postdoctoral fellow

Aga Khan University

<div><div>Postdoctoral Fellow, Paediatrics &amp; Child Health -MC - (260001QZ)</div><div><div><br>
</div><p><b>Introduction</b></p><p>
The Outreach and Research Programme of the Department of Paediatrics and Child Health has ten community-based field sites across Pakistan (including four in Karachi) and focuses on research for betterment of women and child health. The Department has a Nutritional Research Laboratory as well as an Infectious Disease Research Laboratory that cater to the needs of its research projects. It has well-acclaimed work to its credit both at the national and international level.</p><p><br>
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.</p><p>
This is a grant funded contractual position</p><p><b>
Job Summary:</b></p><p><br>
The primary responsibility of this position is to independently lead the development, writing, and submission of peer-reviewed scientific manuscripts arising from epidemiological and clinical research studies.<br>
The incumbent will work closely with investigators and research teams to transform datasets and study findings into high-quality scientific publications for international peer-reviewed journals. This role requires expertise in quantitative analysis, scientific writing, interpretation of epidemiological and clinical data, and the ability to independently manage manuscripts from concept development through submission and revision.<br>
Candidates with formal training and experience in Public Health, Epidemiology, Biostatistics, Clinical Research, Maternal and Child Health, Infectious Diseases, Nutrition, Environmental Health, or related quantitative population health disciplines will be preferred.<br>
The successful candidate must have a strong publication record with multiple first-author peer-reviewed manuscripts and the ability to independently lead scientific writing projects with minimal supervision.<br>
<br>
<b>Responsibilities:</b></p><p>
You will be responsible for:</p><ul><li>
independently leading the preparation, writing, editing, and submission of peer-reviewed scientific manuscripts</li><li>
conducting statistical analyses and interpreting epidemiological and clinical research findings for publication purposes</li><li>
working closely with investigators and research teams to develop publication plans and manuscript concepts</li><li>
developing tables, figures, literature reviews, and scientific interpretations required for manuscript preparation</li><li>
coordinating manuscript revisions and responses to journal reviewers and editors</li><li>
leading the development and submission of 3&ndash;5 high-quality peer-reviewed manuscripts annually</li><li>
conducting literature surveys, searching and retrieving relevant data, and utilizing a variety of research techniques and technologies</li><li>
contributing directly to the development of research strategies for ongoing research projects</li><li>
compiling information, data, and practice exemplars for publications</li><li>
entering experimental data into appropriate software and conducting quantitative and qualitative data analyses.</li><li>
preparing write-ups, manuscripts, and research proposals</li><li>
supervising research volunteers and medical students involved in research projects</li><li>
participating in introductory and advanced workshops for research capacity building under the supervision of the reporting manager</li></ul></div><div></div><div><div><br>
</div><p><b>Requirements:</b></p><p>
You should have:</p><ul><li>
at least a master&rsquo;s degree in public health, epidemiology &amp; biostatistics, or any other relevant field (PhD preferred)</li><li>
at least two years of experience in clinical, epidemiological, or public health research within an academic or research setting</li><li>
demonstrated experience independently leading the writing, development, and submission of peer-reviewed scientific manuscripts</li><li>
proven ability to analyze large clinical, cohort, surveillance, or population-based datasets and translate findings into publishable scientific outputs</li><li>
strong track record of first-author publications in peer-reviewed journals</li><li>
experience responding to peer-review comments and managing manuscript revisions will be preferred</li><li>
excellent interpersonal skills and scientific writing ability</li><li>
ability and willingness to mentor and supervise undergraduate and postgraduate students</li><li>
good project management skills</li><li>
ability to represent the organization institution at national and international forums.</li></ul><div>
</div></div><div>
Primary Location: Pakistan</div><div>
Organisation: Aga Khan University Pakistan</div><div>
Job Posting: 08/05/2026, 8:04:32 AM</div><div>
Closing Date: 18/06/2026, 1:59:00 PM</div></div>

Postdoctoral Fellow, Paediatrics & Child Health -MC

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

Pfizer

<div><p><b>Last day to apply May 24th, 2026</b><br>
<br>
<b>Why Patients Need You</b><br>
Pfizer&rsquo;s purpose is to deliver breakthroughs that change patients&rsquo; lives. Research and Development is at the heart of fulfilling Pfizer&rsquo;s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or developing manufacturing processes in support of clinical studies, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.</p><div><div><div><div><div><div><div><div><div><p><b>
What You Will Achieve</b></p><p>
The Upstream Process Development group within the Bioprocess R&amp;D organization is seeking a Postdoctoral Fellow &ndash; AI/ML Enabled Bioprocess Modeling and Control. The successful applicant will join a team of scientists and engineers focused on developing and optimizing manufacturing processes for recombinant proteins and other modalities for early- and late-phase human clinical trials.</p><p></p><p>
This role will focus on developing and applying innovative mathematical and computational modeling approaches to characterize, understand, and predict complex biological systems used for recombinant protein vaccine and therapeutic production. The postdoctoral fellow will develop hybrid mechanistic and data‑driven models for mammalian cell culture processes and leverage transcriptomic and other omics data to enable early clone selection based on predicted process performance and generational stability. In addition, the individual will develop a model predictive control (MPC) framework that uses these models to enable real‑time monitoring and control of cell culture processes.<br>
<br>
Further, the postdoctoral fellow will design and conduct targeted experiments to generate data for model development, training, validation, and control strategy evaluation. The role will also explore agentic AI approaches to orchestrate model fitting, transfer learning, and deployment across portfolio projects, enabling scalable and adaptive reuse of models for early decision‑making and process control. This position is well suited for a highly motivated scientist with strong expertise in machine learning, systems biology, kinetic modeling, process control, and mammalian cell metabolism.</p></div></div></div></div></div></div></div></div></div><p></p><p><b><br>
RESPONSIBILITIES</b></p><ul><li><p>
Develop hybrid mechanistic&ndash;data driven models for mammalian cell culture processes supporting recombinant protein production.</p></li><li><p>
Integrate transcriptomic and other omics data as structured inputs for clone specific performance and stability prediction.</p></li><li><p>
Apply machine learning and deep learning methods for phenotypic clustering, parameter estimation, and performance prediction.</p></li><li><p>
Extend existing mechanistic bioprocess models to include additional physiological functions (e.g., amino acid metabolism, regulatory feedback loops) using kinetic, genome scale, or data driven modeling approaches.</p></li><li><p>
Design and implement model predictive control (MPC) frameworks using mechanistic and hybrid models for real time control of critical process variables (e.g., feeding strategies, metabolite control).</p></li><li><p>
Design and execute shake flask, ambr&reg;, or bench scale bioreactor experiments to generate process and omics datasets for model development and validation.</p></li><li><p>
Perform in silico sensitivity and scenario analyses to understand process robustness, control leverage, and drivers of performance and stability.</p></li><li><p>
Validate models and control strategies using historical and new datasets, and deploy them prospectively to support new development programs.</p></li><li><p>
Explore agentic AI frameworks to orchestrate model fitting, validation, and transfer learning across portfolio projects, enabling scalable adaptation of models to new clones and processes with human‑in‑the‑loop decision support.</p></li><li><p>
Maintain rigorous documentation in electronic laboratory notebooks and internal technical reports.</p></li><li><p>
Communicate results effectively through presentations, technical discussions, and peer reviewed publications.</p></li><li><p>
Collaborate with cross functional teams across different time zones and contribute to mentoring junior scientists as appropriate.</p></li></ul><p></p><p><b><br>
BASIC QUALIFICATIONS</b></p><ul><li><p>
PhD in Chemical Engineering, Biochemical Engineering, Bioengineering, Systems Biology, Computational Biology, or a closely related field (0&ndash;2 years postdoctoral experience).<br>
Less than 2 years of post-degree (PhD) experience.</p></li><li><p>
Willingness to make a minimum 2-year commitment.</p></li><li><p>
Successful record of scientific accomplishments evidenced by scientific publications and/or presentations with at least one first-author publication in a peer-reviewed journal.</p></li><li><p>
Two letters of recommendation are also required prior to interview stage.</p></li><li><p>
Strong foundation in mathematical modeling, chemical/biochemical reaction kinetics, and mammalian cell culture processes.</p></li><li><p>
Proficiency in scientific computing using Python, Julia and/or MATLAB (experience with control toolboxes, optimization solvers, or ML libraries is a plus).</p></li><li><p>
Strong analytical, problem‑solving, and communication skills, with the ability to work independently and in interdisciplinary teams.</p></li><li><p>
Demonstrated expertise in machine learning and data‑driven modeling, including regression, classification, clustering, and model validation.</p></li><li><p>
Experience integrating omics data (especially transcriptomics) with mechanistic or hybrid models.</p></li></ul><p><b><br>
PREFERRED QUALIFICATIONS</b></p><ul><li><p>
Familiarity with process systems engineering and control concepts, including model predictive control, optimal control, or dynamic optimization.</p></li><li><p>
Experience building modular, reusable AI/ML workflows that support transfer or multi‑task learning across related systems, with familiarity in adaptive decision‑making and human‑in‑the‑loop modeling concepts.</p></li><li><p>
Understanding of CHO cell physiology, central carbon and amino acid metabolism, and regulatory mechanisms relevant to bioprocessing.</p></li><li><p>
Hands‑on experience designing and executing cell culture experiments is highly desirable.</p></li></ul><p><br>
<br>
<b>ADDITIONAL INFORMATION</b><br>
Relocation support available<br>
Work Location Assignment: On Premise<br>
<b>Last day to apply May 24th, 2026</b></p>
The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer&rsquo;s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life&rsquo;s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site &ndash; U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
<p>Relocation assistance may be available based on business needs and/or eligibility.</p>
<p>
Candidates must be authorized to be employed in the U.S. by any employer.</p><p>
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.</p><p></p>
<div><div><div><div><div><div><div><div><p><b>
Sunshine Act</b></p><p>
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider&rsquo;s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.</p></div></div></div></div></div></div></div></div>
<p><b>
EEO &amp; Employment Eligibility</b></p><p>
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.</p><p></p><p>
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.</p>
Research and Development</div>

Postdoctoral Fellow – AI/ML Enabled Bioprocess Modeling and Control

Alfaisal University

<div><div><div><h3 class="jobSectionHeader"><b>Postdoctoral Research Fellow (Cardiovascular Sciences) (CoM#270426)</b></h3><div><ul><li>College of Medicine (CoM)</li>
</ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job Summary</b></h4>
<p>A highly motivated Postdoctoral Research Fellow is sought to join an interdisciplinary cardiovascular research team in the Nader&rsquo;s lab focused on advancing understanding of cardiac and vascular disease mechanisms, translational biomarker discovery, and clinical phenotyping. This position offers an exciting opportunity to contribute to impactful research at the interface of cardiovascular biology, metabolic disease, and clinical data science.</p>
<p>The successful candidate will work on projects investigating mechanisms of cardiovascular dysfunction, with particular interest in areas such as electrophysiology, vascular biology, cardiometabolic disease, imaging, and biomarker-based risk stratification. The postdoctoral fellow will be expected to lead and support hypothesis-driven studies, use of animal models, analyze complex experimental and clinical datasets, prepare manuscripts for publication, and contribute to grant development and collaborative research activities.</p>
<h4 class="jobSectionHeader"><b>Key Responsibilities</b></h4>
<p>The postdoctoral fellow will design, conduct, and interpret independent and collaborative research in cardiovascular sciences. Responsibilities include managing research datasets, applying appropriate statistical and computational methods, preparing figures and scientific reports, presenting findings at lab meetings and scientific conferences, and contributing to peer-reviewed publications. The fellow may also assist in mentoring graduate or medical students and in coordinating multidisciplinary collaborations across basic, translational, and clinical research teams.</p>
<h4 class="jobSectionHeader"><b>Required Qualifications</b></h4>
<p>Applicants should hold a PhD, or equivalent doctoral degree in cell biology, computational biology, physiology, biomedical sciences, epidemiology, or a related discipline. Candidates should demonstrate a strong publication record or clear evidence of research productivity relative to career stage. Experience in one or more relevant areas such as cardiac physiology, molecular biology, omics, clinical research, biostatistics, or computational analysis is highly desirable.</p>
<p>Strong written and verbal communication skills are essential, along with the ability to work both independently and collaboratively in a multidisciplinary environment.</p>
<h4 class="jobSectionHeader"><b>Preferred Qualifications</b></h4>
<p>Experience with cardiovascular phenotyping, ECG or imaging analysis, translational human studies, animal models, metabolic profiling, and statistical programming in R, Python, SPSS, Stata, or similar platforms will be considered an advantage. Candidates with interest in bridging mechanistic and patient-centered research are especially encouraged to apply.</p>
<h4 class="jobSectionHeader"><b>What We Offer</b></h4>
<p>This position provides an intellectually stimulating research environment, access to collaborative clinical and laboratory networks, opportunities for career development, conference presentation, and high-impact publication. The fellow will receive mentorship tailored to support independent academic development and future fellowship or faculty applications.</p>
<p>Salary and benefits will be commensurate with qualifications and institutional guidelines.</p>
<h4 class="jobSectionHeader"><b>Application Process</b></h4>
<p>Applicants should submit to aalluhaydan@alfaisal.edu:</p>
<ul><li>A <b>cover letter</b> describing research interests and career goals</li>
<li>A <b>curriculum vitae</b></li>
<li>A brief statement of previous research experience</li>
<li>Contact information for <b>two to three referees</b></li>
</ul><p>Review of applications will begin immediately and continue until the position is filled. The anticipated start date is <b>flexible</b>.</p>
<h4 class="jobSectionHeader"><b>Equal Opportunity Statement</b></h4>
<p>We are committed to building a diverse and inclusive research environment and welcome applications from candidates of all backgrounds.</p><br>
<br>
<b>Please upload CV in ENGLISH ONLY</b></div></div><p></p>

Postdoctoral Research Fellow (Cardiovascular Sciences)

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

Rutgers University

<div><div><h2 class="jobSectionHeader"><b>Position Details</b></h2>
<div><div><div>Position Information
</div><p></p><div><div><div><div><b>Recruitment/Posting Title</b></div> <div>Postdoctoral Associate - CEE Urban Informatics Lab &amp; The Infrastructure Resilience Group</div>
</div><br>
<div><div><b>Department</b></div> <div>Advanced Infrastructure Center</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A minimum of $63,968</div>
</div><br>
<div><div><b>Offer Information</b></div>
<div>The final salary offer may be determined by several factors, including, but not limited to, the candidate&rsquo;s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university&rsquo;s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.</div>
</div><br>
<div><div><b>Benefits</b></div>
<div><div>Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:</div>
<ul><li>Medical, prescription drug, and dental coverage</li>
<li>Paid vacation, holidays, and various leave programs</li>
<li>Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options</li>
<li>Employee and dependent educational benefits (when applicable)</li>
<li>Life insurance coverage</li>
<li>Employee discount programs</li>
</ul></div>
</div><br>
<div><div><b>Posting Summary</b></div>
<div>The Rutgers CEE Urban Informatics lab &amp; The Infrastructure Resilience Group at Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications for two postdoctoral fellow positions in the general areas of community resilience, critical infrastructure protection, and smart cities. The candidates are expected to work in research projects funded by NSF, FEMA, DHS, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and modeling techniques in the fields of infrastructure engineering, social science, and hydrologic science to improve the resilience and security of urban environments during natural and man-made extreme events. They will have opportunities to work in a state of-the-art lab as Rutgers Urban Informatics laboratory is equipped with a suite of sensing systems such as mobile and static lidar systems, infrared thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research. The candidates will also have access to several live testbeds deployed in critical facilities and communities for studies related to early flood warning systems, air quality prediction, and security in soft target and crowded places. The candidates are expected to publish conference and journal papers, collaborate in multi-disciplinary teams, and write grant proposals.</div>
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<div><div><b>Position Status</b></div> <div>Full Time</div>
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<div><div><b>Posting Number</b></div> <div>26FA0456</div>
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<div><div><b>Posting Open Date</b></div>
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<div></div><div><div><b>Posting Close Date</b></div>
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</div></div></div><div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div>Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling, and optimization.</div>
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<div><div><b>Certifications/Licenses</b></div>
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<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div>This position requires good communication and presentation skills, and a strong proficiency in technical writing and editing. The individual will be expected to hold very high standards in how information is developed and presented.</div>
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<div><div><b>Preferred Qualifications</b></div>
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<div></div><div><div><b>Equipment Utilized</b></div>
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<div></div><div><div><b>Physical Demands and Work Environment</b></div>
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<div></div><div><div><b>Overview</b></div>
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<div></div><div><div><b>Statement</b></div>
</div><br>
</div></div></div><div></div><div><div>Posting Details
</div><p></p><div><div><div><div><b>Special Instructions to Applicants</b></div>
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<div></div><div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/274352</div>
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<div><div><b>Campus</b></div> <div>Rutgers University-New Brunswick</div>
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<div><div><b>Home Location Campus</b></div> <div>Busch (RU-New Brunswick)</div>
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<div><div><b>City</b></div> <div>Piscataway</div>
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<div><div><b>State</b></div> <div>NJ</div>
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<div><div><b>Location Details</b></div>
</div><br>
</div></div></div><div></div><div><div>Pre-employment Screenings
<p></p><div>All offers of employment are contingent upon successful completion of all pre-employment screenings.</div><p></p>
</div></div><div></div><div><div>Immunization Requirements
<p>Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate&rsquo;s offer of employment or disciplinary action up to and including termination.</p>
</div></div><div></div><div><div>Equal Employment Opportunity Statement
<p></p><div>It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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</div></div></div></div><p></p><h2 class="jobSectionHeader"><b>Posting Specific Questions</b></h2>
<div><p>Required fields are indicated with an asterisk (*).</p>
<p>
</p></div><h2 class="jobSectionHeader"><b>Applicant Documents</b></h2>
<div><b>Required Documents</b>
<div><ul><li>Resume/CV</li></ul>
<ul><li>Cover Letter/Letter of Application
</li></ul><ul><li>List of Professional References (contact Info)</li></ul>
</div><b>Optional Documents</b>
<div><ul><li>Other Document
</li></ul><ul><li>Research Statement</li></ul>
<ul><li>Certifications/Licenses</li></ul>
<ul><li>Dissertation Abstract</li></ul>
<ul><li>Nomination Letter</li></ul>
<ul><li>Peer evaluations</li></ul></div></div></div>

Postdoctoral Associate - CEE Urban Informatics Lab & The Infrastructure Resilience Group

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)

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