A fully funded PhD position is available in the field of Computational Fluid
Dynamics (CFD) at the University of Louvain (UClouvain). The successful
candidate will conduct research on turbulent natural convection with an
evaporative free surface — a topic of great relevance to both environmental and
engineering applications. This project forms part of a broader research
initiative aimed at deepening our understanding of natural convection at high
turbulence intensities with phase-change phenomena such as evaporation and
boiling.


The successful candidate will join the Multiphase and Reacting Flows
Group of  Professor M. Papalexandris at the Institute of Mechanics, Materials
and Civil Engineering at UCLouvain. Further information about the group’s
activities can be found on our website: https://sites.google.com/site/
mvpapalexandris/


The scholarship offers: competitive salary, health insurance
and social benefits, financial support for attending conferences and workshops,
and access to state-of-the-art computational facilities


Required
qualifications:
- Master's degree in Engineering, Mathematics or Physics
(preferably with some background in fluid mechanics and numerical analysis)
-
Strong academic performance with a minimum master's average grade of 70/100.
-
Proficiency in computer programming, preferably in C/C++ or Python
- Strong
communication skills and proficiency in written and spoken English

Interested
applicants are invited to submit the following documents to Professor M.
Papalexandris, miltos@uclouvain.be
1. A detailed CV
2. Academic transcripts
3.
Statement of research interests, and
4. Names and contact details of two references

As the world moves towards a low-carbon energy production model, marine
renewable energy is experiencing significant growth. Some of these technologies
have already reached a certain maturity, such as offshore wind turbines, while
others are still at the prototype stage, such as wave and tidal energy. But
whatever the technology, all would benefit from advanced modeling methods to
better predict their behavior. Over the years, the Flow and Environment team at
LUSAC laboratory has developed expertise in modelling MREs such as tidal
turbines. One of the simulation methods used is the Lattice Boltzmann Method
(LBM) coupled to Large Eddy Simulation (LES). It has already been applied
successfully to modeling tidal sites and tidal turbines. Recently, the focus of
our study has been on Vertical Axis Tidal Turbine (VATT). The main method used
to model a Vertical Axis Tidal Turbine (VATT) is the Actuator Line Model (ALM),
which is coupled with our LBM-LES tool. To increase understanding and confidence
in this model, a deeper knowledge of the influence of ALM-LBM-LES simulation
parameters is required. These parameters include, but are not limited to,
spatial discretisation, the interpolation scheme, and the force kernel.

The CFD
library used for this internship is Palabos. By running unsteady simulations of
a single VATT, you will assess the influence of the various simulation
parameters on the turbine wake and its performance. Depending on your progress,
you may consider turbulent inflow and/or multiple turbines. Data visualization
and post-processing of results will be carried out mainly using Paraview and
Python scripts. Simulations will be run in a Linux environment, on our local
cluster and/or on the CRIANN cluster.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computer Aided Engineering (CAE) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, automated mesh/re-mesh for key components especially moving 
components. 

With our continued expansion in the industry, we are currently seeking CFD 
project engineers to help meet the increasing demand in our Detroit office. The 
project engineer is responsible for providing expertise and developing CFD 
methods and will work closely with the customer and solver developers to 
communicate simulation results and recommendations. The candidate will use 
Simerics’ own software Simerics-MP/Simerics-MP+ to perform required simulations, 
in conjunction with Computer Aided Design (CAD) tools such as SolidWorks, PTC 
Creo, SpaceClaim, Python, and etc.

Detailed job responsibilities include:
CFD/CAE Applications:
• Develop 3D simulation models for various thermal/fluid applications including 
electric motor cooling for electric cars, battery cooling, fuel injection, oil 
splash in transmission gearbox, positive displacement pumps, valves, vehicle 
thermal management, and etc.
• Research and development of new methods and simulation processes to provide 
fast and accurate simulation strategy for customer’s product development.
• Analyze the dominant physics involved in the system (flow, multiphase, 
cavitation/aeration, pressure ripple, temperature, torque/power)
• Identify the critical parameters and perform optimization to improve product 
performance and design
• Interpret simulation results and prepare high-quality presentations.
• Participate in conferences and publish research articles.

Technical Training/Support:
• Provide modeling and simulation guidance and assistance to the users of 
Simerics, from pre-processing in CAD, simulation setup to post-processing.
• Training and interact with customers to analyze the technical needs, deliver 
reports and reviews, and provide solutions to clients’ technical challenges.
• Prepared and presented technical documents to show the features and 
capabilities of Simerics at conferences client meetings.

Required Qualifications:
• A Ph.D. degree in engineering, mathematics, physics or similar 
discipline with emphasis on thermal fluid. Or a master's degree with 1+ years 
equivalent industrial experience.
• Solid understanding of numerical methods, such as finite volume and finite 
difference methods.
• Strong technical background in fluid mechanics, heat transfer, thermodynamics.
• Highly motivated and dynamic, strong interpersonal and communication skills, 
be a team player
• Demonstrated skills in writing and presenting in fluent English
Desired Qualifications:
• Demonstrated experience programming in C, C++, FORTRAN, or Python.
• Familiarity with Linux and parallel computation.
• Experience with the use of commercial and/or non-commercial CFD tools in 
solving flow problems.
• Experience in multiphase flow, phase change.
• CAD experience (SolidWorks, Creo, CATIA, AutoCAD, or NX).
We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. If interested, please send your CV to the hiring 
manager, Dr. Chiranth Srinvasan, at cs@simerics.com.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computer Aided Engineering (CAE) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, automated mesh/re-mesh for key components especially moving 
components. 

With our continued expansion in the industry, we are currently seeking CFD 
project engineers to help meet the increasing demand in our Detroit office. The 
project engineer is responsible for providing expertise and developing CFD 
methods and will work closely with the customer and solver developers to 
communicate simulation results and recommendations. The candidate will use 
Simerics’ own software Simerics-MP/Simerics-MP+ to perform required simulations, 
in conjunction with Computer Aided Design (CAD) tools such as SolidWorks, PTC 
Creo, SpaceClaim, Python, and etc.

Detailed job responsibilities include:
CFD/CAE Applications:
• Develop 3D simulation models for various thermal/fluid applications including 
electric motor cooling for electric cars, battery cooling, fuel injection, oil 
splash in transmission gearbox, positive displacement pumps, valves, vehicle 
thermal management, and etc.
• Research and development of new methods and simulation processes to provide 
fast and accurate simulation strategy for customer’s product development.
• Analyze the dominant physics involved in the system (flow, multiphase, 
cavitation/aeration, pressure ripple, temperature, torque/power)
• Identify the critical parameters and perform optimization to improve product 
performance and design
• Interpret simulation results and prepare high-quality presentations.
• Participate in conferences and publish research articles.

Technical Training/Support:
• Provide modeling and simulation guidance and assistance to the users of 
Simerics, from pre-processing in CAD, simulation setup to post-processing.
• Training and interact with customers to analyze the technical needs, deliver 
reports and reviews, and provide solutions to clients’ technical challenges.
• Prepared and presented technical documents to show the features and 
capabilities of Simerics at conferences client meetings.

Required Qualifications:
• A Ph.D. degree in engineering, mathematics, physics or similar discipline with 
emphasis on thermal fluid. Or a master's degree with 3+ years equivalent 
industrial experience.
• Solid understanding of numerical methods, such as finite volume and finite 
difference methods.
• Strong technical background in fluid mechanics, heat transfer, thermodynamics.
• Highly motivated and dynamic, strong interpersonal and communication skills, 
be a team player
• Demonstrated skills in writing and presenting in fluent English
Desired Qualifications:
• Demonstrated experience programming in C, C++, FORTRAN, or Python.
• Familiarity with Linux and parallel computation.
• Experience with the use of commercial and/or non-commercial CFD tools in 
solving flow problems.
• Experience in multiphase flow, phase change.
• CAD experience (SolidWorks, Creo, CATIA, AutoCAD, or NX).
We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. If interested, please send your CV to the hiring 
manager, Dr. Chiranth Srinvasan, at cs@simerics.com.

Dr. Cécile Devaud is seeking three highly motivated graduate students, MASc or
PhD, to join a fully funded project on computational fluid dynamics (CFD) for
turbulent reactive flow, with a focus on hydrogen combustion for aero gas
turbine applications. The project centers on developing advanced modeling and
simulation tools of turbulent combustion in a wide range of conditions (close
to/far from extinction) and regimes (non-premixed/premixed/partially premixed).
Graduate positions are fully funded for up to 2 years for MASc students and up
to 4 years for PhD students following departmental stipend guidelines.      


About you                       
Strong academic performance, experience in CFD,
combustion, numerical methods, and proficiency in scientific programming (C++,
Matlab, Python). 

How to apply
Please send a brief statement of research
experience, a CV, and transcripts to Dr. Cécile Devaud (cdevaud@uwaterloo.ca)
with email subject line: CFD-TCM graduate positions. Only candidates with strong
academic records will be considered. Candidates from both Canadian and
international backgrounds are welcome to apply. We thank all applicants for
their interest; however, only shortlisted candidates will be contacted.
Candidates who can start immediately in Canada will be given priority. For full
consideration, please submit your materials, preferably by January 10, 2026.
 Applications will be reviewed on a rolling basis until available positions are
filled.

About the University of Waterloo (UW)
UW-Engineering graduates the
largest number of engineers in Canada annually. The main University of Waterloo
campus is in the city of Waterloo, Ontario, approximately 1 ½ hours (by car)
outside of Toronto. This is home to most of UW engineering programs and
facilities including state-of-the-art research and teaching labs, media labs and
collaborative spaces. 
Not only is Waterloo home to an array of startups and
tech giants, it is also a good place to live. It offers a vibrant food scene
with something for everyone from farmers’ markets to vegan cafés and award-
winning restaurants. Waterloo is a fast-growing city with a relaxed small-town
character. Surrounded by beautiful countryside and located in easy distance from
Toronto, Waterloo is a great place to call home.

A postdoctoral position is available in the Fluid Mechanics group at the Gran Sasso Science Institute (GSSI). The position is funded 
through the HYPEROUGH project (Hypersonic Turbulent Boundary Layers over Rough Surfaces), supported by EOARD, and is available for a 
duration of two years.

The HYPEROUGH project aims to investigate supersonic and hypersonic turbulent boundary layers over rough surfaces using direct numerical 
simulations, with the goal of developing physics-based predictive models for wall heat transfer and aerodynamic drag.

Applicants must hold a PhD in Fluid Mechanics and have a proven track record of high-quality research. Priority will be given to 
candidates with experience in high-speed turbulent flows, wall turbulence, and large-scale numerical simulations. Previous work on rough-
wall turbulence will be considered an additional asset.

The position includes a competitive salary and full social security coverage, according to GSSI regulations. The successful candidate will 
join an international research environment and will have access to high-performance computing facilities and support. The postdoctoral 
researcher will run high-fidelity simulations, analyze turbulent-flow data, and present results at international conferences, for which 
dedicated travel funds are available.

For inquiries about the project or the position, candidates may contact Dr. Davide Modesti.

Applications must be submitted through the GSSI website: https://applications.gssi.it/postdoc no later than 15:00 on 12 January 2026. 
Candidates should upload the following documents:

- Curriculum vitae, including a list of publications

- Research statement relevant to the HYPEROUGH project

- Publications in PDF format (no more than three; the PhD thesis may be included among the three)

- Academic qualifications and supporting documents in PDF format (e.g., MSc and PhD certificates, additional relevant certifications)

- Valid identification document

One PhD position is available to conduct research focused on the intersection of 
Deep Learning (DL) and Computational Fluid Dynamics (CFD).

Requirements:
1. BS/MS degree in a relative field, e.g., Engineering, Applied Mathematics, or 
Computer Science.
2. Strong theoretical background in Fluid Dynamics and Computational Methods.
3. Demonstrated programming skills in high-performance computing (HPC), 
particularly in Python or C/C++.
4. Familiarity with standard ML model architectures and workflows using major deep 
learning frameworks such as PyTorch or TensorFlow.

If you are interested, please contact me asap.

PhD Positions in the Computational and Theoretical Multiphysics Laboratory

Multiple PhD positions are available immediately in the Computational and Theoretical Multiphysics Laboratory in the Department of Mechanical and Aerospace Engineering at Florida State University (https://eng.famu.fsu.edu/me).

Research Areas Include:

• Multiphase Flow: Computational and theoretical studies of multiphase systems, including phase change, bubble dynamics, and interface-resolving simulations.
• Turbulent Boundary Layers and Fluid-Structure Interaction (FSI): Investigating turbulent flows, flow-induced vibrations, and fluid-structure interactions using high-fidelity simulations and reduced-order modeling.
• Gust-Airfoil Interaction: Developing data-driven models to predict unsteady aerodynamic responses of airfoils under gusts, including short-time predictions and flow control strategies.
• Biolocomotion: Dynamics of microswimmers, nonlinear low-Reynolds-number flows, and bio-inspired locomotion studied through advanced computational and theoretical modeling.

Relevant Skills/Interests:

• Creativity and interest in interdisciplinary research
• BSc/MSc degree in mechanical, aerospace, civil engineering, applied mathematics, computational physics, or related fields
• Experience in CFD, multiphase flow simulations, unsteady aerodynamics, or biolocomotion
• Programming skills (Python, MATLAB, C++, Fortran)
• Familiarity with machine learning (TensorFlow, PyTorch) is a plus for ML-focused projects
• Strong oral and written communication skills

Start Date:

The start date is August 2026.

Application Materials:

Please submit the following to Dr. Kourosh Shoele (kshoele_at_fsu_dot_edu):

• A short statement of research interests and background
• CV
• Unofficial transcripts
• Names and contact information of three references

Include the phrase "PhD applicant – [preferred research area]" in the subject line of your email (e.g., "PhD applicant – Multiphase Flow").

PhD Position Fluid Dynamics of Battery Recycling

Fluid dynamics of battery particles in flow: towards reducing the world's dependence on Critical Raw 
Materials 
 
Job description

The rapid expansion in the use of batteries in recent years has created a critical issue: metals that are 
necessary for battery manufacturing (cobalt, nickel, lithium, etc) are scarce  and their supply is 
constrained, creating insecurities about future supply and geopolitical frictions. As part of the CRM Lion 
consortium, TU Delft, in collaboration with several industrial partners, aims to find a solution to the 
problem by extracting metals from spent lithium ion batteries. The PhD project focuses on multiphase flow 
simulations to fundamentally understand the fluid mechanics and transport phenomena controlling the 
metal dissolution and extraction process.
 
Scientific context: The state of the art method for battery recycling is hydrometallurgical dissolution, also 
called leaching dissolution. Leaching is a method for metal dissolution and separation that occurs in liquid 
solvent under mixing conditions. How can this method be optimised to make the process more 
environmentally friendly and reduce its cost (so that battery recycling can be a valid alternative to 
conventional mining)? Replying to this question requires an understanding of the convective and diffusive 
phenomena that occur at the solid-liquid interface of the battery particulate materials during leaching, and 
how these phenomena affect mass transfer at the level of the particulate suspension.
 
Project objectives: i) to develop mathematical and numerical models of the coupled fluid and mass 
transfer that occurs during the process of leaching of the black mass, a particulate (multiphase) mixture 
that originates from crushed Li-ion batteries, and ii) to investigate the microscale physical processes that 
give rise to leaching, both in laminar and turbulent flow conditions.
 
Approach: To reach the above objectives, a PhD candidate with an interest in multiphase fluid mechanics 
and in the development of numerical methods will be supervised by Dr. Lorenzo Botto (TU Delft's Process 
& Energy Department), in collaboration with Dr. Shoshan Abrahami (TU Delft's Materials Science and 
Engineering Department). The selected candidate will work as part of a research team, and work in 
collaboration with experimentalists. Specifically, 1 experimental PhD student and 1 experimental postdoc 
who will provide data for validation and experimental insights. A Dutch industrial company that develops 
an innovative metal extraction method will also be involved in the PhD project, and will furnish data, 
insights, and help developing relevant research questions. The ability of the PhD student to work in a team 
will therefore be valuable.
 
The numerical approach is based on an Eulerian-Lagrangian model of coupled transport of momentum, 
mass of leaching reactants and mass of leaching products, with experimentally measurable chemical 
kinetics parameters.
 
Job requirements

 We are looking for 1 candidate with an MSc in Mechanical Engineering, Aeronautical Engineering, Applied 
Physics, Chemical Engineering, Mathematics or related disciplines.
 
Applicants need to demonstrate:

An excellent track record in their education and research.
A strong educational background in fluid dynamics and transport phenomena.
Research experience in theoretical or numerical fluid dynamics, as evidenced by academic reports, theses 
or scientific papers from previous research; experimentalists will be considered if they can prove their 
ability to handle mathematical models.
An ability and willingness to learn to communicate effectively with different audiences.
Excellent command of English (written and spoken).
Interest in working in a team with close synergy between experiments and simulations.
An open mind to collaborate with colleagues, project partners, and industry.
An interest in investigating fundamental fluid dynamics processes with the aim of solving a practical 
problem.
 
TU Delft (Delft University of Technology) 

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch 
waterworks and pioneers in biotech, TU Delft is a top international university combining science, 
engineering and design. It delivers world class results in education, research and innovation to address 
challenges in the areas of energy, climate, mobility, health and digital society. For generations, our 
engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. 
 
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where 
you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our 
work more innovative, the TU Delft community more vibrant and the world more just. Together, we 
imagine, invent and create solutions using technology to have a positive impact on a global scale. That is 
why we invite you to apply. Your application will receive fair consideration. 
 
Challenge. Change. Impact! 
 
Faculty Mechanical Engineering 

From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to 
understand our environment and discover its underlying mechanisms, research and education at the ME 
faculty focusses on fundamental understanding, design, production including application and product 
improvement, materials, processes and (mechanical) systems. 
 
ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large 
faculty but also versatile, so we can often make unique connections by combining different disciplines. 
This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become 
responsible and socially engaged engineers and scientists. We translate our knowledge and insights into 
solutions to societal issues, contributing to a sustainable society and to the development of prosperity and 
well-being. That is what unites us in pioneering research, inspiring education and (inter)national 
cooperation. 
 
Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience 
working at our faculty? These videos will introduce you to some of our researchers and their work.
 
Conditions of employment 

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 
employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 
months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and 
performance requirements are met. 

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, 
increasing from €3059 - €3881 gross per month, from the first year to the fourth year based on a fulltime 
contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.  
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School 
provides an inspiring research environment with an excellent team of supervisors, academic staff and a 
mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related 
and research skills. 

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly 
work costs contribution. Flexible work schedules can be arranged.  

 
Additional information
For more information about this vacancy, please contact Dr. Lorenzo Botto, email: l.botto@tudelft.nl. 
Informal enquires are welcome.
 
Application procedure

Are you interested in this vacancy? Please apply no later than 4 January 2026 via the TU Delft job 
application website: 

https://careers.tudelft.nl/job/Delft-PhD-Position-Fluid-Dynamics-of-Battery-Recycling-2628-
CD/1333034957/

Upload the following documents:
A cover letter specific to this vacancy, motivating your interest and fit for the project
Your CV, including contact information of at least 2 references
A copy of your MSc thesis report

Any other document which can give insights into the quality of the candidate's previous work can be 
uploaded.
 
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able 
to communicate and interact well, participate in English-taught Doctoral Education courses, and write 
scientific articles and a final thesis. For more details please check the Graduate Schools Admission 
Requirements. 

Please note:

You can apply online. We will not process applications sent by email and/or post. 
As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. 
We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. 
The assessment is based on information provided by the candidates themselves, such as their motivation 
letter and CV, and takes place at the final stages of the selection process. When the outcome of the 
assessment is negative, the candidate will be informed. The processing of personal data in the context of 
the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public 
interest. You can find more information about this assessment on our website about knowledge security.
Please do not contact us for unsolicited services.
 

The Medical Modeling & Simulation Laboratory at Old Dominion University (ODU) is 
seeking a highly motivated PhD student to join a multidisciplinary research 
program at the intersection of computational fluid dynamics (CFD), fluid–
structure interaction (FSI), biomechanics, and physiological modeling.


This position is part of ODU’s rapidly expanding medical–engineering ecosystem 
following its new R1 designation, its historic merger with Eastern Virginia 
Medical School (EVMS), and the establishment of EnMed – the Institute for 
Engineering in Medicine, Health, and Human Performance.

The selected student will collaborate closely with partners across ODU, EVMS, 
Sentara Healthcare, VMASC, and EnMed, with opportunities to interact with 
clinicians and computational scientists on translational, high-impact projects.


⸻


About the Research (Medical Modeling & Simulation Laboratory)


The lab focuses on developing physics-based computational models of human 
physiology with emphasis on:

• High-fidelity simulations of physiological flow in patient-specific or 
anatomically realistic geometries

• Fluid–structure interaction modeling of tissues, valves, and dynamic 
biological systems

• Integrating advanced numerical methods into studies of health, disease, and 
medical device performance

• Creating next-generation computational tools and digital-twin frameworks for 
medicine


Students will work in a collaborative environment combining engineering, 
medicine, and high-performance computing.


⸻


Required Candidate Characteristics


We prioritize character, mindset, and research drive over specific technical 
checkboxes.

Applicants should demonstrate:

• Strong problem-solving skills

• Critical thinking and analytical reasoning

• High curiosity and enthusiasm for research

• Self-motivation and ability to work independently

• Strong collaboration and teamwork skills

• Clear communication abilities

• Persistence, adaptability, and willingness to learn

• Professionalism, reliability, and strong work ethic


Students who embody these traits will be successful even if they are new to 
CFD/FSI.


⸻


Preferred / Desired Technical Background


(Not required – students with strong motivation are encouraged to apply even 
without these skills.)

• Background in mechanical engineering, biomedical engineering, applied 
mathematics, physics, or related STEM fields

• Exposure to continuum mechanics, fluid dynamics, or structural mechanics

• Interest or experience in CFD, FEA, or FSI

• Programming familiarity with C++, Python, or MATLAB

• Experience with numerical methods (FVM, FEM, FDM)

• CAD experience (SolidWorks, AutoCAD, Creo) for geometry/mesh prep


⸻


Why Join ODU’s Medical Modeling & Simulation Laboratory?


ODU provides a unique environment combining engineering, medicine, and 
computation:

• R1 University (Very High Research Activity)

• Integrated ODU–EVMS academic health system supporting engineering–medicine 
collaboration

• New EnMed Institute, advancing engineering solutions in health and human 
performance

• Close partnerships with Sentara Healthcare, including Sentara Heart Hospital

• VMASC (Virginia Modeling, Analysis & Simulation Center) – nationally 
recognized leader in modeling & simulation

• Strong HPC infrastructure for large-scale simulations

• Access to clinicians, imaging data, translational projects, and 
interdisciplinary collaborations


The position offers an exceptional platform for a student aspiring to work at 
the cutting edge of computational medicine.


⸻


Application Instructions


Send the following:

• CV

• Brief statement of research interests or motivation

• Contact information for 2-3 references


Send to: jhlee@odu.edu


⸻


Start Date


Fall 2026


⸻


Location


Norfolk, Virginia – part of the Hampton Roads coastal research corridor with 
strong clinical and engineering partnerships.