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► Advanced CFD Engineer - Ceramic Injection Moulding IGT, University of Leeds/Morvern Group Ltd.
   30 Apr, 2025 
Job Record #19663
TitleAdvanced CFD Engineer - Ceramic Injection Moulding IGT
CategoryJob in Industry
EmployerUniversity of Leeds/Morvern Group Ltd.
LocationUnited Kingdom
InternationalYes, international applications are welcome
Closure DateMonday, May 05, 2025
Description:
Are you looking to apply your expertise in Computational Fluid Dynamics (CFD) or 
AI-driven manufacturing in a dynamic industry setting?

The University of Leeds and Morvern Group Ltd. have an exciting opportunity for 
a high-calibre graduate to lead a Knowledge Transfer Partnership (KTP) project. 
This KTP will drive the transformation of ceramic core manufacturing for 
aerospace and industrial gas turbine components using advanced computational and 
AI methodologies.

This role will be based at the Morvern Group Ltd, Morvern House, Denby Hall 
Business Park, Ormonde Drive, Derby, DE5 8LE working with the School of 
Mechanical Engineering within the Faculty of Engineering and Physical Science at 
the University of Leeds.

This position offers a unique opportunity to work on an industry-led innovation 
project, applying leading academic research to real-world challenges. As a KTP 
Associate, you will be instrumental in embedding novel computational modelling 
solutions within Morvern Group Ltd. This role provides a fast-track career 
development opportunity, with access to training and mentoring from both 
academic and industry experts

Morvern Group is a fast growing and innovative company that specialises in high-
precision manufacturing for the aerospace and industrial gas turbine sectors. 
With a focus on cutting-edge technology, Morvern Group is committed to 
delivering high-quality, bespoke engineering solutions to its customers.

By working between the University of Leeds and Morvern Group, the successful 
candidate will gain a unique blend of academic insight and industrial 
application, developing technical and project management skills while 
contributing to transformative manufacturing innovation.

Visa Entitlement 

Please note that this post may be suitable for sponsorship under the Skilled 
Worker visa route but first-time applicants might need to qualify for salary 
concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global 
Talent visa. For more information please visit: https://www.gov.uk/global-talent

What are the benefits of being a KTP Associate?

Freedom to lead, develop and implement innovative solutions and cutting-edge 
research at the heart of energy related industry.
KTP Associates spend 10% of their time on Personal Development, making full use 
of a £4,000 PD budget.
Experience of cutting-edge consumer research techniques and project management.
Access to two residential training sessions aimed at developing project 
management skills.
Opportunity to gain both management and academic experience.
Potential to fast-track a career in industry.
Access to a wealth of academic resources.
Access to a Travel & Subsistence and Consumables budget.
Access to mentoring sessions through Innovate UK.
To explore the post further or for any queries you may have, please contact:

ACADEMIC SUPERVISOR

Dr Zinedine Khatir - Assistant Professor, Email: Z.Khatir@leeds.ac.uk

COMPANY SUPERVISOR

Mark Urch – Operations Director, Email: Mark.Urch@tarpeyharris.com 

UoL KTP OFFICE

James Hartford, Innovation Support Co-ordinator (University of Leeds), Email: 
J.Hartford@leeds.ac.uk

Contact Information:
Please mention the CFD Jobs Database, record #19663 when responding to this ad.
NameDr Zinedine Khatir
EmailZ.Khatir@leeds.ac.uk
Email ApplicationNo
URLhttps://www.jobs.ac.uk/job/DMS266/ktp-associate-advanced-computational-fluid-dynamics-for-ceramic-injection-moulding-turbine-aerofoils-casting-industry
Record Data:
Last Modified18:27:44, Wednesday, April 30, 2025

► Master thesis on flow batteries OpenFOAM model validation, Fondazione Bruno Kessler
   30 Apr, 2025 
Job Record #19662
TitleMaster thesis on flow batteries OpenFOAM model validation
CategoryInternship
EmployerFondazione Bruno Kessler
LocationItaly, Trentino - Alto Adige, Trento
InternationalYes, international applications are welcome
Closure Date* None *
Description:
The Centre on Sustainable Energy (SE) is looking for a young student interested 
in carrying out an internship/master thesis experience in the field of 
batteries. The ideal candidate is a proactive and dynamic person with good 
organizational skills, a strong interest in physics, modeling and computer 
science and, of course, motivated to have research experience in an 
international context. 
 
The internship/master thesis will focus on multiphysics modeling of redox flow 
batteries. Redox flow batteries (RFBs) are a promising technology for large 
scale energy storage. In RFBs power and energy are decoupled: the former depends 
mainly on the size of the stack while the latter on the size tanks containing 
the redox active species. This feature makes RFBs ideal for economical, large-
scale energy storage. However, cost reduction is in order for allowing a 
widespread diffusion of this technology. Cell and stack design is a core task 
required for the development and upscaling of flow battery systems but redox 
flow cells models can be very complex due to the multitude of physical phenomena 
that need to be considered: electric fields, fluid flow, mass and specie 
transport in different components, electrochemical reactions, heat transfer. All 
these phenomena need to be considered to identify cell-limiting mechanisms, 
forecasting cell performance and optimizing the design.
 
We are looking for a motivated intern to support the development and validation 
of a multiphysics solver for redox flow battery simulations. The role involves 
working with an in-house existing solver based on OpenFOAM, testing it on 
various cell geometries, and conducting detailed post-processing. The intern 
will compare simulation results with experimental and literature data to enhance 
model accuracy and performance. This is a great opportunity to gain hands-on 
experience in CFD and multiphysics modeling and contribute to the advancement of 
energy storage technologies.

 
The following phases of work are expected:
-> Training and study of OpenFOAM: FVM implementation, code structure, solver 
structure
-> Analysis of different mathematical models used for modeling the different 
cells components (electrolytes, electrodes, membrane) and physical phenomena
-> Study and use of an existing library for modeling electrochemical systems
-> Preparing numerical analysis of redox flow batteries 
-> Creating CAD models for the testing purposes
-> Post-processing of simulation outcomes
-> Model validation based on experimental measurements 
-> The student will be supported by FBK’s researchers and the researcher will 
also guide the initial phases of training and the development of the activities.
 
Required qualification:
-> Enrolled in Master degree in Energy, Chemical or Mathematical Engineering, 
Physics/Chemistry or similar
-> Strong fundamentals of theory of fluid dynamics, thermodynamics, mass and 
heat transfer
-> Fundamentals of numerical methods and their applications, in particular 
Finite Volume Method (FVM)
-> Knowledge of general CFD concepts and workflows: pre-processing, runtime-
processing, post-processing, meshing, turbulence modelling, etc.
-> Fluency in one or more CAD softwares like: SolidWorks, Salome, FreeCad, 
Blender
-> Basic knowledge of electrochemistry / batteries
-> Practical experience in at least one programming language. Ideally C, C++ or 
Python
Ability to work in an international team;
-> Excellent problem-solving skills and attentions to details
-> Good level of English (both spoken and written)

Application have to be sent through the official job page. Other form of 
applications will not be considered.
Contact Information:
Please mention the CFD Jobs Database, record #19662 when responding to this ad.
NameMaciej Marczak
Emailmmarczak@fbk.eu
Email ApplicationYes
Phone3286985159
URLhttps://jobs.fbk.eu/Annunci/Jobs_Internship_master_thesis_on_batteries_Development_and_validation_of_multiphysics_models_for_redox_flow_batteries_226177138.htm
Record Data:
Last Modified16:31:14, Wednesday, April 30, 2025

► Chiang Mai President Scholarship for Master's Study, Chiang Mai University
   29 Apr, 2025 
Job Record #19661
TitleChiang Mai President Scholarship for Master's Study
CategoryPhD Studentship
EmployerChiang Mai University
LocationThailand, Chiang Mai
InternationalYes, international applications are welcome
Closure Date* None *
Description:
Chiang Mai University (CMU) is offering 200 Graduate Level Full Scholarships per year, 
starting from the 1st Semester (June) of the 2019 academic year: 
an exciting opportunity to study at CMU for both Thai and foreign persons 
who possess a high potential and meet the requirements. 

Further info: https://drive.google.com/drive/folders/1St0enKmB3UZdJ44BqS5Ih0cBSC2YxN7H


Our Computational Turbulence and Aerodynamics Research Laboratory (CTAR) is 
looking for new master's students to join our lab.

Our research topics:
- Numerical Methods for fluid flows
- Multi-phase flow
- Geothermal Engergy
- Turbulence
- Acousitcs and vibration


Qualification: 
- Excellent skill in Mathematics, fundamental physics and programming ( Fortran, Python, MPI)
- Very driven personality and self-motivated.
 
The successful candidate will enjoy CMU's president's scholarship benefit and RA remuneration from our lab, which will match the scholarship amount.


More info:
CTAR Lab:   https://ctar-lab.org/ 
Mechanical Engineering Dept.:  https://me.eng.cmu.ac.th/
Alternative scholarship : https://grad-tara.oou.cmu.ac.th/?p=100&tab=5 

Contact Information:
Please mention the CFD Jobs Database, record #19661 when responding to this ad.
NameArpiruk Hokpunna
Emailarpiruk.hok@eng.cmu.ac.th
Email ApplicationYes
URLhttp://ctar-lab.org
Record Data:
Last Modified23:11:23, Tuesday, April 29, 2025

► Ph.D. in Multi-Moment Method, Chiang Mai University
   29 Apr, 2025 
Job Record #19660
TitlePh.D. in Multi-Moment Method
CategoryPhD Studentship
EmployerChiang Mai University
LocationThailand, Chiang Mai
InternationalYes, international applications are welcome
Closure DateFriday, May 30, 2025
Description:
Chiang Mai University (CMU) is offering 200 Graduate Level Full Scholarships per year, 
starting from the 1st Semester (June) of the 2019 academic year: 
an exciting opportunity to study at CMU for both Thai and foreign persons 
who possess a high potential and who meet the requirements. 

Further info: https://drive.google.com/drive/folders/1St0enKmB3UZdJ44BqS5Ih0cBSC2YxN7H



Our Computational Turbulence and Aerodynamics Research Laboratory (CTAR) 
is looking for a new Ph.D. student to develop a very high-order multi-moment method which is a hybrid of FVM and FDM. 

Qualification:
- A very good background in CFD code development
- Excellent skill in Linux and programming ( Fortran, Python, MPI)
- Very driven personality and self-motivated.
 
The successful candidate will enjoy the CMU's president scholarship benefit 
as well as RA renumeration from our lab matching the scholarship amount.


More info:
CTAR Lab:   https://ctar-lab.org/ 
Mechanical Engineering Dept.:  https://me.eng.cmu.ac.th/
Alternative scholarship : https://grad-tara.oou.cmu.ac.th/?p=100&tab=5 

Papers to start from:
1. 10.1016/j.jcp.2005.08.002 
2. https://doi.org/10.1016/j.jcp.2020.109790 
Contact Information:
Please mention the CFD Jobs Database, record #19660 when responding to this ad.
NameArpiruk Hokpunna
Emailarpiruk.hok@eng.cmu.ac.th
Email ApplicationYes
URLhttp://ctar-lab.org
Addressarpiruk.hok@eng.cmu.ac.th
Record Data:
Last Modified23:10:05, Tuesday, April 29, 2025

► CFD Engineer – OpenFOAM/Ansys Simulations , IIT Delhi
   28 Apr, 2025 
Job Record #19659
TitleCFD Engineer – OpenFOAM/Ansys Simulations
CategoryJob in Academia
EmployerIIT Delhi
LocationIndia, Delhi, New Delhi
InternationalNo, only national applications will be considered
Closure DateThursday, May 15, 2025
Description:
We are seeking a motivated CFD Engineer with expertise in OpenFOAM/Ansys to perform large-scale multiphase RANS/LES/DES simulations for advanced research in turbulent flow and drag reduction strategies. The selected candidate will work on simulating multiphase turbulent flows involving air injection through surface holes and study the effects of various control parameters on near-wall turbulence characteristics. Extensive RANS/LES/DES simulations have to be conducted using OpenFOAM/Ansys to investigate multiphase turbulent flows. Analyze the impact of control parameters such as: Reynolds number Streamwise location of air injection Weber number and Froude number Bubble diameter relative to the Kolmogorov length scale Bubble void fraction and distribution Slip length for Superhydrophobic Surfaces (SHS) and trapped air characteristics ________________________________________ Required Skills: • Strong expertise in OpenFOAM or similar open-source CFD solvers. • Solid understanding of RANS/LES/DES modeling, multiphase flows, and turbulence physics. • Proficiency in Eulerian–Lagrangian multiphase modeling. • Knowledge of bubble dynamics and drag reduction mechanisms. • Good programming/scripting skills (C++, Python, or Bash scripting preferred). • Experience in post-processing tools such as ParaView.
Contact Information:
Please mention the CFD Jobs Database, record #19659 when responding to this ad.
NameVamsi Chalamalla
Emailvchalama@am.iitd.ac.in
Email ApplicationYes
Record Data:
Last Modified20:36:32, Monday, April 28, 2025

► HYPER-UQ: Hypersonic Prediction & Risk Evaluation, Dept Engineering, University of Exeter
   28 Apr, 2025 
Job Record #19658
TitleHYPER-UQ: Hypersonic Prediction & Risk Evaluation
CategoryPhD Studentship
EmployerDept Engineering, University of Exeter
LocationUnited Kingdom, Devon, Exeter
InternationalYes, international applications are welcome
Closure DateThursday, May 15, 2025
Description:
Project Description

Scramjet engines are key enablers for hypersonic flight, promising efficient 
propulsion at speeds of Mach 5 and beyond. Yet the risk of unstart—where 
internal shock structures propagate upstream, choking the flow—threatens 
performance and stability. Prior studies have shown that unstart can be highly 
sensitive to small variations in pressure ratio and inlet boundary-layer 
profiles. Despite decades of investigation, many predictive tools lack robust 
ways to incorporate uncertainties in boundary conditions, turbulence modelling, 
and manufacturing variability.

Problem Statement

Conventional CFD workflows assume deterministic inputs, often using “best guess” 
values. These methods miss the probabilistic nature of input parameters, thereby 
underestimating unstart risks and limiting confidence in scramjet operability 
margins. Recent efforts integrated dimensionally adaptive sparse-grid techniques 
with RANS-based CFD, demonstrating that different probability distributions of 
uncertain parameters can drastically alter the predicted unstart risk. However, 
the published framework remains at a proof-of-concept stage, and broader 
application to realistic flight conditions requires further refinement.


Methods and Approaches

We will employ the open source JAX-Fluids solver to simulate flow within a 
representative isolator. This solver will be coupled with an uncertainty 
quantification toolkit based on adaptive sparse-grid sampling. Parameter 
distributions (e.g., pressure ratio, boundary-layer shape factor, turbulence 
modeling coefficients) will be derived from literature, experimental 
measurements, or expert elicitation. Each simulation’s outcomes—shock location, 
Mach-stem height, separation zones—will feed back into the UQ module to refine 
sampling in regions of high sensitivity.

Full advert and application: 

https://www.exeter.ac.uk/study/funding/award/?id=5526
Contact Information:
Please mention the CFD Jobs Database, record #19658 when responding to this ad.
NameDr Xu Chu
Emailx.chu@exeter.ac.uk
Email ApplicationYes
URLhttps://www.exeter.ac.uk/study/funding/award/?id=5526
Record Data:
Last Modified15:59:23, Monday, April 28, 2025

► Machine Learning for CFD of Point Particles (self-funded), Newcastle University
   26 Apr, 2025 
Job Record #19656
TitleMachine Learning for CFD of Point Particles (self-funded)
CategoryJob in Academia
EmployerNewcastle University
LocationUnited Kingdom, Newcastle upon Tyne
InternationalYes, international applications are welcome
Closure DateThursday, April 30, 2026
Description:
PhD Project: Machine Learning Investigation of Unresolved Point Particles in Turbulent Flows

PhD Project: Machine Learning Investigation of Unresolved Point Particles in Turbulent Flows (self-funded applicants)

The accurate representation of unresolved point particles remains a fundamental challenge in multiphase flow simulations. Traditional models often rely on empirical assumptions that limit predictive capabilities, especially in complex or turbulent environments. This PhD project aims to revolutionize particle-fluid interaction modeling by leveraging advanced machine learning techniques in CFD. By analyzing high-fidelity simulation data and experimental datasets, the project will develop data-driven models that can accurately predict particle forces, trajectories, and interaction dynamics within the fluid without relying solely on simplified closures.

The candidate will explore a range of machine learning approaches, including neural networks, ensemble methods, and physics-informed models, to capture hidden patterns in unresolved particle behavior. Emphasis will be placed on ensuring physical consistency, generalization across different flow regimes, and interpretability of the resulting models. Applications include environmental flows, industrial particulate processes, and biomedical systems where particulate transport is critical.

This project is based at Newcastle University, a prestigious institution ranked 129th in the world according to the QS World University Ranking. Newcastle offers access to excellent research facilities, a vibrant academic community, and a supportive environment for doctoral researchers.

Applicant Requirements

  • Strong motivation for interdisciplinary research.
  • Excellent analytical and problem-solving skills.
  • Background in computational fluid dynamics (CFD) or related fields.
  • Preferred: Experience with machine learning (ML) techniques.
  • Preferred: Familiarity with programming languages such as Python, MATLAB, or C++.
  • Good communication skills and ability to work both independently and as part of a team.
Note: As this project is not externally funded, we welcome applications from candidates who are able to provide their own funding or secure a scholarship.
Contact Information:
Please mention the CFD Jobs Database, record #19656 when responding to this ad.
NameDr. Amir Fard
Emailamir.fard@newcastle.ac.uk
Email ApplicationYes
URLhttps://www.ncl.ac.uk/engineering/staff/profile/amirfard.html
Record Data:
Last Modified22:04:34, Saturday, April 26, 2025

► Machine Learning for CFD of Point Particles (self-funded), Newcastle University
   26 Apr, 2025 
Job Record #19657
TitleMachine Learning for CFD of Point Particles (self-funded)
CategoryPhD Studentship
EmployerNewcastle University
LocationUnited Kingdom, Newcastle upon Tyne
InternationalYes, international applications are welcome
Closure DateSunday, May 31, 2026
Description:
PhD Project: Machine Learning Investigation of Unresolved Point Particles in Turbulent Flows

PhD Project: Machine Learning Investigation of Unresolved Point Particles in Turbulent Flows (self-funded applicants)

The accurate representation of unresolved point particles remains a fundamental challenge in multiphase flow simulations. Traditional models often rely on empirical assumptions that limit predictive capabilities, especially in complex or turbulent environments. This PhD project aims to revolutionize particle-fluid interaction modeling by leveraging advanced machine learning techniques in CFD. By analyzing high-fidelity simulation data and experimental datasets, the project will develop data-driven models that can accurately predict particle forces, trajectories, and interaction dynamics within the fluid without relying solely on simplified closures.

The candidate will explore a range of machine learning approaches, including neural networks, ensemble methods, and physics-informed models, to capture hidden patterns in unresolved particle behavior. Emphasis will be placed on ensuring physical consistency, generalization across different flow regimes, and interpretability of the resulting models. Applications include environmental flows, industrial particulate processes, and biomedical systems where particulate transport is critical.

This project is based at Newcastle University, a prestigious institution ranked 129th in the world according to the QS World University Ranking. Newcastle offers access to excellent research facilities, a vibrant academic community, and a supportive environment for doctoral researchers.

Applicant Requirements

  • Strong motivation for interdisciplinary research.
  • Excellent analytical and problem-solving skills.
  • Background in computational fluid dynamics (CFD) or related fields.
  • Preferred: Experience with machine learning (ML) techniques.
  • Preferred: Familiarity with programming languages such as Python, MATLAB, or C++.
  • Good communication skills and ability to work both independently and as part of a team.
Note: As this project is not externally funded, we welcome applications from candidates who are able to provide their own funding or secure a scholarship.
Contact Information:
Please mention the CFD Jobs Database, record #19657 when responding to this ad.
NameDr. Amir Fard
Emailamir.fard@newcastle.ac.uk
Email ApplicationYes
URLhttps://www.ncl.ac.uk/engineering/staff/profile/amirfard.html
Record Data:
Last Modified22:03:31, Saturday, April 26, 2025

► CFD Intern, Simerics, Inc.
   24 Apr, 2025 
Job Record #19375
TitleCFD Intern
CategoryJob in Industry
EmployerSimerics, Inc.
LocationUnited States, Michigan, Novi
InternationalNo, only national applications will be considered
Closure Date* None *
Description:
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.
Contact Information:
Please mention the CFD Jobs Database, record #19375 when responding to this ad.
NameChiranth Srinivasan
Emailcs@simerics.com
Email ApplicationYes
URLhttp://www.simerics.com
Record Data:
Last Modified19:57:13, Thursday, April 24, 2025

► Project Engineer, Simerics, Inc.
   24 Apr, 2025 
Job Record #19107
TitleProject Engineer
CategoryJob in Industry
EmployerSimerics, Inc.
LocationUnited States, Michigan, Novi
InternationalNo, only national applications will be considered
Closure Date* None *
Description:
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.

Contact Information:
Please mention the CFD Jobs Database, record #19107 when responding to this ad.
NameCHIRANTH SRINIVSAN
Emailcs@simerics.com
Email ApplicationYes
Phone4053089420
URLhttp://www.simerics.com
Record Data:
Last Modified19:56:36, Thursday, April 24, 2025

indeed top

► Design Engineer - Precision Hydraulic Cylinders, inc - Wilmington, NC
    6 Feb, 2023
Design, develop, and maintain hydraulic cylinders utilizing software tools and engineering methods. Generate and maintain, component and general arrangement… $75,000 a year
From Indeed - Mon, 06 Feb 2023 20:34:21 GMT - View all Wilmington, NC jobs
► Design Engineer- SME - Summa - Waller, TX
    6 Feb, 2023
Your skills and prior experience matter, but that’s only a portion of what we consider when matching incoming talent with our customers’ needs and environments. $120,000 - $155,000 a year
From Summa - Mon, 06 Feb 2023 20:23:15 GMT - View all Waller, TX jobs
► Design Engineer- Team Lead - Summa - Waller, TX
    6 Feb, 2023
The Engineering Team Lead position plans, organizes and leads high efficiency HVAC (INVERTER, Variable refrigerant Flow) new product developments from technical… $120,000 - $155,000 a year
From Summa - Mon, 06 Feb 2023 20:23:15 GMT - View all Waller, TX jobs
► CAE Analyst- Engineering - BorgWarner - Arden, NC
    6 Feb, 2023
Providing variations of flexible work. Times. Core hours may be required. Location with scheduled day(s) working from a non-office location.
From BorgWarner - Mon, 06 Feb 2023 19:12:59 GMT - View all Arden, NC jobs
► Product Engineer - Water Heater Development - AO Smith - Johnson City, TN
    6 Feb, 2023
The Product Engineer is responsible for assisting in completion and monitoring all aspects of basic project assignments and using the assigned project…
From AO Smith - Mon, 06 Feb 2023 17:33:42 GMT - View all Johnson City, TN jobs
► CFD Engineer - Cybertec Inc - Greenville, SC
    6 Feb, 2023
Looking someone who can support in EST zone. 5+ years of relevant experience, including academic experience. Experienced/Advanced user of Ansys Fluent (8 to 10… $50 - $55 an hour
From Indeed - Mon, 06 Feb 2023 15:59:24 GMT - View all Greenville, SC jobs
► Principal Mechanical/FEA Design Engineer - Leonardo DRS - Melbourne, FL
    6 Feb, 2023
The Leonardo DRS Land Electronics business provides C4I Network computing and integrated situational awareness, as well as state-of-the-art embedded diagnostics…
From Leonardo DRS - Mon, 06 Feb 2023 15:43:45 GMT - View all Melbourne, FL jobs
► Thermal System Design Engineer - GE Aviation - Evendale, OH
    6 Feb, 2023
Participate throughout the design process to analyze and influence the rotor, stator, and/or component cooling designs from the design phase through…
From General Electric - Mon, 06 Feb 2023 15:27:49 GMT - View all Evendale, OH jobs
► Aerospace Systems Analysis Engineer - CY9 - Jupiter, FL
    6 Feb, 2023
We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.
From Indeed - Mon, 06 Feb 2023 15:08:13 GMT - View all Jupiter, FL jobs
► Director of Engineering - Semiconductor Equipment - Fortune USA Inc - Santa Clara, CA
    6 Feb, 2023
Director of Engineering - Semiconductor Equipment Components*. We are seeking Director of R&D Engineering - Semiconductor Equipment, to join our team, to be… $220,000 - $320,000 a year
From Indeed - Mon, 06 Feb 2023 01:07:24 GMT - View all Santa Clara, CA jobs

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► Senior Engineer, Controlled Environment Agriculture HVAC
  26 Apr, 2021
Upward Farms - Strong, self-determined work ethic. Excellent listening, clear and concise oral and written communication. Question-driven, curious, open minded. ...
► Mechanical Engineer
  20 Apr, 2021
Safariland, LLC - process reqmts, using SolidWorks, CFD, & others. Reqmts are: Bach's deg (or foreign educational equiv) in Mechanical Engg, Aeronautical &...
► Intern - Predictive Science Academic Alliance Program III (PSAAP III) - R&D Fellowship Graduate Year-Round
  16 Mar, 2021
Sandia National Laboratories - quantification, multiscale methods, visualization, continuum mechanics, atomistic simulation techniques and related disciplines. Students are also...
► Mechanical Engineering Professor - Tenured / Tenure Track (Open Rank), Division of Engineering
    5 Mar, 2021
New York University Abu Dhabi - invites applications for a tenured/tenure-track faculty position in its Mechanical Engineering program in the broad area of computational fluid dy...

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► Senior FEA/ *CFD* Subject Matter Expert - Applied Research Associates, Inc. (United States)
    
…(ARA) is seeking a **FEA/ CFD Subject Matter Expert** to be an expert with Computational Fluid Dynamics ( CFD ) codes such as ANSYS (R), LS-DYNA(R),
► Fluids / *CFD* Analyst - Experienced Professional - Lockheed Martin (United States)
    
…with: thermophysics, heat transfer, aerodynamics, gas dynamics , propulsion, computational fluid dynamics , and computer programming\. *Excellent
► FEA/ *CFD* Subject Matter Expert - Applied Research Associates, Inc. (United States)
    
…(ARA) is seeking a **FEA/ CFD Subject Matter Expert** to be an expert with Computational Fluid Dynamics ( CFD ) codes such as ANSYS (R), LS-DYNA(R),
► Research Engineer - *CFD* /Methods - Aerospace Research - GE Aerospace (United States)
    
…experience in turbomachinery design and analysis + Demonstrated proficiency in meshing & using Computational Fluid Dynamics ( CFD ), hi-fidelity LES based
► *CFD* Engineer III - ITT (United States)
    
…on turbomachinery, rotodynamic pumps and hydro turbines preferred + Strong understanding of fluid mechanics and CFD principles + Experience in commercial CFD
► University Graduate - *Computational* Physicist - Plasma/ *CFD* Modeling, AI/ML (Master's Degree) - Applied Materials (United States)
    
…Materials' is looking to recruit an outstanding engineer to support its computational modeling group. In this role, you will develop state-of-the-art models that
► Manager 2 Aerodynamics & Vehicle Performance - Northrop Grumman (United States)
    
…approximately ten engineers who are responsible for meeting aircraft Aerodynamics Performance and Computational Fluid Dynamics ( CFD ) design and analysis
► Associate Divisional Chief Legal Officer *CFD* - AdventHealth (United States)
    
…. Board certified in health law or board eligible. This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws,
► VP Strategy & Growth *CFD* Northwest Market - AdventHealth (United States)
    
…+ Leverage data and business intelligence to analyze market and internal dynamics ; evaluate trends to anticipatenew issues and opportunities for the organization. +
► Senior Computation *Fluid* *Dynamics* ( *CFD* ) Scientist - Applied Research Associates, Inc. (United States)
    
…at www.ara.com . Please apply at www.careers.ara.com for the **Senior Computational Fluid Dynamics Scientist** position. **Qualifications** **Behaviors**

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