develop independent research projects through publication of peer-reviewed literature.</li><li>
Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.</li><li>
Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.</li></ul><p><b>
Qualifications We Desire</b></p><ul><li>
Experience with energetic materials formulation, processing, and testing.</li><li>
Experience in computational tools for data analysis (e.g. Matlab, Python).</li><li>
Knowledge in additive manufacturing techniques, including development of tool paths for both 3-axis and 6-axis platforms.</li></ul><p><b>
Pay Range</b></p><p>
$123,048 Annually</p><p>
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.</p>
<h3 class="jobSectionHeader"><b>Additional Information</b></h3>
<p>#LI-Hybrid</p><div></div><p><b>
Position Information</b></p><p>
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.</p>
<p><b>
Why Lawrence Livermore National Laboratory?</b></p><ul><li>
Included in 2026 Best Places to Work by Glassdoor!</li><li>
Flexible Benefits Package</li><li>
401(k)</li><li>
Relocation Assistance</li><li>
Education Reimbursement Program</li><li>
Flexible schedules (*depending on project needs)</li><li>
Our values - visit https://www.llnl.gov/inclusion/our-values</li></ul>
<p><b>
Site 300</b></p><p>
Site 300 is an experimental test site operated by LLNL. Situated on 7,000 acres in rural foothills approximately six miles southwest of downtown Tracy and 15 miles southeast of Livermore, Site 300 hosts approximately 200 employees with expertise in such fields as engineering, chemistry, biology, and environmental restoration. Employees assigned to work at Site 300 may be exposed to the organism that causes San Joaquin Valley Fever (coccidioidomycosis<i>).</i></p>
<p><b>
Security Clearance</b></p><p>
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.</p>
<p><b>
Pre-Employment Drug Test</b></p><p>
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p>
<p><b>
Wireless and Medical Devices</b></p><p>
Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.</p><p>
If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.</p>
<p><b>
How to identify fake job advertisements</b></p><p>
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under &ldquo;Find Your Job&rdquo; of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.</p><p>
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</p>
<p><b>
Equal Employment Opportunity</b></p><p>
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.</p><p><b>
Reasonable Accommodation</b></p><p>
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.</p>
<p><b>
California Privacy Notice</b></p><p>
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.</p></div><div></div>

Energetic Materials Advanced Manufacturing - Postdoctoral Researcher

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