postdoc

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)

University of Tennessee

<div><p>The Chin lab in the Department of Biochemistry &amp; Cellular and Molecular Biology at UTK is seeking a highly motivated full-time postdoctoral researcher to join our team. Our work focuses on how the actin cytoskeleton regulate mechanical signaling to orchestrate root growth and development using a combination of molecular biology, genetics and microscopy in plant models such as <i>Arabidopsis thaliana </i>and <i>Medicago truncatula </i>.
</p><p>The initial appointment period will be one year with potential for renewal contingent upon successful performance and funding.</p></div>
<br><div><p>This postdoctoral position is expected to work on a project on understanding actin organization that drives anisotropic cell growth in roots. This project involves mutational analyses including identifying, generating and characterizing mutations affecting pathways in actin regulation, the generation and the testing of genetically encoded markers to determine protein function, complemented by protein biochemical analysis.</p></div>
<br><div><p><b>Required Qualifications
</b></p><ul><li><p>Education: Ph.D. by summer 2026 in molecular biology, cell biology, biotechnology, genetics, plant biology, biochemistry or related field, with official transcript provided as verification.
</p></li><li><p>Experience: Publications in molecular biology, cell biology, biotechnology, genetics or a related field. Strong experience in cloning, microscopy with relevant publications to demonstrate their expertise.
</p></li><li><p>Knowledge, Skills, Abilities: Ability to design and conduct independent research experiments and problem-solving ability. Strong organizational, communication skills and ability to work collaboratively.
</p></li></ul><p><b>Preferred Qualifications and Skills
</b></p><ul><li><p>A strong publication record, preferably first author.
</p></li><li><p>Familiarity with plant model systems and plant physiology eg. <i>Arabidopsis
</i></p></li><li><p>Experience with confocal microscopy or imaging-based approaches and imaging analysis.
</p></li><li><p>Experience with molecular cloning including CRISPR-Cas9, fluorescent tagging, domain swapping.
</p></li><li><p>Experience with SDS-PAGE and Western blotting.<br>
</p></li></ul><p></p><p><b>Work Location
</b></p><ul><li><p>Location: University of Tennessee, Knoxville
</p></li><li><p>Onsite
</p></li></ul><p><b>Compensation and Benefits
</b></p><ul><li><p><b>Anticipated hiring range: $56,956</b></p></li><li><p><br>
</p></li></ul><p></p><p><b>Application Instructions
</b></p><p>To express interest, please submit an application with the noted below attachments:
</p><ul><li><p>Curriculum vitae with publications.
</p></li><li><p>Cover Letter -describing past research experience and career goals. Include anticipated timeline for completing Ph.D. if relevant.
</p></li></ul><p>Screening of applicants will begin immediately and will continue until the position has been filled.
</p><p>References will be requested after interviews are complete, and the PI determines their selection.
</p><p><b>About The Department:
</b></p><p>The University of Tennessee Department of Biochemistry &amp; Cellular and Molecular Biology (BCMB) is home to over 400 undergraduate majors. Housed in the Ken and Blaire Mossman (1311 Cumberland Ave.) and Hesler Biology and Greenhouse (1406 Circle Dr.) Buildings, our research teams of faculty, undergrads, graduate students, and postdoctoral fellows are working on topics ranging from molecular structure to organismal levels.</p></div>
<br><div><div>The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees&mdash;the Volunteers&mdash;who uphold the university&rsquo;s tradition of lighting the way for others through leadership and service.<br>
</div><div></div><br>
<div>UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee&rsquo;s flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy&rsquo;s largest multidisciplinary laboratory, Oak Ridge National Laboratory.<br>
</div><div></div><br>
<div>The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.<br>
</div><div></div><br>
<div>UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.<br>
</div><div></div><br>
<div>The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as &ldquo;Best Employer for New Graduates,&rdquo; &ldquo;One of America&rsquo;s Best Large Employers,&rdquo; and &ldquo;Best Workplace for Women,&rdquo; and has been designated as &ldquo;Best Place for Working Parents&rdquo; by Forbes Magazine.<br>
</div><div></div><br>
<div>Apply today and join the Tennessee Volunteer community!</div></div>

Post-Doctoral Research Associate: Department of Biochemistry & Cellular and Molecular Biology - UTK

The University of Michigan

<p></p><div><div><div><h2 class="jobSectionHeader"><b>How to Apply</b></h2><p>
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position along with research interests, career aspirations. Additionally, please include the name and contact information for three references.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
The Kaczorowski lab at the University of Michigan is recruiting post-doctoral scholars to evaluate interventions; such as drugs, nutraceutical, and bioceuticals, that might slow aging and extend the healthy lifespan in genetically heterogenous mice. The Kaczorowski lab utilizes cutting edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate the aging rate and multiple disease risks. The Kaczorowski Lab team values excellence, integrity, impact and kindness - and we are looking for postdoctoral trainees who are enthusiastic and creative.</p><p>
The Kaczorowski lab is in the Department of Neurology at the University of Michigan Medical School located in Ann Arbor, Michigan. The city is ranked among the top 10 places to live in the U.S, with a community that is pedestrian and bike friendly. The Michigan Neuroscience Institute (MNI) continues to be a leader in innovative, collaborative, and visionary research in the areas of brain science and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More information about the Kaczorowski lab can be found at http://kaczorowski.lab.medicine.umich.edu or on Twitter @KaczorowskiLab.</p><h2 class="jobSectionHeader"><b>
Responsibilities*</b></h2><p>
The successful candidate will be able to plan, develop, execute, and analyze an independent research project in the context of a supportive lab and institutional environment. In addition, they will supervise and help train graduate students, undergraduate research assistants and junior technicians in the lab. We are looking for someone that has the aptitude to learn new techniques, works well with others, and possesses strong critical thinking skills.</p><ul><li>
Utilize genetically heterogeneous mice, in which each mouse is genetically unique, to study the aging rate and disease risks following intervention with specific drugs and pharmaceutics.</li><li>
Help maintain lab organization and record all information in an official laboratory notebook.</li><li>
Maintain organization of lab protocols, equipment operation and standard techniques.</li><li>
Participate in periodic research discussions.</li><li>
Present data and plans for new experiments during laboratory meetings.</li><li>
Collaborate with colleagues to develop and achieve short- and long-range plans.</li><li>
Assists with the creation of posters, manuscripts, and presentations for scientific meetings and/or grant submissions.</li><li>
Perform additional duties as assigned, according to research or lab needs.</li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications*</b></h2><ul><li>
Education: Must possess either a Ph.D in biological or related sciences field, or professional doctorate (e.g. M.D., DD.S., D.V.M., Pharm.D.).</li></ul><h2 class="jobSectionHeader"><b>
Desired Qualifications*</b></h2><ul><li>
Strong training background in animal behavior, pharmacy, and genetics.</li><li>
Other areas of experience/training include cell biology or chemistry.</li><li>
Exceptional verbal and written communication skills.</li><li>
Self-motivated and career oriented individual preferred.</li><li>
Minimum of one 1st author paper from graduate related research.</li><li>
Experience with statistical analysis; interprets and evaluates results and compiles data for peer and PI review.</li></ul><h2 class="jobSectionHeader"><b>
Why Join Michigan Medicine?</b></h2><p>
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world&rsquo;s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.</p><p><b>
What Benefits can you Look Forward to?</b></p><ul>
<li>Excellent medical, dental and vision coverage effective on your very first day</li>
<li>2:1 Match on retirement savings</li></ul><h2 class="jobSectionHeader"><b>
Modes of Work</b></h2><p>
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.</p><h2 class="jobSectionHeader"><b>
U-M EEO Statement</b></h2><p>
The University of Michigan is an equal employment opportunity employer.</p></div></div></div><p></p>
<br><div><div><h3 class="jobSectionHeader"><b>Job Opening ID</b></h3>
<div><p>275520</p>
</div></div><div><h3 class="jobSectionHeader"><b>Working Title</b></h3>
<div><p>Postdoctoral Research Fellow</p>
</div></div><div><h3 class="jobSectionHeader"><b>Job Title</b></h3>
<div><p>RESEARCH FELLOW</p>
</div></div><div><h3 class="jobSectionHeader"><b>Work Location</b></h3>
<div><p>Ann Arbor Campus</p>
</div></div><p>Ann Arbor, MI</p>
<div><h3 class="jobSectionHeader"><b>Modes of Work</b></h3>
<div><p>Onsite
</p></div></div><div><h3 class="jobSectionHeader"><b>Full/Part Time</b></h3>
<div><p>Full-Time</p>
</div></div><div><h3 class="jobSectionHeader"><b>Regular/Temporary</b></h3>
<div><p>Regular</p>
</div></div><div><h3 class="jobSectionHeader"><b>FLSA Status</b></h3>
<div><p>Exempt</p>
</div></div><div><h3 class="jobSectionHeader"><b>Organizational Group</b></h3>
<div><p>Medical School</p>
</div></div><div><h3 class="jobSectionHeader"><b>Department</b></h3>
<div><p>MM Neurology Department</p>
</div></div><div><h3 class="jobSectionHeader"><b>Posting Begin/End Date</b></h3>
<div><p>3/26/2026 - 6/24/2026</p>
</div></div><div><h3 class="jobSectionHeader"><b>Career Interest</b></h3>
<div><p>Research Fellows</p></div></div></div>

Postdoctoral Research Fellow

University of Illinois at Urbana-Champaign

<p>The Holonyak Micro and Nanotechnology Laboratory within The Grainger College of Engineering at the University of Illinois Urbana-Champaign seeks candidates for a Postdoctoral Research Associate position. This position will primarily focus on Integrated and Quantum Photonics in the research group lead by Prof. Kejie Fang (https://fang.ece.illinois.edu/). The successful candidate will lead research on the experimental study of advanced photonic devices for applications in classical and quantum information processing, sensing, and networking. The position provides access to state-of-the-art nanofabrication facilities, advanced photonic characterization infrastructure, and a highly collaborative environment.</p><p>Required qualifications include</p><p>&middot; Ph.D. in Electrical Engineering, Physics, Applied Physics, or a related field within 10 years of the start date of the position.</p><p>&middot; Demonstrated research productivity and ability to communicate effectively as appropriate for the needs of the audience.</p><p>&middot; Strong background in photonics or quantum optics. Experience in nanofabrication is preferred, but not required.</p><p>The Postdoctoral Research Associate is a full-time position appointed on a 12-month service basis. The initial appointment is for one year with the possibility of extension based on performance and funding. The anticipated start date is September 1, 2026 but is negotiable.</p><p>The budgeted salary range for this position is $55,000 &ndash; $65,000. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity.</p><p>This position will be expected to work at the University of Illinois Urbana-Champaign campus on a full-time basis per the University&rsquo;s Workplace Flexibility policy.</p><p>This position is eligible for sponsorship for work authorization, except for sponsorship of a new H1B petition that would incur the $100,000 fee.</p><p>To apply for this position, please submit a cover letter, curriculum vitae, and names/contact information for three references by August 31, 2026, to Prof. Kejie Fang at kfang3@illinois.edu. Full consideration will be given to complete applications received by 6:00 pm (CST) on the closing date.</p><p>This position is intended to be eligible for benefits. This includes health, dental, vision, life insurance, a retirement plan, paid time off, and tuition waivers for employees and dependents.</p><p>The University of Illinois must also comply with applicable federal export control laws and regulations and, as such, reserves the right to employ restricted party screening procedures for applicants.</p><p>The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.</p><p>Pay: $55,000.00 - $65,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>Dental insurance</li><li>Employee assistance program</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Postdoctoral Research Associate - Photonics

Oak Ridge National Laboratory

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

American University of Sharjah

<div>
 <strong>
  Post:
 </strong>
 Postdoctoral Research Fellow in Sustainable Water Infrastructure
 <br/>
 <br/>
 <strong>
  Position Summary
  <br/>
  <br/>
 </strong>
 To lead interdisciplinary research in sustainable water infrastructure systems, with a focus on emerging pollutants, smart monitoring, climate resilience, and water-energy co-optimization. The postdoctoral fellow will evaluate pollution in water supply and distribution networks, design treatment and brine management strategies, and develop data-driven models for sustainable infrastructure and water security in Sharjah and across the UAE.
 <br/>
 <br/>
 <strong>
  Job Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate the presence of emerging contaminants (e.g., microplastics, pharmaceuticals) in water, wastewater, and stormwater systems.
  </li>
  <li>
   Study the role of infrastructure materials in mobilizing micropollutants, especially in desalination plants and distribution networks.
  </li>
  <li>
   Assess and improve treatment and pretreatment technologies, including chemical oxidation and sustainable brine management.
  </li>
  <li>
   Investigate smart leak detection, pipe degradation, and distribution system resilience.
  </li>
  <li>
   Model climate change impacts on water infrastructure and propose adaptation strategies.
  </li>
  <li>
   Develop AI/ML-based monitoring systems and IoT integration for infrastructure management.
  </li>
  <li>
   Analyze the co-optimization of water and energy distribution systems.
  </li>
  <li>
   Publish research outcomes in leading peer-reviewed journals.
  </li>
  <li>
   Contribute to writing technical reports and grant deliverables.
  </li>
  <li>
   Mentor and collaborate with graduate students and junior researchers.
  </li>
  <li>
   Participate in project meetings and communicate findings to stakeholders.
  </li>
  <li>
   Participate in organizing conferences and workshops.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Skills Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   PhD in Civil Engineering, Environmental Engineering, Chemical Engineering, or related fields.
  </li>
  <li>
   Research experience in contaminant assessment, water treatment, and infrastructure systems.
  </li>
  <li>
   Proficiency with lab instruments (GC-MS, ICP-MS, SEM, XRD, AFM, BET, etc.) and simulation/modeling tools.
  </li>
  <li>
   Demonstrated publication record in high-impact journals and conference proceedings.
  </li>
  <li>
   Expertise in emerging pollutants and water distribution systems.
  </li>
  <li>
   Strong technical skills in modeling, simulation, and analytical instrumentation.
  </li>
  <li>
   Ability to work across interdisciplinary teams and support graduate student mentorship.
  </li>
  <li>
   Strong written and verbal communication skills in English.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interdisciplinary background in smart infrastructure systems, environmental modeling, or the water-energy nexus.
  </li>
  <li>
   Experience in climate resilience modeling, smart city infrastructure, or brine treatment design.
  </li>
  <li>
   Application of AI and machine learning in water system management.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Interested applicants should fill out this form.
  </li>
  <li>
   AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
  </li>
  <li>
   AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one&rsquo;s qualifications.
  </li>
 </ul>
</div>


Postdoctoral Research Fellow in Sustainable Water Infrastructure

UC Davis

<div><p>POSITION OVERVIEW</p>
<div><b>Salary range:</b> The salary range for this position is $76,700-$85,000. &ldquo;Off-scale salaries&rdquo;, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience.
</div><div><p>APPLICATION WINDOW</p><b>
</b></div><div><p><b>Open date: </b>May 6, 2026
</p></div><div><p><b>Next review date:</b> Thursday, May 21, 2026 at 11:59pm (Pacific Time)<br>
Apply by this date to ensure full consideration by the committee.
</p></div><div><p><b>Final date: </b>Monday, May 25, 2026 at 11:59pm (Pacific Time)<br>
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
</p></div><p>POSITION DESCRIPTION</p>
<div><div><p><b>NATURE AND PURPOSE</b><br>
Incumbent will investigate novel biometeorological and biophysical methods to quantify woody perennial crops water use and stress. Efforts of the Assistant Project Scientist will involve several cropping systems (e.g. olives, almonds, pistachios, grapes) studied in field settings typical on commercial orchards and vineyards throughout California. Work will integrate with efforts of other team members involved in the GRAPEX and T-REX projects that aim to develop, refine, and apply remotely sensed tools for use precision management of vineyard and orchard systems. Focus will be on the integration of remote sensing with field-scale micrometeorological measurement techniques aiming to develop solutions for growers.<br>
The Project Scientist makes significant and creative contributions to a research or creative project in his/her academic discipline. The appointee possesses the subject matter expertise and the creative energy necessary to function at a high level of competence. The appointee will participate in activities to increase, improve, or upgrade competency. Appointees with Project (e.g., Scientist) titles may engage in University and public service. They do not have teaching responsibilities. Although the Project Scientist is expected to work independently under the general guidance of an academic member with an independent research program (i.e., Professor, Professional Researcher, Specialist in Cooperative Extension, etc.), he/she is not required to develop an independent research program or reputation. He/she will carry out research or creative programs with supervision by an individual in an academic title that carries with it automatic Principal Investigator status. The Project Scientist does not usually serve as a Principal Investigator but may do so by exception.</p>
<p><b>MAJOR RESPONSIBILITIES</b><br>
<b>I. RESEARCH (85%)</b><br>
Research activity (55%)<br>
Design, develop and coordinate projects and experiments to study surface energy and mass fluxes in crops.<br>
Develop methods to quantify crop using various proximal and remote sensing systems.<br>
Supervise students and staff in developing methods, collecting data, interpreting results, troubleshooting problems, and planning follow-up experiments.<br>
Publication (20%)<br>
Publish research results in peer-reviewed journals, having a leadership role when needed.<br>
Grant Acquisition (10%)<br>
Contribute to writing proposals and reports to funding agencies.<br>
<b>II. PROFESSIONAL COMPETENCE AND ACTIVITY (10%)</b><br>
Present research results at conferences and meetings. Give oral presentations to public and professional interest groups.<br>
Serve as a reviewer of research proposals and scientific publications as appropriate.<br>
Participate in professional societies or other educational/research organizations appropriate to the candidate&rsquo;s specific field.<br>
<b>III. UNIVERSITY AND PUBLIC SERVICE (5%)</b><br>
May maintain liaison and respond to the needs of various industry organizations, state and federal agencies, and other external groups on issues related to area of expertise.<br>
May engage in University service activities such as guest lecturing and committee service.</p>
</div></div>
<p>QUALIFICATIONS</p>
<div><b>Basic qualifications</b> (required at time of application)
<div><p>PhD in Civil and Environmental Engineering, Agricultural Engineering, Hydrology, Atmospheric Science or a closely related field</p>
</div>
</div><div><b>Preferred qualifications</b> (other preferred, but not required, qualifications for the position)
<div><p>Postdoc experience and ability to integrate information from agronomy, hydrology, climatology, remote sensing, physics, plant physiology, statistics, and soil-plant-atmospheric water relation. Experience with UAS systems and eddy covariance instrumentation field deployment.</p>
</div>
</div><p>APPLICATION REQUIREMENTS</p>
<div><div><b>Document requirements</b>
<ul><li><div><p>Curriculum Vitae - Your most recently updated C.V.
</p></div></li><li><div><p>Cover Letter (Optional)</p>
</div></li><li><div><p>
Statement of Research (Optional)</p>
</div></li><li><div><p>
Authorization to Release Information Form - This form is required for all applicants applying to academic recruitments. Please see the Employment Disclosure Requirements webpage for more information. Download, complete, sign, and upload the form.
</p></div></li></ul></div><div><div><b>Reference requirements</b></div><ul><li>
3-5 required (contact information only)</li></ul></div>
<b>Apply link:</b>
</div>
<div><p><b>Help contact:</b> ansjacobs@ucdavis.edu</p>
</div>
<p>ABOUT UC DAVIS</p>
<div>
<div><p>As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.</p>
<ul><li>&ldquo;Misconduct&rdquo; means any violation of the policies or laws governing conduct at the applicant&rsquo;s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.</li>
<li>UC Sexual Violence and Sexual Harassment Policy</li>
<li>UC Anti-Discrimination Policy for Employees, Students and Third Parties</li>
<li>APM - 035: Affirmative Action and Nondiscrimination in Employment
</li></ul><p>To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, &quot;Authorization to Release Information&quot; into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.</p>
<p>UC Davis is a smoke and tobacco-free campus.</p>
<p>The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state for federal law.
</p><p>Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UC Davis positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check.</p>
<p>The University of California, Davis (UC Davis) is committed to creating a welcoming and inclusive environment for all employees and students. Our excellence in research, teaching, and service are embodied by members of our academic community who share our commitment to these values. A variety of resources and programs are available to academics, staff, and students that reflect the core values reflected in our strategic plan: &ldquo;To Boldly Go,&rdquo; our Principles of Community, the Office of Academic Affairs&rsquo; Mission Statement, and the UC Board of Regents Policy 4400.
</p><p>UC Davis is also a national leader in inclusive practice. There are numerous links available on the About Us webpage where you can learn more about our administration, campus rankings, locations, campus safety, sustainability, visiting UC Davis and UC Davis Health.</p>
<p>The university is consistently ranked among the top institutions in the world for campus sustainability practices by the UI Green Metric World University Rankings. UC Davis is focused on achieving net-zero greenhouse gas emissions and repeatedly shown its commitment to preserving a healthy and sustainable environment for generations to come.</p>
<p>The University of California and UC Davis are committed to offering a wide variety of benefits for employees. The University of California Employee benefits and UC Davis New Employee benefits webpages have additional information.</p>
<p>As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.</p></div><br>
</div>
<div></div><p>JOB LOCATION</p>
<div>Davis, CA</div></div>

Assistant Project Scientist in McElrone Lab

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