The selected candidate must have at least 5 years research and development 
experience in Computational Fluid Dynamics for complex multi-physics and 
compressible multi-phase fluid dynamic problems.

Primary Requirements:

•	Experience in code development and in-depth research involving coupled 
        Eulerian and Lagrangian particles.
•	Experience in code development and in-depth research involving turbulent 
        combustion, solid-propellant rocket motor, and plume signature 
        simulations.
•	Experience in CFD code development based on Immersed Boundary method.
•	Recent publications in above related topics.
•	List of Phase I and Phase II awards as PI is strongly encouraged.
•	In possession of Green Card or US Citizenship

Additional Requirements:

•	Proficient in programming language Python, C/C++, and Fortran.
•	Experience in structured and unstructured grid generation for aerospace 
        configurations using tools such a Pointwise or GridPro.
•	Experience with flow visualization software such as Fieldview, Tecplot, 
        or Paraview.
•	Experience in the management of large number of simulations on remote 
        HPC resources.
•	Familiarity with industrial CFD tools such as OVERFLOW, FLUENT, CFD++, 
        etc.
•	Familiarity with NASA’s Chimera Grid Tools package is a plus. 

Education Requirements:

• PhD or Masters degree in Mechanical and Aerospace engineering or related 
fields.

The Department of Mechanical Engineering at the Technical University of Darmstadt seeks candidates at the earliest possible date for a Full University Professorship (W3) for Numerical Methods in Fluid Mechanics. We are looking for a scientist with an international reputation and visibility who will represent the field of numerical methods in fluid mechanics in research and teaching.

The research focus of the professorship should cover the development of numerically efficient, highly accurate or structure-preserving spatial and temporal discretization methods for stationary or transient fluid mechanical problems, as well as their use for practical engineering applications.

In this context, the professorship should also address at least one of the following topic areas:

• Consideration of coupled or multiphysical phenomena, such as aerodynamics and aeroacoustics, high-speed flows, shock waves, thermofluidics, fluid-structure interactions, reactive flows, multiphase flows, processes involving phase transformations, or soft and biomaterials.
• Implementation of numerical methods in efficient codes and on highly parallelized computer architectures such as HPC or GPU clusters, or in the future also quantum computers.
• Linking CFD with physics- or data-based model reduction methods (e.g. in conjunction with machine learning), shape or topology optimization, quantification of uncertainties, or integration into digital twins and process chains.

The willingness to cooperate nationally and internationally and to work interdisciplinary both within the department and with other departments and research institutions is expected.

The professorship will also represent the field of numerical methods in fluid mechanics in teaching and will also participate in comprehensive courses of the department. The willingness and ability to teach courses in German or English language is required.

Candidates are expected to have completed an engineering, mathematical, or science degree with a subsequent qualified doctorate, internationally visible research achievements, habilitation or habilitation-equivalent (postdoctoral) accomplishments, experience in obtaining third-party funding, didactic and pedagogical suitability, leadership skills, and the willingness to participate in academic self-administration. Experience in the development of numerical methods and their use to solve fluid mechanical problems with a strong connection to engineering science should be proven through high-ranking publications.

Further information and application: https://www.career.tu-darmstadt.de//HPv3.Jobs/TU-Darmstadt/stellenangebot/36735/46235?lang=en

PhD in optimisation of compact heat exchangers at King’s College London

PhD opportunity to explore fluid topology optimisation for heat exchange systems using high-fidelity CFD.  
The goal of the work is to develop novel compact heat exchangers through combining the capabilities of 
additive manufacturing and the greater degree of freedoms offered by optimisation techniques.

Engineering applications:
-	Hydrogen fuel systems
-	Turbine blade cooling
-	Thermal management of electric parts

Applicants should have a strong skills or interest in CFD, fluid mechanics, numerical methods, and 
programming.

CFD RESEARCH ENGINEER: APPLICATIONS

Convergent Science is a rapidly growing computational fluid dynamics (CFD) 
company. Our flagship product, CONVERGE, is a state-of-the-art CFD software 
suite used by industry and research organizations around the world to simulate 
turbulent reacting flows in complex geometries. Convergent Science is 
headquartered in Madison, Wisconsin, USA, with additional offices in the USA, 
Europe, and India.

Position Overview
This job posting is for a full-time position at our headquarters in Madison, 
Wisconsin. We are seeking an engineer to support, train, and perform consulting 
services for our clients. Other duties include running cases with new features 
and sharing your results, as well as developing proposals for future work.

Requirements
M.S. or Ph.D. in engineering, computer science, mathematics, or related field
Extensive CFD knowledge
Excellent written and verbal communication skills
Experience programming in C, C++, Fortran, and MPI (desirable)
Knowledge of combustion, turbulence, and spray modeling (desirable)
Background in chemical kinetics (desirable)
Gas turbine simulation experience (desirable)
Electric motor simulation experience (desirable)
Pump and compressor simulation experience (desirable)
Internal combustion engine simulation experience (desirable)
On-site client visits and conference attendance will be required occasionally, 
so applicants should be willing to travel. In addition to the technical 
knowledge required for this position, applicants should be outgoing, creative, 
and highly motivated.

Benefits
Salary commensurate with experience
Possible annual bonus
Paid holidays and paid time off
Paid time off for company-approved volunteer activities
401k with employer match
Health, dental, and vision insurance
Short- and long-term disability insurance and life insurance

Convergent Science, Inc., is an Equal Opportunity Employer. We are committed to 
building a diverse team and to creating an inclusive environment for all 
employees. We believe that diversity and inclusion make our company stronger and 
our software better. All qualified applicants will receive consideration for 
employment without regard to race, color, religion, sex, sexual orientation, 
gender identity, national origin, disability, or status as a protected veteran.

Application Instructions
Interested applicants should send their resume and salary requirements to 
Carolyn Noltemeyer at support1@convergecfd.com.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computational Fluid Dynamics (CFD) 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, and automated mesh/re-mesh for moving components. 

With our continued expansion in the industry, we are seeking applications for an 
AI Engineer who will work on implementing the companies’ generative AI 
developments under the guidance of the development team.

•	Use Python to implement generative AI solutions for Simerics-MP+
•	Keep abreast of the latest developments in the field of generative AI
•	Identify the most promising approaches and update according to the 
evolution of the field
•	Develop a strong understanding for a variety of CFD applications such as 
pumps, valves, vehicles, marine etc…
•	Develop proposals for future work
•	Collaborate with project and sales engineers to incorporate inputs into 
the solution

Required qualifications:
•	A Bachelors degree in engineering, mathematics, physics, or a similar 
discipline. 
•	Background and coursework in fluids/thermal field.
•	Excellent and demonstrable command of Python. 
•	Exposure to advanced engineering simulation tools.

Not required, but beneficial:
•	Exposure to performing development using generative AI will be a major 
plus: LLMs, fine-tuning, retrieval augmented generation (RAG) etc…
•	Masters degree in engineering, mathematics or physics with 
fluids/thermal emphasis.
•	Prior experience performing software development using Python.
•	Knowledge of machine learning and specifically, deep learning.

Salary and Benefits:
• We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. 
• Family general, dental and vision insurance.
• Bonus based on performance.
• 401-K match.

If interested, please send your resume to Dr. Sujan Dhar, at sd@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.

PhD Opportunity in Australia: Exploring particle-bubble interactions in unsteady 
flows at UQ School of Mechanical and Mining Engineering (Centre for Multiscale 
Energy Systems)

The goal of the project is to investigate the complex interactions between small 
particles and rising bubbles, using high-fidelity numerical simulations on 
modern GPUs. This will provide insight into the fundamental principles that 
govern their behaviour in various flow conditions.

Engineering applications in which understanding of such flows is crucial 
include:
•Hydrogen production through methane pyrolysis;
•Mineral processing in flotation systems;
•Beer brewing in immobilised yeast reactors.

To be eligible, you need to:
- Meet UQ's PhD entry requirements (find in the link below)
- Have strong skills or interest in programming, numerical methods, and fluid 
mechanics

If this sounds like you (or someone you know), feel free to reach out to me 
directly or see more information at:
https://lnkd.in/gD8BFAQN 

Notre groupe, le groupe de recherche du Professeur Julien Sylvestre, à 3iT à 
l'Université de Sherbrooke, est à la recherche d'étudiants en master pour 
rejoindre un groupe dynamique de chercheurs. Voici une brève description du 
projet :
L'objectif du projet proposé est de créer des solutions innovantes et 
performantes pour le refroidissement de composants électroniques de forte 
puissance. Les résultats du projet proposé comprendront des technologies fiables 
qui sont compatibles avec les infrastructures de fabrication modernes et qui 
offrent une solution économique réponse à la demande croissante de centres de 
données économes en énergie et de microprocesseurs à très haute puissance. Les 
nouveaux principaux concepts de la recherche proposée consistent à utiliser un 
nouveau revêtement de cuivre poreux électroplaqué dans des thermosiphons fermés 
à basse pression pour obtenir des performances de pointe dans les 
microprocesseurs refroidis par air. Nous sommes à la recherche de candidat(e)s 
motivé(e)s (2 MscA) aux compétences variées. En plus de votre curiosité pour la 
recherche, vos champs d’intérêts doivent graviter autour de de certains de ces 
sujets : 

- Intégration de nouvelles technologies dans un centre de données 
- Conception de montages expérimentaux (fabrication de gabarits, 
instrumentation, etc.)
- Modélisation de phénomènes physiques par la méthode des éléments finis et 
computational fluid dynamics (CFD)
- Comportement des fluides et transfert de chaleur

Le projet sera mené par le professeur Julien Sylvestre (UDS), en étroite 
collaboration avec Systemex Energies et East-West Manufacturing. Les travaux 
s'effectueront à l'Institut Interdisciplinaire d'innovation technologique (3iT) 
de Université de Sherbrooke. Pour plus d'informations, ou pour soumettre votre 
candidature, contactez Omidreza Ghaffari, PhD.(omidreza.ghaffari@usherbrooke.ca)

As part of the NRC KPN grant “Bottom Fixed Offshore Wind Turbines in Extreme Waves” (B-WAVE), we have a 
vacancy for a 3-year PhD position at the Department of Civil and Environmental Engineering within the Marine 
Civil Engineering group. The ever-growing demand of offshore wind for a sustainable green energy supply 
requires increasing research on accurate and efficient evaluations of the sea states and the wave loads on the 
wind turbine substructures. In the B-WAVE project, the wave conditions and wave loads will be analysed 
through a numerical framework with extensive validations.

This specific PhD project focuses on met-ocean analysis, large-scale sea-state numerical analysis and wave 
load calculations on offshore wind substructures. A fully nonlinear potential flow framework will be used as a 
foundation for further developments and applications. More sophisticate breaking wave algorithms will be 
investigated, multiple marine environmental stressors will be included, and an automated multi-scale 
workflow based on modelling and large datasets will be developed and applied. For the interaction between 
wind and propagating waves, a non-hydrostatic wave model will employed.

The numerical models used for those activities reside within the open-source hydrodynamics framework 
REEF3D (www.reef3d.com). The model is developed in-house and the candidate will be a member of the 
research team. The new developments will be implemented in REEF3D and the numerical results will be 
validated extensively from previous experimental campaigns.