postdoc researcher

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

Texas A&M University Corpus Christi

<div><p><b>Job Title</b></p>
Postdoctoral Research Associate<p></p><p><b>
Agency</b></p>
Texas A&amp;M University - Corpus Christi<p></p><p><b>
Department</b></p>
College of Science - Math/Statistics Sciences<p></p><p><b>
Proposed Minimum Salary</b></p>
Commensurate<p></p><p><b>
Job Location</b></p>
Corpus Christi, Texas<p></p><p><b>
Job Type</b></p>
Staff<p></p><p><b>
Job Description</b></p><div><p><b><i>
TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47 states and 54 foreign nations. We employ over 1,400 full-time and 2,000 part-time Islanders (including students/GAs). The University attracts highly talented faculty and staff and offers an array of undergraduate and graduate degrees, including doctoral programs. As a member of the Texas A&amp;M University System, TAMU-CC benefits from a range of resources, increased visibility and influence, and opportunities to collaborate in mutually beneficial ways with peers across member institutions and associated agencies.</i></b></p></div><p></p><div><div><div><div><p><b><i><br>
TAMU-CC&rsquo;s beautiful campus is located on a 240-acre island on Corpus Christi Bay and was ranked #1 College by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities.</i></b></p><p></p><p><b><i><br>
</i></b></p></div></div></div></div><p></p><p><b>PURPOSE</b></p><p>
The purpose of the position is to assist Dr. Rupert in his research agenda, and to teach courses in the Department of Mathematics and Statistics at TAMUCC. The postdoc will bring their expertise in algebra and representation theory, expand research capacity of Dr. Rupert, facilitate increasing the number of publications and grant success, and provide an opportunity for Dr. Rupert to mentor a future generation of academic researchers.</p><p></p><p><b>
DESCRIPTION</b></p><p><b>
Functional Area 1: Research
</b></p><p><b>Percent Effort: 65%</b></p><ul><li><p>
Perform academic research relating to Algebra and Representation Theory</p></li><li><p>
Work on and publish papers</p></li></ul><p></p><p><b>
Functional Area 2: Teaching</b></p><p><b>
Percent Effort: 30%</b></p><ul><li><p>
Teach two full semester courses per year.</p></li><li><p>
Delivering lectures and teaching materials that suit algebra and representation theory curriculum</p></li><li><p>
Grading assignments, quizzes, exams</p></li><li><p>
Holding office hours</p></li><li><p>
Support and promote academic missions of the college. algebra and representation theory in general.</p></li></ul><p></p><p><b>
Functional Area 3: Other</b></p><p><b>
Percent Effort: 5%</b></p><ul><li><p>
Perform other duties as assigned</p></li></ul><p></p><p><b>
QUALIFICATIONS</b></p><ul><li><p>
PhD in mathematics on a topic related to algebra or representation theory.</p></li><li><p>
Publications in algebra or representation theory.</p></li><li><p>
Independent, self-motivated, and well-organized</p></li><li><p>
Good verbal and written communication skills</p></li></ul><p></p><p><b>
PREFERRED QUALIFICATIONS</b></p><ul><li><p>
Ability to work with various faculty members, undergraduate and graduate students.</p></li><li><p>
Experience in coordinating/ managing research projects.</p></li><li><p>
Teaching experience in a university setting.</p></li><li><p>
Knowledge of modern teaching and learning techniques.</p></li><li><p>
Experience using LaTeX for professional article writing.</p></li></ul><p></p><p><b>
SALARY: Up to $4,166.67 Monthly ($50,000.00 Annual, Approximately)</b>
</p><p></p><p><i>NOTE: </i><b><i>Employment may be impacted by the Presidential proclamation issued on September 19, 2025 and the moratorium issued by Texas Governor Abbott on January 27, 2026.</i></b></p><p></p><p><b>
BENEFITS </b><b><i>(rules, policies, eligibility apply)</i></b></p><p><i>
From our generous </i><i>benefits package</i> <i>and professional development opportunities, to our retirement programs and our commitment to service excellence, the Island University is an engaging and rewarding place to work.</i></p><p></p><p><i>
Insurance</i></p><ul><li><p>
Medical</p><ul><li><p>
$0 - $30 per month for Employee Only coverage after university contribution ($920 value).</p></li><li><p>
Up to 83% of premium covered by the university:</p><ul><li><p>
Employee and Spouse</p></li><li><p>
Employee and Children</p></li><li><p>
Employee and Family coverage</p></li></ul></li></ul></li><li><p>
Dental &amp; Vision</p></li><li><p>
Life Insurance, Accidental D&amp;D, Long Term Disability, Flexible Spending Account and Day Care Spending Account</p></li></ul><p></p><p><i>
On-campus wellness opportunities</i></p><p></p><p><i>
Work Life Solutions:</i></p><ul><li><p>
Counseling, Work Life Assistance, Financial Resources, and Legal Resources</p></li></ul><p></p><p><i>
Tuition Benefits:</i></p><ul><li><p>
Public Loan Forgiveness</p></li><li><p>
Book scholarships</p></li><li><p>
100% tuition coverage for up to 18 credit hours per fiscal year (other rules may apply).</p></li></ul><p></p><p><i>
Retirement</i></p><ul><li><p>
Teacher Retirement System of Texas (TRS) or Optional Retirement Plan (ORP)</p></li><li><p>
Voluntary Tax Deferred Account/Deferred Compensation Plan</p></li></ul><p></p><p><i>
Time Off:</i></p><ul><li><p>
8+ hours of vacation paid time off every month.</p></li><li><p>
8 hours of sick leave time off every month.</p></li><li><p>
8 hours of paid time off for Birthday leave.</p></li><li><p>
12-15 paid holidays each year.</p></li></ul><p></p><p>
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution&rsquo;s verification of credentials and/or other information required by the institution&rsquo;s procedures, including the completion of the criminal history check.</p><p></p><p>
Equal Opportunity/Veterans/Disability Employer.</p></div>

Postdoctoral Research Associate

Texas A&M University

<div><p><b>Job Title
</b></p>Postdoctoral Research Associate
<p></p><p><b>Agency
</b></p>Texas A&amp;M University - Corpus Christi
<p></p><p><b>Department
</b></p>College of Science - Math/Statistics Sciences
<p></p><p><b>Proposed Minimum Salary
</b></p>Commensurate
<p></p><p><b>Job Location
</b></p>Corpus Christi, Texas
<p></p><p><b>Job Type
</b></p>Staff
<p></p><p><b>Job Description
</b></p><div><p><b><i>TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47 states and 54 foreign nations. We employ over 1,400 full-time and 2,000 part-time Islanders (including students/GAs). The University attracts highly talented faculty and staff and offers an array of undergraduate and graduate degrees, including doctoral programs. As a member of the Texas A&amp;M University System, TAMU-CC benefits from a range of resources, increased visibility and influence, and opportunities to collaborate in mutually beneficial ways with peers across member institutions and associated agencies.<br>
</i></b></p></div><p></p><div><div><div><div><p><b><i>TAMU-CC&rsquo;s beautiful campus is located on a 240-acre island on Corpus Christi Bay and was ranked #1 College by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities.<br>
</i></b></p><p></p><p><b><i>Learn more information </i></b><b><i>here </i></b><b><i>!
</i></b></p></div></div></div></div><p></p><p><b>PURPOSE
</b></p><p>The purpose of the position is to assist Dr. Rupert in his research agenda, and to teach courses in the Department of Mathematics and Statistics at TAMUCC. The postdoc will bring their expertise in algebra and representation theory, expand research capacity of Dr. Rupert, facilitate increasing the number of publications and grant success, and provide an opportunity for Dr. Rupert to mentor a future generation of academic researchers.
</p><p></p><p><b>DESCRIPTION
</b></p><p><b>Functional Area 1: Research
</b></p><p><b>Percent Effort: 65%
</b></p><ul><li><p>Perform academic research relating to Algebra and Representation Theory
</p></li><li><p>Work on and publish papers
</p></li></ul><p></p><p><b>Functional Area 2: Teaching
</b></p><p><b>Percent Effort: 30%
</b></p><ul><li><p>Teach two full semester courses per year.
</p></li><li><p>Delivering lectures and teaching materials that suit algebra and representation theory curriculum
</p></li><li><p>Grading assignments, quizzes, exams
</p></li><li><p>Holding office hours
</p></li><li><p>Support and promote academic missions of the college. algebra and representation theory in general.
</p></li></ul><p></p><p><b>Functional Area 3: Other
</b></p><p><b>Percent Effort: 5%
</b></p><ul><li><p>Perform other duties as assigned
</p></li></ul><p></p><p><b>QUALIFICATIONS
</b></p><ul><li><p>PhD in mathematics on a topic related to algebra or representation theory.
</p></li><li><p>Publications in algebra or representation theory.
</p></li><li><p>Independent, self-motivated, and well-organized
</p></li><li><p>Good verbal and written communication skills
</p></li></ul><p></p><p><b>PREFERRED QUALIFICATIONS
</b></p><ul><li><p>Ability to work with various faculty members, undergraduate and graduate students.
</p></li><li><p>Experience in coordinating/ managing research projects.
</p></li><li><p>Teaching experience in a university setting.
</p></li><li><p>Knowledge of modern teaching and learning techniques.
</p></li><li><p>Experience using LaTeX for professional article writing.
</p></li></ul><p></p><p><b>SALARY: Up to $4,166.67 Monthly ($50,000.00 Annual, Approximately)
</b></p><p></p><p><i>NOTE: </i><b><i>Employment may be impacted by the Presidential proclamation issued on September 19, 2025 and the moratorium issued by Texas Governor Abbott on January 27, 2026.
</i></b></p><p></p><p><b>BENEFITS </b><b><i>(rules, policies, eligibility apply)
</i></b></p><p><i>From our generous </i><i>benefits package </i><i>and professional development opportunities, to our retirement programs and our commitment to service excellence, the Island University is an engaging and rewarding place to work.
</i></p><p></p><p><i>Insurance
</i></p><ul><li><p>Medical
</p><ul><li><p>$0 - $30 per month for Employee Only coverage after university contribution ($920 value).
</p></li><li><p>Up to 83% of premium covered by the university:
</p><ul><li><p>Employee and Spouse
</p></li><li><p>Employee and Children
</p></li><li><p>Employee and Family coverage
</p></li></ul></li></ul></li><li><p>Dental &amp; Vision
</p></li><li><p>Life Insurance, Accidental D&amp;D, Long Term Disability, Flexible Spending Account and Day Care Spending Account
</p></li></ul><p></p><p><i>On-campus wellness opportunities
</i></p><p></p><p><i>Work Life Solutions:
</i></p><ul><li><p>Counseling, Work Life Assistance, Financial Resources, and Legal Resources
</p></li></ul><p></p><p><i>Tuition Benefits:
</i></p><ul><li><p>Public Loan Forgiveness
</p></li><li><p>Book scholarships
</p></li><li><p>100% tuition coverage for up to 18 credit hours per fiscal year (other rules may apply).
</p></li></ul><p></p><p><i>Retirement
</i></p><ul><li><p>Teacher Retirement System of Texas (TRS) or Optional Retirement Plan (ORP)
</p></li><li><p>Voluntary Tax Deferred Account/Deferred Compensation Plan
</p></li></ul><p></p><p><i>Time Off:
</i></p><ul><li><p>8+ hours of vacation paid time off every month.
</p></li><li><p>8 hours of sick leave time off every month.
</p></li><li><p>8 hours of paid time off for Birthday leave.
</p></li><li><p>12-15 paid holidays each year.
</p></li></ul><p></p><p>All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution&rsquo;s verification of credentials and/or other information required by the institution&rsquo;s procedures, including the completion of the criminal history check.
</p><p></p><p>Equal Opportunity/Veterans/Disability Employer.</p></div>

Carnegie Mellon University

&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p&gt;Carnegie Mellon University is a private, global research university that stands among the world&rsquo;s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn&rsquo;t imagine the future, we invent it. If you&rsquo;re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University&rsquo;s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Carnegie Bosch Fellowships are two-year awards supporting outstanding postdoctoral researchers conducting high-potential research within the excellence-driven environment of CMU. Offering benefits beyond &lsquo;traditional&rsquo; postdoc roles, Fellows are provided with the resources, flexibility, and environment to address &ldquo;grand challenge&rdquo; style problems in line with their research vision together with their faculty host. Postdoctoral positions supported by CBI provide remarkable opportunities to shape the next generation of research while offering Fellows the chance to develop their academic careers in exceptional directions. Fellowship recipients are expected to broadly disseminate their research results via active engagement with the international research community in their respective fields and will be provided resources to aid with these efforts, e.g. conference registration &amp;#43; travel.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Carnegie Bosch Fellows are hosted within Colleges at CMU and provided with mentorship and direction from world-class faculty as well as access to industry-grade resources from Bosch. Specifically, Fellows are paired with a faculty host working to inspire and guide their overall research efforts, and benefit from the connection to an additional distinguished member of the senior faculty offering unique mentorship support. In addition, Fellows will be given the opportunity to be introduced to experts from the global Bosch Corporate Research organization, providing additional insight and counsel from an industrial perspective and sharing access to real-world challenges from domains including mobility and advanced manufacturing.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Research Areas&lt;/b&gt;:&lt;br /&gt;Carnegie Bosch Fellowships are intended to support researchers working in the fields of artificial intelligence, cybersecurity/privacy, robotics and sustainability. A broad range of research interests within these four areas will be considered from theory to application.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;We particularly encourage proposals that explore cross-disciplinary topics that bridge these&lt;/li&gt;&lt;li&gt;fields, for example (the following list is illustrative rather than exhaustive):&lt;/li&gt;&lt;li&gt;Security and Privacy in Robotics&lt;/li&gt;&lt;li&gt;Human factors in Robot Learning, e.g., Human-centric Learning from&lt;/li&gt;&lt;li&gt;Demonstrations, Shared Autonomy, etc.&lt;/li&gt;&lt;li&gt;Robotics and automation using sustainable materials and process workflows&lt;/li&gt;&lt;li&gt;Agentic systems for robotics and control&lt;/li&gt;&lt;li&gt;Energy-efficient machine learning and model compression&lt;/li&gt;&lt;li&gt;Applications of AI for circular economies&lt;/li&gt;&lt;li&gt;Sustainable AI for the smart home&lt;/li&gt;&lt;li&gt;Intelligent residential energy aggregation for virtual power plants&lt;/li&gt;&lt;li&gt;Trustworthy and transparent AI for critical infrastructure&lt;/li&gt;&lt;li&gt;Resilient and secure AI for smart cities&lt;/li&gt;&lt;li&gt;Data governance and responsible innovation across emerging technologies&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Faculty Collaboration Hosts:&lt;/b&gt;&lt;br /&gt;Carnegie Bosch Fellows are matched with world-class faculty at CMU that will serve as their primary hosts during the Fellowship. Applicants are encouraged to explore potential faculty hosts for various research areas via our directory. We highly recommend discussing collaboration opportunities and research interests with these faculty members before submitting your application. Any faculty interested in becoming a host can reach out to the CBI core team at: &lt;a href=&quot;mailto:cbi&amp;#64;andrew.cmu.edu&quot; target=&quot;_blank&quot;&gt;cbi&amp;#64;andrew.cmu.edu&lt;/a&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;Candidates should include a brief Letter of Support from the prospective faculty host as indicated in the Application Requirements below.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Distinguished Faculty Mentors:&lt;/b&gt;&lt;br /&gt;Carnegie Bosch Fellows will benefit from the unique opportunity to be mentored by pioneering leaders in their respective fields. Prof. Tom Mitchell (Founders University Professor in the School of Computer Science) will contribute his expertise in artificial intelligence, while Prof. Lorrie Cranor (Director and Bosch Distinguished Professor in Security and Privacy Technologies of the CyLab Security and Privacy Institute) will serve asma mentor in cybersecurity/privacy. Fellows will have the chance to meet regularly with these distinguished faculty, benefitting both from their deep technical knowledge as well as the experiences of their own exceptional academic careers.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Application Requirements:&lt;/b&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Cover Letter&lt;/li&gt;&lt;li&gt;Curriculum Vitae&lt;/li&gt;&lt;li&gt;Research Statement (maximum three pages), outlining a compelling long-term vision for a research program whose development would be supported by participation in the CBI Fellowship Program:&lt;ul&gt;&lt;li&gt;How will you use the time and resources provided by your Fellowship to advance this vision?&lt;/li&gt;&lt;li&gt;How will you take advantage of collaboration opportunities at CMU (and beyond)?&lt;/li&gt;&lt;li&gt;What will be the eventual impact of this research beyond the core technical results? How will it impact society in a transformative way (e.g., safety, efficiency, trustworthiness)?&lt;/li&gt;&lt;li&gt;Letter of Support (maximum one page) from prospective faculty collaboration host at CMU.&lt;/li&gt;&lt;li&gt;Letter of Support (maximum one page) from prospective faculty collaboration host at CMU&lt;/li&gt;&lt;/ul&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;About the Carnegie Bosch Institute:&lt;/b&gt;&lt;br /&gt;For 35 years, the Carnegie Bosch Institute (CBI) has embodied a world-class collaboration between Carnegie Mellon University and Bosch. This unique alliance fosters innovation at the intersection of business and technology through initiatives that advance cutting-edge research. At CMU, CBI supports the prestigious Carnegie Bosch Fellowship, funds groundbreaking research by faculty, staff, and students, and sustains Carnegie Bosch Chaired Professorships.&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;CBI&rsquo;s work focuses on areas central to Carnegie Mellon&rsquo;s strengths, including artificial intelligence, cybersecurity and privacy, robotics, and sustainability. Through research funding, proposal support, and the organization of high-impact scientific symposia, CBI continues to drive forward-thinking exploration and collaboration between academia and industry.&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Joining the CMU team opens the door to an array of exceptional benefits.&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;&lt;a href=&quot;https://www.cmu.edu/hr/benefits/eligibility/index.html&quot; target=&quot;_blank&quot;&gt;Benefits eligible&lt;/a&gt; employees enjoy a wide array of benefits including &lt;a href=&quot;https://www.cmu.edu/hr/benefits/health-welfare/index.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;comprehensive medical, prescription, dental, and vision insurance&lt;/span&gt;&lt;/a&gt;&lt;span class=&quot;emphasis-3&quot;&gt; &lt;/span&gt;as well as a generous &lt;a href=&quot;https://www.cmu.edu/hr/benefits/retirement-savings/index.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;retirement savings program&lt;/span&gt;&lt;/a&gt; with employer contributions. Unlock your potential with &lt;a href=&quot;https://www.cmu.edu/hr/benefits/tuition/index.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;tuition benefits&lt;/span&gt;&lt;/a&gt;, take well-deserved breaks with ample &lt;a href=&quot;https://www.cmu.edu/hr/benefits/time-away/pto.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;paid time off&lt;/span&gt;&lt;/a&gt; and observed &lt;a href=&quot;https://www.cmu.edu/hr/benefits/time-away/holidays.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;holidays&lt;/span&gt;&lt;/a&gt;, and rest easy with life and accidental death and disability insurance. &lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Additional perks include a free Pittsburgh Regional Transit bus pass, access to our &lt;a href=&quot;https://www.cmu.edu/hr/work-life/support/family-child-care-resources/index.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;Family Concierge Team&lt;/span&gt;&lt;/a&gt; to help navigate childcare needs, &lt;a href=&quot;https://athletics.cmu.edu/recreation/facilities&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;fitness center access&lt;/span&gt;&lt;/a&gt;&lt;span class=&quot;emphasis-3&quot;&gt;,&lt;/span&gt; and much more!&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;For a comprehensive overview of the benefits available, explore our &lt;a href=&quot;https://www.cmu.edu/hr/benefits/index.html&quot; target=&quot;_blank&quot;&gt;&lt;span class=&quot;emphasis-3&quot;&gt;Benefits page&lt;/span&gt;&lt;/a&gt;&lt;span class=&quot;emphasis-3&quot;&gt;.&lt;/span&gt;&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it&rsquo;s about finding the perfect fit for your professional growth and personal aspirations.&lt;/b&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;Are you interested in an exciting opportunity with an exceptional organization?! Apply today!&lt;/b&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Location&lt;/b&gt;&lt;/p&gt;Pittsburgh, PA&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Job Function&lt;/b&gt;&lt;/p&gt;Pre/Post-Doctoral Associates &amp;amp; Fellows&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Position Type&lt;/b&gt;&lt;/p&gt;Postdoctoral Associate / Fellow (Fixed Term)&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Full Time/Part time&lt;/b&gt;&lt;/p&gt;Full time&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Pay Basis&lt;/b&gt;&lt;/p&gt;Salary&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;More Information: &lt;/b&gt;&lt;/p&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;p style=&quot;text-align:left&quot;&gt;Please visit &lt;b&gt;&ldquo;&lt;a href=&quot;http://www.cmu.edu/jobs/why-cmu/index.html&quot; target=&quot;_blank&quot;&gt;Why Carnegie Mellon&lt;/a&gt;&rdquo; &lt;/b&gt;to learn more about becoming part of an institution inspiring innovations that change the world. &lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p style=&quot;text-align:left&quot;&gt;Click &lt;a href=&quot;https://www.cmu.edu/jobs/benefits-at-a-glance/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to view a listing of employee benefits&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p style=&quot;text-align:left&quot;&gt;&lt;b&gt;Carnegie Mellon University is an Equal Opportunity &lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span&gt;&lt;span class=&quot;WIO0&quot;&gt;Employer/Disability/Veteran&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;. &lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p style=&quot;text-align:left&quot;&gt;&lt;a href=&quot;https://www.cmu.edu/policies/administrative-and-governance/statement-of-assurance.html&quot; target=&quot;_blank&quot;&gt;&lt;b&gt;Statement of Assurance&lt;/b&gt;&lt;/a&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p style=&quot;text-align:inherit&quot;&gt;&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;&lt;/div&gt;

Postdoctoral Research Associate - College of Engineering - Electrical and Computer Engineering

Oak Ridge National Laboratory

<div><p>Requisition Id 15490</p><div><b>
Overview:
</b></div><div>The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE) and scientific imaging. This position emphasizes bridging cutting-edge ML/AI with real-world imaging systems in collaboration with experimental scientists, leveraging facilities such as the Manufacturing Demonstration Facility (MDF). This role offers a unique opportunity to drive impactful research on sparse scientific imaging while building a strong research profile in computational imaging and ML for CT.</div><div><br>
</div><div><b>Major Duties/Responsibilities:
</b></div><ul><li>Lead research on sparse-view and limited-angle CT algorithms for scientific and industrial applications.</li><li>
Develop and apply ML/AI-driven computational imaging methods (e.g., deep learning, implicit neural representations, diffusion models) for CT reconstruction, enhancement, and defect detection.</li><li>
Advance algorithms for multi-modal tomography (X-ray, neutron, electron).</li><li>
Collaborate with experimentalists to validate methods on real-world systems.</li><li>
Publish in high-impact journals and present at leading national and international conferences.</li><li>
Ensure compliance with environment, safety, health, and quality program requirements.</li><li>
Uphold strong values and ethics in collaborative research.</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><div><br>
</div><div><b>Basic Qualifications:</b></div><ul><li>
Ph.D. in electrical engineering, computer science, or related discipline completed within the last five years.</li><li>
Demonstrated expertise in computed tomography (CT), with experience in sparse-view and/or limited-angle reconstruction and published research in this area.</li><li>
Experience applying ML/AI algorithms to scientific imaging data (e.g., CT, microscopy, multi-modal datasets).</li><li>
A strong record of productive and creative research, demonstrated by peer-reviewed publications and conference presentations.</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow) for tomographic reconstruction and analysis.</li><li>
Familiarity with physics-informed, plug-and-play (PnP), or generative models for imaging.</li><li>
Prior experience with multi-modal tomography (X-ray, neutron, electron).</li><li>
Knowledge of high-performance computing or cloud environments for large-scale data.</li><li>
Strong collaboration skills and ability to work in interdisciplinary teams.</li></ul><div><b><br>
</b></div><div><b>Special Requirements:
</b></div><div>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.</div><div><br>
</div><div>Please submit three letters of reference when applying to this position. You may 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.</div><div></div><div><br>
Instructions to upload documents to your candidate profile:</div><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><div></div><div><b><br>
Security, Credentialing, and Eligibility Requirements:</b></div><div>
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.</div><div></div><div><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.</div><div></div><div><br>
For foreign national candidates:</div><div>
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.</div><div><br>
</div><div><b>About ORNL:</b></div><div>
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.</div><div></div><div><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.</div><div></div><div><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.</div><div></div><div><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 or call 1.866.963.9545.</div><p></p><div><br>
 #LI-DC1</div><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>
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>
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.</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 - ML & CI for Sparse & Multi-Modal Computed Tomography

<div><p>Requisition Id 15602</p><p></p><p><b><br>
Overview:</b></p><p>
The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing.</p><p></p><p><br>
We are a leader in computational and computer science, with signature strengths in high-performance computing and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.</p><p></p><p><b><br>
Specific areas of research interest include:</b></p><ul><li>
Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention.</li><li>
Intelligent and automated selection and composition of data and storage service capabilities and interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement.</li></ul><p></p><p><b><br>
Major Duties and Responsibilities:</b></p><ul><li>
Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing.</li><li>
I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.</li><li>
Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.</li><li>
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.</li><li>
Evaluation of cloud data storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems.</li><li>
Co-authorship of peer-reviewed publications, technical reports, and presentations.</li><li>
Seek membership and service opportunities in professional, academic, and research organizations.</li></ul><p></p><p><b><br>
Basic Qualifications:</b></p><ul><li>
A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Ability to work independently to design and deploy methods at scale.</li><li>
Experience in HPC and associated software development for applications, middleware, and/or system software.</li><li>
Flexibility to adapt to diverse R&amp;D projects and tasks.</li><li>
Effective communicator in both verbal and written forms.</li><li>
Ability to collaborate with scientists, engineers, and sponsors.</li><li>
Interest in mentoring student internships.</li></ul><p></p><p><b><br>
Applicants cannot have received their PhD 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.</b></p><p></p><p><b><br>
Security, Credentialing, and Eligibility Requirements:</b></p><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><p></p><p><br>
For foreign national candidates:</p><ul><li>
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.</li><li>
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.</li></ul><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></p><p><br>
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></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></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 - Application-driven Composable Distributed Storage

United Arab Emirates University, Department of Family Medicine

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Department of Pharmacology and Therapeutics, College of Medicine and Health Sciences at the United Arab Emirates University (UAEU), invites applications for a full-time Postdoctoral Fellow position. The appointment is for 15 months. The successful candidate will contribute to a funded research project focused on the design, fabrication, and evaluation of advanced electrospun nanofiber scaffolds loaded with complex regenerative bioactives (e.g., stem cells, exosomes, peptides, and growth factors) for applications in skin regeneration, wound healing, and cosmeceuticals. The selected candidate will be actively involved in fabrication of nanofibers using blend and coaxial electrospinning techniques, loading and stabilization of drugs and sensitive biologics and within nanofiber systems, formulation of nanoparticles such as nanovesicles and nanoemulsions and polymeric nanoparticles, physicochemical and biological characterization of nanoparticles, In vitro and in vivo evaluation of nanoparticles, as well as manuscript preparation and dissemination of research findings. Selection will be based on academic qualifications, relevant research experience, and demonstrated alignment with the project objectives. Applicants should submit:
 <br/>
 <br/>
 <ul>
  <li>
   A cover letter outlining research interests and relevant experience
  </li>
  <li>
   A detailed CV
  </li>
  <li>
   Two to three representative publications
  </li>
  <li>
   Contact details of two referees
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualification
 <br/>
 <br/>
 <ul>
  <li>
   PhD in Biomedical Engineering, Materials Science, Polymer Chemistry, Pharmaceutics, or a closely related field
  </li>
  <li>
   Proven hands-on experience in electrospinning techniques
  </li>
  <li>
   Strong background in nanoparticles fabrication and characterization
  </li>
  <li>
   Experience in nanofibers preparation and characterization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrated expertise in coaxial (core-shell) electrospinning
  </li>
  <li>
   Experience in encapsulation of biologics (e.g., exosomes, peptides, growth factors)
  </li>
  <li>
   Experience with biopolymers and biodegradable materials (e.g., PCL, PLGA, gelatin)
  </li>
  <li>
   Experience with cell culture and/or stem cell handling
  </li>
  <li>
   Strong publication record in relevant fields
  </li>
  <li>
   Excellent written and oral communication skills in English
  </li>
  <li>
   Ability to work in a multidisciplinary and collaborative research environment
   <br/>
   <br/>
  </li>
 </ul>
 Expected Skills
 <br/>
 <br/>
 <ul>
  <li>
   Design and fabricate multifunctional nanofiber scaffolds
  </li>
  <li>
   Optimize electrospinning parameters for different payloads
  </li>
  <li>
   Design and fabricate different lipid based and polymeric nanoparticulate systems
  </li>
  <li>
   Perform physicochemical characterization (Loading, In vitro release, SEM, FTIR, mechanical testing, etc.)
  </li>
  <li>
   Conduct in vitro biological assays and support in vivo studies
  </li>
  <li>
   Analyze data and contribute to high-impact publications
  </li>
  <li>
   Assist in supervising undergraduate and graduate students
  </li>
  <li>
   Contribute to project reporting, presentations, and outreach activities
   <br/>
   <br/>
  </li>
 </ul>
 Close Date Kindly apply
 <strong>
  before
 </strong>
 the closing date.
 <br/>
 <br/>
 30/04/2026
 <br/>
 <br/>
 Apply
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 Department
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