post doctoral researcher

The Mind Research Network

<div>Overview:
<div>
A Post-doctoral research position is currently available in the laboratory of Dr. Andrew Mayer at the Mind Research Network in Albuquerque, New Mexico. The Post-doctoral fellow will conduct independent research in the field of traumatic brain injury, assist other members in the lab with research projects, and develop novel research methods as needed. The Post-doctoral fellow will also work directly with research teams within the Mind Research Network as well as with outside collaborators, develop proposals for research funding, present and publish research data, analyze and interpret a variety of preclinical and clinical data, and perform all other related research duties as required or assigned.</div><div></div><div><br>
Research opportunities include examining the cognitive and neuronal dysfunctions associated with both acute and chronic traumatic brain injury. Ongoing neuroimaging work in the lab include functional MRI (fMRI; task, rest and cerebrovascular reactivity), MRS, structural data, simultaneous real-time fMRI-EEG, neurofeedback and diffusion. Proteomic data analyses and opportunities for data collection are also available. Primary responsibilities will consist of scientific manuscript writing and data analysis. The Post-doctoral researcher will be responsible to select and apply appropriate statistical tests, algorithms, and/or analytic methods. Training in grant writing is available, as well as the opportunity to participate in NIH proposal preparation. The ideal candidate will have a strong background in analytic processing (Linux, Python, R and shell scripting preferred) and neuroimaging software packages (AFNI, FSL).</div><div></div><div><br>
Post-doctoral fellows at MRN are employees and have access to a competitive benefits package.</div><div></div><div><br>
To apply, visit www.mrn.org and refer to Job # in the &ldquo;Jobs&rdquo; section of the website. An Affirmative Action/Equal Opportunity Employer &ndash; M/F/D/V.
</div>Qualifications:
<div>
Requires a Ph.D. or M.D. in a directly related field, and a proven record of peer-reviewed publications including demonstrated first-authorship success in applicable research areas.</div><div></div><div><br>
The successful candidate will have demonstrated effectiveness and experience working as part of a large research team, as well as success performing independent research projects of varying scope. This position requires superior professional-level verbal and written communication skills, which are required to effectively perform in the role. Excellent judgment, problem-solving and decision-making skills are also desired. The ideal candidate should have experience with Linux, Python, R and various image analyses software programs (AFNI, FSL and SPM).
</div>Physical Requirements:
<div>
Work is performed in a dry laboratory environment. Will operate standard office equipment and will frequently stand, walk, sit, perform desk-based computer tasks, use a telephone, perform repetitive motions and occasionally lift objects that weigh up to 20 pounds. May interact with research participants.<br>
<br>
The above is intended to describe the general requirements for the position and should not be interpreted as an exhaustive statement of physical requirements. The Institute will provide reasonable accommodation to any employee with a disability who requires an accommodation to perform the essential functions of the position.</div>
Salary:
<div>
Salary is commensurate with experience.</div><div></div><div><br>
Lovelace Biomedical is an Equal Opportunity Employer</div><div></div><div><i><br>
The Mind Research Network is a division of Lovelace dedicated to advancing the diagnosis and treatment of mental illness and brain injury.</i></div><p><i>
Headquartered in Albuquerque, New Mexico, MRN consists of an interdisciplinary association of scientists located at universities, national laboratories and research centers around the world and is focused on imaging technology and its emergence as an integral element of neuroscience investigation.</i></p><p><i>
With an extended community of academicians, researchers, graduate students and technicians, the MRN is uniquely positioned with its national infrastructure to link the brightest minds in neuroscience with some of the most cutting-edge neuroimaging capabilities in the world today.</i></p></div>

Postdoctoral Fellow

Lovelace Biomedical Research Institute

Glow Beauty on Demand

Postdoctoral Researcher <p>King Abdullah Petroleum Studies and Research Center (KAPSARC) is an advisory think tank within global energy economics and sustainability that serves entities and authorities in the Saudi energy sector. The Postdoctoral Program offers an exceptional opportunity to engage in cutting edge research and foster interdisciplinary collaboration in energy economics, policy, and technology.</p> Program Areas and Responsibilities <ul> <li><b>Utilities & Renewables</b>: support research in power sector modelling (PLEXOS, GAMS, or other major software or programming languages), regulatory topics such as cost recovery, capacity payments, tariff design, and market design and structure, and emerging technologies including batteries, carbon capture and storage, hydrogen, and digitalisation.</li> <li><b>Energy Macro & Microeconomics</b>: conduct research on CGE and DSGE modelling to understand how economic conditions and policy changes in the energy sector impact macro economic variables and the overall economic structure of energy exporting countries, with a particular focus on Saudi Arabia.</li> <li><b>Oil & Gas</b>: specialise in oil markets with an emphasis on supply and demand, monitor and analyse upstream developments, and apply economic and modelling techniques throughout the supply chain from production to refining and consumer behaviour.</li> <li><b>Climate & Sustainability</b>: research climate change policy and regulation, economic aspects of climate change, and carbon market tools and mechanisms.</li> <li><b>Transport & Urban Infrastructure</b>: conduct empirical research and policy analysis on governance models of urban infrastructure development or housing and shelter sufficiency, producing clear, concise, reader friendly evidence based policy papers, working papers, reports, and other publications.</li> </ul> Qualifications and Experience <p>Recent completion or imminent completion of a Ph.D. in Energy Economics, Public Policy, Sustainability, Environmental Science, Engineering, or a related field. Strong knowledge in one or more of KAPSARC's research areas-including energy policy, oil and gas markets, economics, renewables, transportation, climate, and sustainability. Demonstrated expertise in independent research, quantitative and qualitative methods, and relevant software tools and datasets. Excellent verbal and written communication and interpersonal skills for effective collaboration within a multidisciplinary team.</p> Seniority Level <p>Internship</p> Employment Type <p>Full time</p> Job Function <p>Research, Analyst, and Information Technology</p> Industries <p>Home Health Care Services</p>

Postdoctoral Researcher

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>Post-doctoral Research Associate</div>
</div><br>
<div><div><b>Department</b></div> <div>Urban Policy Research Center</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A minimum of $61085</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><div>The Center for Urban Policy Research (CUPR) seeks a Postdoctoral Associate to support externally funded projects aimed at accelerating building and grid decarbonization for a sustainable energy transition. CUPR has multiple ongoing projects funded by the New Jersey Board of Public Utilities, the US Department of Energy, the US Environmental Protection Agency, the National Science Foundation and others that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations. The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate, and address both technical and non-technical (political, behavioral, social) obstacles to building and grid decarbonization. The successful candidate will work with a team of approximately 20 researchers in the built environment group at CUPR and will contribute research skills and training at the intersection of engineering and public policy with knowledge and experience of buildings and energy systems. Specific postdoc duties will depend on the successful candidate&rsquo;s skills and interests as matched to project needs, with time allowance to pursue independent, discretionary work.</div><div>
Responsibilities are expected to include a subset of:</div><div>
(1) Use advanced energy modeling to analyze energy efficiency, demand flexibility, and electrification measures in the building stock.<br>
</div><div>(2) Use advanced community scale energy models to analyze high performance buildings and geothermal energy systems.<br>
</div><div>(3) Assess technical and non-technical barriers to the adoption of renewable energy technologies, including geothermal energy.<br>
</div><div>(4) Conduct analyses of existing codes, standards, and policies related to building decarbonization.<br>
</div><div>(5) Author peer-reviewed publications and public reports on research findings.<br>
</div><div>(6) Maintain a database of research materials, datasets, and codebooks.<br>
</div><div>(7) Assist in developing proposals for external funding.<br>
</div></div>
</div><br>
<div><div><b>Position Status</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>24FA0954</div>
</div><br>
<div><div><b>Posting Open Date</b></div>
</div><br>
<div></div><div><div><b>Posting Close Date</b></div> <div>01/07/2026</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div>Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a related field prior to being hired.</div>
</div><br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div><div>Required</div><div>
o Professional knowledge in mechanical engineering, electrical engineering, civil engineering, architecture, urban planning, or other, as related to building sciences and energy systems</div><div>
o Advanced experience with whole building energy modeling tools such as EnergyPlus, OpenStudio, or DesignBuilder and community scale building energy tools such as UrbanOpt</div><div>
o Strong quantitative research skills, with the ability to leverage these methods for decarbonization strategies</div><div>
o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R</div><div>
o Strong organizational skills and exceptional attention to detail; the successful candidate will record and share detailed accounts of their efforts (analysis steps, etc.) and participate in regularly scheduled research team meetings</div><div>
o Strong written and presentation skills; the successful candidate will be involved in producing written reports summarizing research findings and describing research materials and methodology<br>
<br>
Preferred</div><div>
o Familiarity with energy policy analysis approaches and methods, including stakeholder interest and conflict analysis, benefit-cost analysis, utility rate development, program evaluation, regulatory policy analysis and report writing</div><div>
o Experienced working in multi-disciplinary teams and engaging with diverse stakeholders<br>
o Experienced in social science research methods</div></div>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Equipment Utilized</b></div>
</div><br>
<div></div><div><div><b>Physical Demands and Work Environment</b></div>
</div><br>
<div></div><div><div><b>Overview</b></div>
</div><br>
<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>
<div>The position is in-person, with some flexibility for remote work&mdash;the possibility of renewal for a 2nd year.</div>
</div><br>
<div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/236443</div>
</div><br>
<div><div><b>Campus</b></div> <div>Rutgers University-New Brunswick</div>
</div><br>
<div><div><b>Home Location Campus</b></div> <div>Downtown New Brunswick</div>
</div><br>
<div><div><b>City</b></div> <div>New Brunswick</div>
</div><br>
<div><div><b>State</b></div> <div>NJ</div>
</div><br>
<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
</div>
</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>Writing Sample 1</li></ul></div></div></div>

Post-doctoral Research Associate

<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 Research Associate</div>
</div><br>
<div><div><b>Department</b></div> <div>Clinical Psychology</div>
</div><br>
<div><div><b>Salary Details</b></div> <div>A minimum of $65000</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><div>The Graduate School of Applied and Professional Psychology (GSAPP) at Rutgers, The State University of New Jersey, seeks to hire a Postdoctoral Research Associate to join the Psychopathology and Interpersonal Functioning Lab, led by Dr. Nicole Cain.<br>
</div><div>The Psychopathology and Interpersonal Functioning Lab focuses on advancing our understanding of how interpersonal experiences influence maladaptive behaviors and outcomes. We leverage smartphone-based real-time monitoring of thoughts and behaviors to better understand the proximal risk associated with interpersonal dysfunction, such as how momentary social disconnection relates to increases in suicidal ideation in daily life.</div><div>
The postdoc will gain experience in clinical research methods, with specific involvement in projects focused on interpersonal functioning, personality pathology, and suicide risk. The postdoc is expected to be actively engaged in writing manuscripts and grants to further the aims of the lab and their independent line of research.</div><div>
At Rutgers, postdocs have access to a variety of training and scholarly activities in psychology and related fields (e.g., clinical and research seminars, lab meetings, case conferences, advanced training for diagnostic assessments). Clinical supervision can be provided for individuals seeking to complete psychology licensure requirements.</div></div>
</div><br>
<div><div><b>Position Status</b></div> <div>Full Time</div>
</div><br>
<div><div><b>Posting Number</b></div> <div>25FA0369</div>
</div><br>
<div><div><b>Posting Open Date</b></div>
</div><br>
<div></div><div><div><b>Posting Close Date</b></div> <div>05/29/2026</div>
</div><br>
</div></div></div><div><div>Qualifications
</div><p></p><div><div><div><div><b>Minimum Education and Experience</b></div>
<div><div>A PhD or PsyD in clinical psychology or closely related field</div><div>
Experience working with individuals with suicidality.<br>
Completed APA-Accredited internship</div><div>
Basic competency in statistical analysis of clinical data</div><div>
Proficiency with Qualtrics</div><div>
Previous experience conducting diagnostic evaluations (e.g., SCID, MINI, C-SSRS).</div></div><br>
<div></div>
</div><br>
<div><div><b>Certifications/Licenses</b></div>
</div><br>
<div></div><div><div><b>Required Knowledge, Skills, and Abilities</b></div>
<div><div>Supervise the daily coordination of a federally funded study examining social disconnection and suicide risk in older adults (e.g., IRB maintenance, recruitment, consenting, scheduling, data collection, data management, and data sharing in the NIMH Data Archive);</div><div>
Conduct assessments (including diagnostic assessments) for research studies; opportunities to provide graduate student supervision are available for candidates with appropriate background and experience;</div><div>
Disseminate research findings (analyzing data, writing manuscripts, presenting at conferences);</div><div>
Seek external funding for projects (both supporting PI grant submissions, as well as establishing funding for their independent line of research);</div><div>
Leading community engagement activities to aid in recruitment and retention</div></div><br>
<div></div>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
</div><br>
<div></div><div><div><b>Equipment Utilized</b></div>
<div>Proficiency with statistical software (e.g., R, MPlus, SAS, SPSS)</div>
</div><br>
<div><div><b>Physical Demands and Work Environment</b></div>
</div><br>
<div></div><div><div><b>Overview</b></div>
</div><br>
<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>
<div>Please send a cover letter, curriculum vitae, and the contact information (names, emails) for three references to Dr. Nicole Cain (nicole.cain@rutgers.edu)</div>
</div><br>
<div><div><b>Quick Link to Posting</b></div> <div>https://jobs.rutgers.edu/postings/248432</div>
</div><br>
<div><div><b>Campus</b></div> <div>Rutgers University-New Brunswick</div>
</div><br>
<div><div><b>Home Location Campus</b></div> <div>Busch (RU-New Brunswick)</div>
</div><br>
<div><div><b>City</b></div> <div>Piscataway</div>
</div><br>
<div><div><b>State</b></div> <div>NJ</div>
</div><br>
<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
</div>
</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></div><p></p>

Postdoctoral Research Associate

NK Securities

Gurugram
<br><br>
Why This Role Exists
<br><br>
NK Securities is building a research-driven trading platform where models, not opinions, drive decisions. We are hiring PhD-level researchers to work on pricing models, market microstructure, and machine-learning-driven alpha that directly impact live trading systems.
<br><br>
This is not a sandbox role. Your work will move capital, trade markets, and be evaluated in production.
<br><br>
<b>If you enjoy:</b><br>
Turning theory into models that survive noisy, non-stationary data
<br>Seeing your research deployed and stress-tested in real markets
<br>Working end-to-end—from idea to impact
<br><br>
,this role is designed for you.
<br><br>
What You’ll Work On
<br><br>
You will operate as a research owner, not a support function.
<br><br>
Research & Modeling
<br><br>
Design pricing and fair-value models at short horizons
<br>Model order-book dynamics, liquidity, impact, and micro-price behavior
<br>Research alpha signals using statistical learning and ML/AI methods
<br>Develop models robust to regime shifts, feedback loops, and adversarial noise
<br><br>
Machine Learning & AI
<br><br>
Apply machine learning and modern AI techniques to high-frequency market data
<br>Explore deep learning, representation learning, and sequence models where justified
<br>Balance interpretability, robustness, and predictive power
<br>Build models that generalize—not just optimize backtests
<br><br>
From Research to Production
<br><br>
Run large-scale experiments and rigorous backtesting
<br>Define validation criteria, failure modes, and monitoring metrics
<br>Partner with engineers and traders to deploy models into live systems
<br>Continuously iterate based on real performance feedback
<br><br>
Model Classes You’ll Encounter
<br><br>
You don’t need to know everything—but you should be excited to learn and extend:
<br><br>
Pricing & Microstructure
<br><br>
Fair-value and micro-price models
<br>Order-flow and liquidity models
<br>Spread, impact, and short-horizon price dynamics
<br><br>
Statistical Models
<br><br>
Time-series and state-space models
<br>Volatility and correlation structures
<br>Signal decay and stability modeling
<br><br>
ML / AI Models
<br><br>
Feature-based ML for alpha discovery
<br>Representation learning for structured market data
<br>Deep learning models used selectively and critically
<br><br>
Who We’re Looking For
<br><br>
Education
<br><br>
PhD (completed or near completion) in Mathematics, Statistics, Computer Science, Physics, Electrical Engineering, Operations Research, or related fields
<br>Strong research pedigree and demonstrated ability to solve open-ended problems
<br><br>
Research Strength
<br><br>
Deep understanding of probability, statistics, and linear algebra
<br>Ability to translate abstract ideas into testable, empirical models
<br>Comfort reasoning under uncertainty and imperfect data
<br>Evidence of original thinking (papers, thesis work, significant projects)
<br><br>
Technical Skills
<br><br>
Strong Python for research and experimentation
<br>Experience with ML / AI frameworks (e.g., PyTorch, TensorFlow)
<br>Comfort working with large datasets and computational experiments
<br>Exposure to C++ or performance-oriented systems is a plus, not a requirement

PhD Quant Researcher

University of Maryland, Baltimore

<div></div><div><div><p><b>JOB OVERVIEW</b></p><p>
We are seeking a highly motivated and skilled post-doctoral researcher to join our interdisciplinary team for an exciting project focused on the biomechanical evaluation of cardiac valves. The project aims to assess stress and strain behavior of native and/or prosthetic heart valves through a combination of benchtop experimental testing and computational simulations (e.g., finite element analysis, fluid-structure interaction).</p><p>
This work will contribute to improving our understanding of valve biomechanics, inform device design, and support the development of advanced diagnostic and therapeutic strategies in cardiovascular medicine.</p><p></p><p><b>
PRIMARY DUTIES</b></p><ul><li> Design and conduct benchtop experiments to simulate physiological cardiac loading conditions.</li><li> Develop and validate computational models (FEA/FSI) of cardiac valves.</li><li> Integrate experimental data with simulation results to evaluate stress and strain distributions.</li><li> Collaborate with clinicians, engineers, and scientists across disciplines.</li><li> Prepare manuscripts for peer-reviewed journals and present findings at conferences.</li></ul><div><br>
</div></div><div><b>
Qualifications</b><div></div><p><b><br>
QUALIFICATIONS</b></p><p>
Required:</p><ul><li> Ph.D. in Biomedical Engineering, Mechanical Engineering, Biomechanics, or a related field.</li><li> Strong background in biomechanics, particularly soft tissue mechanics.</li><li> Experience with benchtop mechanical testing (e.g., pressure-flow loops, valve testers).</li><li> Proficiency in computational modeling (e.g., Abaqus, ANSYS, FEBio, COMSOL, or similar).</li><li> Programming and data analysis skills (MATLAB, Python, etc.).</li><li> Strong communication skills and ability to work in a team-oriented environment.</li></ul><p></p><p>
Preferred:</p><ul><li> Experience with cardiovascular physiology and/or cardiac valve function.</li><li> Familiarity with fluid-structure interaction (FSI) modeling.</li><li> Prior publications in relevant areas (biomechanics, cardiovascular modeling).</li></ul><div><br>
</div></div><div><b>
Job</b><b>:</b> Postdoctoral Fellows</div><div><b>
Organization</b><b>:</b> School of Medicine - Clinical Departments</div><div><b>
Job Posting</b><b>:</b> Dec 31, 2025</div></div>

Post-Doctoral Fellow - Cardiac Surgery

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