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► Industry co-funded EPSRC PhD in Biomedical Engineering, Department of Biomedical Engineering, University of Strathclyde
   14 Jun, 2024 
Job Record #19231
TitleIndustry co-funded EPSRC PhD in Biomedical Engineering
CategoryPhD Studentship
EmployerDepartment of Biomedical Engineering, University of Strathclyde
LocationUnited Kingdom, Glasgow
InternationalNo, only national applications will be considered
Closure Date* None *
Industry co-funded EPSRC PhD Studentship in Biomedical Engineering(Biofluid Mechanics)

Title: A computational fluid dynamics (CFD) investigation of endovascular aortic arch stent graft designs in 
relation to post-operative thrombus formation 

Project summary
An exciting opportunity for a fully-funded 42-month PhD studentship co-funded by a world-leading medical 
devices company and EPSRC is available at the Department of Biomedical Engineering at the University of 
Strathclyde. The successful candidate will work closely with a multidisciplinary team of senior academics and 
industry collaborators to investigate endovascular aortic arch stent graft designs in relation to post-operative 
in-graft thrombus formation in the repaired aorta.

This project will study the haemodynamics of aortae prior to and following endovascular repair and the 
conditions that may lead to post-operative thrombus formation. The work will include optimisation of vascular 
prosthesis designs to enable the best-possible flow characteristics within the grafts, including post-surgical 
vascular perfusion results. This investigation could further be used to understand patient-specific anatomical 
geometry and graft design effects and aid in patient selection/risk-benefit analysis for more effective 
personalised treatment.

The project is highly multidisciplinary within the broad fields of Biomedical Engineering, Fluid Mechanics, and 
Medical Devices. The student will join a strong and experienced academic team which leads an EPSRC 
Transformative Healthcare Technologies project on Digital twin assisted surgery. 

This is a rare PhD opportunity co-funded by EPSRC and a leading medical devices company and will provide 
the candidate with both academic and industrial experience. The successful candidate should start on 1st 
October 2024. For further project information, please contact Dr. Asimina Kazakidi 

Academic Requirements: Applicants should hold a high-grade undergraduate degree and/or a Master’s 
degree (or expect to achieve) in Engineering, Physics, Biomedical Engineering, Applied Mathematics, or a 
related field. Candidates should demonstrate enthusiasm, motivation for learning, commitment, and excellent 
interpersonal and communication skills.

Funding Information
The studentship covers the full cost of Home tuition fees plus a tax-free stipend, in line with standard stipend 
levels, for 42 months. Candidates with “international” fees status can be considered but they are required to 
cover the difference between the Home and International fees for the whole duration of the programme.

About the Department and the University
The Department of Biomedical Engineering at the University of Strathclyde is internationally recognised for its 
excellence in education and research at the interface between engineering and the life sciences, with 
particular emphasis on clinically related research. It is committed to producing high-quality research output, 
training and knowledge transfer and much of its work is clinically driven and conducted in collaboration with 
clinical or industrial partners.

The Department was ranked 1st in the UK, at the 2018 Complete University Guide, for Medical Technology. It 
is highly research-intensive and has strong industry collaborations.

Founded in 1962, the University of Strathclyde is home to one of the oldest biomedical engineering 
departments in the world. It even has the earliest building dedicated to teaching and research in this field, 
opened in 1972 by the Wolfson Foundation. 

Students are part of a thriving community of researchers dedicated to advancing the interface between 
engineering, science and medicine. The University of Strathclyde is led by its vision for the ‘place of useful 
learning’ and aims to build upon its leading technology aspiration with an important student, societal and 
global impact.

Review of applications will begin immediately and continue until the position is filled. Qualified candidates are 
advised to submit their applications early for consideration.
Contact Information:
Please mention the CFD Jobs Database, record #19231 when responding to this ad.
NameDr A Kazakidi
Email ApplicationNo
Record Data:
Last Modified18:19:55, Friday, June 14, 2024

► PhD Position Computational Fluid Dynamics of Microplastics , Delft University of Technology
   14 Jun, 2024 
Job Record #19230
TitlePhD Position Computational Fluid Dynamics of Microplastics
CategoryPhD Studentship
EmployerDelft University of Technology
LocationNetherlands, Delft
InternationalYes, international applications are welcome
Closure DateSunday, July 14, 2024
Fluid dynamics of microplastics: fiber-flow interaction simulations to reduce 
plastic microfiber pollutant release 

Job description

Increasing scientific evidence and public awareness of risks from micro-plastics 
mean that new technologies are urgently needed to limit micro-plastics release 
in the aquatic environment. A large contribution to micro-plastics pollution 
comes from microfibers released from clothes in our washing machines, which 
cannot be completely filtered with current methods. We are working with an 
industrial partner to find a solution to the problem.

In this project, the PhD researcher will develop high-resolution simulations to 
investigate numerically the interaction of model fibers with the complex 
geometry of mesh-based filters.  The simulations will initially focus on single 
fibers interacting with curved solid walls. The simulations will be carried out 
with an immersed boundary method, using an appropriate "slender body" 
approximation for the fibers. Later the PhD student will investigate many 
fibers, assessing the effects of spontaneous fiber curvature, flexibility and 
multi-fiber interactions. Part of the project is also the development of 
analytical one-dimensional filtration models that take into account poly-
dispersity in fiber length and stiffness. The research group in which the PhD 
will work has developed codes for flexible particles (Salussolia, G., et al. 
"Simulation of interacting elastic sheets in shear flow: Insights into buckling, 
sliding, and reassembly of graphene nanosheets in sheared liquids." Physics of 
Fluids 34.5 (2022) and has almost 20 years of experience in the simulation of 
multiphase systems.

Developing the simulations will require a good understanding of fluid dynamics 
and numerical discretisation methods, so any prior research experience in these 
areas will be valuable. Furthermore, the PhD student will interact with other 
PhD students (also team members in the project) who will be carrying out 
experiments for validation, as well as with the industrial partner of the 
project. Therefore, the ability to communicate effectively and interact in a 
workgroup is highly valued. Most important is the student's motivation to use 
fluid dynamics knowledge to contribute solving an important societal challenge.

The preferred start date is September 2024.

The work will be carried out in the Process & Energy Department of TU Delft, 
within the research group of Dr. Lorenzo Botto. For information about Botto's 
research group and his scientific output, see For information about the 
Process & Energy Department, see The project is done in 
collaboration with Burak Eral, Process & Energy Department 
( and Valeria Garbin, Chemical 
Engineering Department (
garbin), who will supervise the experimental parts of the project.


MSc degree in physics, engineering, mathematics or related areas. The MSc degree 
should have been awarded by the start of the PhD project.

A solid background in fluid dynamics, as evidenced by academic courses as well 
as research reports and papers (even unpublished).

Some experience with coding in a modern programming language and an interest in 
using computers for scientific discovery. Having attended courses in numerical 
methods is a plus.

Good scientific communication and writing skills.

The applicant should be open to collaboration, as the project requires 
coordination and synergy with other team members and external partners.

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 

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 € 2770 per month in the first year to € 3539 
in the fourth year. 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 

For international applicants, TU Delft has the Coming to Delft Service. This 
service provides information for new international employees to help you prepare 
the relocation and to settle in the Netherlands. The Coming to Delft Service 
offers a Dual Career Programme for partners and they organise events to expand 
your (social) network.

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 

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.

Additional information

For more information about this vacancy, please contact Lorenzo Botto at

Application procedure

Are you interested in this vacancy? Please apply no later than 14 July 2024 via 
the TU Delft job vacancy website. The vacancy can be reached directly via the 

In the application, please updload:

- A motivation letter specific to this vacancy in which you explain your 
interest in the project and your fit for our research group.

- Your Curriculum Vitae including names and contact information of 2 references.

Please note:

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or 
post. But you can contact Lorenzo Botto at for informal 
enquires about the post. 

Please do not contact us for unsolicited services.
Contact Information:
Please mention the CFD Jobs Database, record #19230 when responding to this ad.
NameLorenzo Botto
Email ApplicationNo
Record Data:
Last Modified12:09:49, Friday, June 14, 2024

► Doctoral candidate in Aerospace Engineering, Department of Aerospace Engineering at Iowa State University
   14 Jun, 2024 
Job Record #19227
TitleDoctoral candidate in Aerospace Engineering
CategoryPhD Studentship
EmployerDepartment of Aerospace Engineering at Iowa State University
LocationUnited States, Iowa, Ames
InternationalYes, international applications are welcome
Closure DateThursday, August 15, 2024

The Iowa State University’s Computational Aerodynamics and Aeroacoustics Laboratory (ISU CAAL) is seeking a highly motivated PhD student to join a research project investigating aerodynamically generated ultrasound.

Project Description:

Using a combined computational and experimental approach, this exciting project will explore aerodynamic whistles to generate ultrasound for bat deterrence in wind farms. The successful candidate will develop and utilize advanced computational aeroacoustics (CAA) simulations to predict noise generation while designing and conducting wind tunnel experiments for validation.

Desired Qualifications:

  • A strong background in Aerospace/Mechanical Engineering or a related field.
  • An MS (or equivalent) focusing on aeroacoustics or computational fluid dynamics (CFD). Exceptional candidates straight after a B.S. degree will also be considered.
  • Proven experience in performing CAA simulations using established software packages (e.g., OpenFOAM,  StarCCM+).
  • Proficiency in scripting languages such as Python for data analysis and post-processing.
  • Experience with experimental techniques in aeroacoustics, including anechoic chamber and wind tunnel testing and data acquisition.
  • Familiarity with CAD software and experience in rapid prototyping of test models.
  • Excellent communication, writing, and presentation skills.
  • A strong work ethic,  self-motivation, and the ability to work independently and collaborate with people nationally and internationally.

The Offer:

  • A fully funded PhD studentship with a competitive stipend and tuition fees covered.
  • The opportunity to work on a cutting-edge research project with the potential for high-impact publications.
  • Access to state-of- the-art computational resources and advanced wind tunnel facilities.
  • Training and development opportunities to enhance your research skills and career prospects.

To Apply:

Please submit a detailed CV with list of references and transcripts from your previous degrees.

Closing Date:  Aug 15, 2024

Applications should be submitted to

We are committed to diversity and inclusion and welcome applications from all qualified candidates.

Iowa State University is an equal opportunity employer.


Contact Information:
Please mention the CFD Jobs Database, record #19227 when responding to this ad.
NameAnupam Sharma
Email ApplicationYes
Address2235 Howe Hall, Ames, Iowa, 50011
Record Data:
Last Modified03:00:17, Friday, June 14, 2024

► Junior Research Fellow (On Contract), Department of Applied Mechanics, MNNIT Allahabad
   13 Jun, 2024 
Job Record #19226
TitleJunior Research Fellow (On Contract)
CategoryJob in Academia
EmployerDepartment of Applied Mechanics, MNNIT Allahabad
LocationIndia, Uttar Pradesh, Prayagraj
InternationalNo, only national applications will be considered
Closure DateThursday, July 04, 2024
Description and Objectives of the Project: The flow separation may be confined 
by a small separation bubble in the case of air intakes. Because of this bubble, 
the separation zone will expand and block the flow path, resulting in an 
unplanned intake. It is therefore needed to study the separation zone in SWBLI 
with unsteadiness and predict the size of the separation bubble. In this 
project, the determination of the separation length of the SWBLI over a wide 
range of Mach numbers, such as supersonic and hypersonic regions, while 
considering the unsteadiness of the SWBLI, is attempted numerically. From the 
study of the effect of flow parameters on separation, a complete correlation to 
determine the separation length with flow parameters such as Reynolds number, 
Mach number, incident shock strength, etc. will be given at different Mach 
number regimes. It can predict the size of the separation bubble, which will be 
useful to the supersonic and hypersonic aircraft engineer when designing the air 

The position is purely temporary and will be governed by the funding agency 
rules & service conditions of the Office of the Dean (Research & Consultancy), 
MNNIT Allahabad.

Number of Position: 01 (one)

Essential Qualifications: B.Tech. in Mechanical Engineering or Aerospace 
Engineering or an M.Tech. along with a valid GATE score / CSIR-UGC NET or any 
national level examinations conducted by central government departments and
their agencies and institutions such as DST, DBT, DAE, DOS, DRDO, MHRD, ICAR, 
ICMR, IIT, IISc, IISER, etc. (OM No. DST/PCPM/Z-06/2022 dated 26.06.2023 for 

Desirable Qualifications: M.Tech in Applied Mechanics, Fluids Engineering, 
Thermal Engineering, Aerospace Engineering or any relevant discipline suitable 
to the work proposed in the project with 65% marks or 6.5 CGPA in M.Tech. One
year of research experience in a related area is preferable. Working
knowledge on Computational Fluid Dynamics related computer programming. 
Preference will be given to the candidate having experience in the Gas Dynamics 
and CFD solver writing.

Fellowship: Rs. 37,000 per month + HRA (16%)

Other Benefits : Accommodation may be available as per the availability and the 
Institute norms. Candidate selected for the JRF may register for Ph.D. if 
eligibility conditions as set by institute are met by him/her. Facility of 
yearly leave, carryover leave, medical benefits etc. may be available as per 
applicable rules of the project staff.

Age Limit : As per DST-SERB guidelines (Age limit is relaxable as per DST-
SERB/GOI guidelines).

Tenure of Appointment: Appointment will be made on contract basis for a period 
of one year initially, which may be extended depending on the performance 
evaluation on yearly basis till the end of project.

Contact Information:
Please mention the CFD Jobs Database, record #19226 when responding to this ad.
NameDr. Abhishek Kundu
Email ApplicationYes
AddressDr. Abhishek Kundu
Department of Applied Mechanics,
Motilal Nehru National Institute of Technology Allahabad,
Prayagraj- 211004,
Uttar Pradesh, India
Record Data:
Last Modified17:57:26, Thursday, June 13, 2024

► Technical Specialist in CFD & Data Science, The University of Manchester
   12 Jun, 2024 
Job Record #19225
TitleTechnical Specialist in CFD & Data Science
CategoryJob in Academia
EmployerThe University of Manchester
LocationUnited Kingdom, Manchester
InternationalYes, international applications are welcome
Closure DateFriday, July 19, 2024
📣 Job Opportunity: Technical Specialist in Computational Fluid Dynamics & Data Science

Closing date: 19th July, 2024

Still one week left to apply for the position of Technical Specialist in CFD and Data Science, to work on the 
development of a data integration platform which fuses experimental and computational data, in the context 
of external aerodynamics. The position is for 42 months in the first instance.

This an exceptional opportunity for a proactive and enthusiastic person to join our dynamic team, supporting 
an UKRI grant for the National Wind Tunnel Facility. A Technical Specialist is essentially a Research Software 
Engineer with a specific skillset and focus.

👉 Responsibilities:
* Test and extend a GPU-based CFD solver for fast aerodynamic analysis.
* Develop an efficient process to pass time-dependent 3D images into a CFD simulation pipeline.
* Apply data fusion techniques to combine CFD simulations with experimental data (including PIV, pressure 
sensors and surface flow visualisation).
* Develop methods enabling in-situ visualisation of the combined data.

If you are passionate about pushing the bounds of engineering, integrating technology with applied 
aerodynamics, and seek an exciting opportunity to be a part of something great, join us now! 🚀
Contact Information:
Please mention the CFD Jobs Database, record #19225 when responding to this ad.
NameAlistair Revell
Email ApplicationNo
Record Data:
Last Modified20:21:25, Wednesday, June 12, 2024

► PhD student in Multiphase Flows, University of Magdeburg
   12 Jun, 2024 
Job Record #19224
TitlePhD student in Multiphase Flows
CategoryPhD Studentship
EmployerUniversity of Magdeburg
LocationGermany, Magdeburg
InternationalYes, international applications are welcome
Closure DateSunday, July 21, 2024
At the Chair of Mechanical Process Engineering ( we are a group
of enthusiastic researchers with intensive research activities in the numerical
modelling of multiphase flows. As part of our research on particle-laden flows,
we study the complex behaviour of dispersed particles in incompressible and
compressible turbulent flows, particle-turbulence interactions, the influence
of particle shape as well as applications featuring particle-laden flows.

The objective of the advertised position is to develop novel computational
models to describe particle-laden flows where the particles have complex shapes.
This will include performing detailed numerical studies with our in-house CFD
code using direct numerical simulation (DNS) of flows with particles, as well as
the development of a new model to describe the inter-particle and particle-flow
interactions. The new model will then be implemented in our in-house CFD code to
simulate the transport of particles in flows at larger scales. 

With this position, you do not only have the opportunity to obtain a PhD, but
also build a professional network in the scientific community and relevant

Job description:

- Design, execution, and analysis of analytical and numerical studies of the behaviour of particles in fluid flows
- Derivation, implementation, and analysis of models to predict the behaviour of many particles in flows
- Participation in the development of our in-house simulation tools in C and with MPI


- MSc degree (or equivalent) in mechanical engineering, process engineering, aeronautical engineering, applied mathematics, physics or a related discipline
- Track record in working with physical models and numerical methods
- Experience with coding (e.g. C, C++, Fortran or Python) is highly desirable
- Experience in computational fluid dynamics, especially of direct numerical simulations or discrete element methods, is desirable
- Fluent command of written and spoken English is required

Please send your complete application (motivation letter, curriculum vitae, graduation certificates, references) by
July 21, 2024 using the online application portal:
Contact Information:
Please mention the CFD Jobs Database, record #19224 when responding to this ad.
NameBerend van Wachem
Email ApplicationNo
Record Data:
Last Modified13:59:21, Wednesday, June 12, 2024

► Permanent researcher in combustion and simulation for the energ, CERFACS
   11 Jun, 2024 
Job Record #19223
TitlePermanent researcher in combustion and simulation for the energ
CategoryJob in Industry
LocationFrance, Occitanie, TOULOUSE
InternationalYes, international applications are welcome
Closure DateWednesday, July 31, 2024
CDI – Permanent researcher in combustion and simulation for the energy 
transition and its impact on the environment

Required Education : PhD with at least 2 to 3 years' experience or Post-
Doctorate (HdR desirable but not a prerequisite)
Start date : 1 October 2024
Mission duration : CDI
Deadline for applications : 31 July 2024
Salary : from 47 K€/year (gross) depending on qualifications and experience
Location: 42 Avenue Gaspard Coriolis – 31057 Toulouse
Contact person: GICQUEL Laurent
Référence : LG-E&S-SRes-2024


Cerfacs is a private research, delevopment, transfer and training center for 
modeling, simulation and high-performance computing. Cerfacs designs, develops 
and proposes innovation software methods and solutions to meet the needs of its 
partners in the aeronautics, space, climate, environment and energy sectors. 
Cerfacs trains students, researchers and engineers in simulation and high-
performance computing.
Cerfacs works closely with its seven partners: Airbus, Cnes, EDF, Météo France, 
Onera, Safran et Total.

The Energy & Safety team, formerly known as the CFD-Combustion team, focuses on 
cross-disciplinary activities aimed at developing, optimizing and deploying 
scientific codes dedicated to advanced combustion simulations of industrial 
relevance. The team focuses particularly on flows encountered for aircraft, 
rockets, helicopters, car engines, turbines and more. As a result of such 
efforts, essential tools emerge for a wide range of applications, with the 
leitmotiv: let’s calculate systems before we build them. More specifically, team 
members develop models and tools covering chemical reduction, turbulence, 
combustion, two-phase systems, combustion instabilities, etc., to meet both 
academic and industrial challenges. Thanks to its position, the team 
collaborates with numerous scientific groups, design offices of Cerfacs 
associates, and other Cerfacs teams.

As part of its activities with Cerfacs and external partners, the E&S team is 
called upon to respond to various requests. Following a reorganization and the 
rise of research themes around the energy transition, several short- and medium-
term issues need to be covered by scientific calculation in the coming years. 
Indeed, a large number of industrial sectors require a clear vision of these 
issues and associated challenges, as well as the implementation of effective 
solutions with an expert view of the environmental impact of these choices. In 
order to meet these needs, either scientific in the case of combustion or 
simulations, or in terms of training and expertise, or even to train tomorrow’s 
decision-makers and engineers, the team is seeking to strengthen its position 
and is looking for a researcher in these fields.

You will be responsible for the monitoring and scientific development of models 
dedicated to the turbulent combustion of new fuels (in liaison with the team and 
the CFD code AVBP) for their future exploitation.
You would like to obtain a HdR (if you don't already have one)..
You will contribute to and potentially represent Cerfacs in the area of SAF and 
alternative fuels, and pollutant emissions: exchanges with associates, relations 
with players in the worlds of research and industry, and HPC (GENCI, EuroHPC, 
computing centers), participation in and organization of national and 
international projects, supervision of interns, PhD students and post-docs, in 
collaboration with members of E&S and other Cerfacs teams.
You will manage the implementation of Cerfacs codes and models, making them 
available to target users in the short term.
You will contribute to the follow-up and operational support as well as the 
training of Cerfacs staff around AVBP and the team’s research themes.

You have a PhD and at least 2 to 3 years’ research experience (HdR is a plus) in 
advanced turbulent combustion modeling, scientific computing / HPC, chemistry 
You are interested in the energy transition and industry’s use of new fuels such 
as SAF, hydrogen, ammonia…. You are also interested in their impact on the 
You have professional experience of supervising young researchers and have 
worked in a team context on large-scale scientific projects in collaboration 
with various entities (industrial and academic).
You have professional experience in drafting and monitoring projects.
You are able to make proposals in your research activities.
You are familiar with software engineering and programming tools related to HPC: 
Fortran, MPI, Git/Gitlab, debuggers, profilers.
You are able to present collective results at international conferences.

Broad access to technology, a rich interpersonal environment, in-house skills 
recognized nationally and internationally.
An inclusive and equitable work environment.
A structure accessible to people with disabilities.
A complementary health insurance scheme offering excellent health care coverage 
in addition to social security, with the possibility of enrolling family members 
(spouse and children).
6 weeks’ annual leave (with the possibility of 22 extra days’ leave per year 
linked to your choice of a 39-hour rather than 35-hour working week).
Flexible working arrangements, with the possibility of working from home up to 
two days a week.
A sustainable mobility package enabling employers to pay up to a maximum of 500 
euros a year to cover the home-to-work travel costs of staff who cycle to work.

To apply, please send your CV and covering letter to , 
applications are open until 31/07/2024.
See you soon at CERFACS!
Contact Information:
Please mention the CFD Jobs Database, record #19223 when responding to this ad.
NameLaurent GICQUEL
Email ApplicationYes
Address42 avenue Gaspard Coriolis
Record Data:
Last Modified15:54:26, Tuesday, June 11, 2024

► Transforming Computational Fluid Dynamics Meshing through AI, Dept of Engineering, University of Exeter
   11 Jun, 2024 
Job Record #19222
TitleTransforming Computational Fluid Dynamics Meshing through AI
CategoryPhD Studentship
EmployerDept of Engineering, University of Exeter
LocationUnited Kingdom, Devon, Exeter
InternationalYes, international applications are welcome
Closure DateFriday, June 28, 2024
Computational Fluid Dynamics (CFD) is a key element of modern engineering R&D 
and of digital engineering processes in Industry4.0. In a CFD code, the 
fundamental equations of fluid flow are discretised and solved numerically; this 
process of discretisation involves splitting the domain of interest into 
subdomains called cells, which make up the mesh covering the domain. The process 
of creating this mesh, referred to as meshing, is one of the most critical steps 
in the CFD workflow, as the quality of the numerical solution (and sometimes 
even the ability of the CFD code to find a solution) can be very strongly 
dependent on the quality of the mesh. At the same time, the meshing process 
itself is complex and often involves considerable human time and expertise to 
accomplish. Automated meshing programmes (such as snappyHexMesh, sHM, from the 
OpenFOAM suite of CFD codes) have been developed, but these simply automate the 
construction of the mesh from a large number of input parameters; finding the 
correct inputs is still complex and (human-)time consuming. 

New developments in AI technologies present the potential to revolutionise the 
meshing process however. AI technologies such as Artificial Neural Networks 
(ANNs) are good at discovering and reproducing human expertise, and could be 
used to “learn” what makes a good mesh. Machine Learning (ML, a branch of AI) 
can be used to iteratively improve mesh quality, based on commonly used (and 
easy to evaluate) mesh quality metrics – essentially automating and improving on 
the typical ad hoc meshing and re-meshing cycle used by human CFD engineers. 
Finally, automated mesh generators such as sHM use text-based input files that 
can be reproduced by Large Language Models (LLMs) such as ChatGPT. This presents 
a completely new and disruptive methodology to create the input files for CFD 
simulation, using carefully honed query terms and re-trained LLMs. The aim of 
the proposed PhD project is to investigate all these aspects of AI applied to 
meshing, which represents a truly disruptive technology for this important 
engineering tool.

The application process has two stages; supervisors nominate one candidate to go 
forward to a panel interview which will award funding to 4 of the 8 QuEX 
projects being advertised. Further details and link to the application form are 
on the official web site at
Contact Information:
Please mention the CFD Jobs Database, record #19222 when responding to this ad.
NameProf Gavin R Tabor
Email ApplicationYes
AddressHarrison Building, North Park Road, Exeter EX4 4QF, UK
Record Data:
Last Modified14:53:49, Tuesday, June 11, 2024

► Stochastic particle method for two-phase flows, University of Stuttgart
   10 Jun, 2024 
Job Record #19221
TitleStochastic particle method for two-phase flows
CategoryPhD Studentship
EmployerUniversity of Stuttgart
LocationGermany, Baden-Württemberg, Stuttgart
InternationalYes, international applications are welcome
Closure DateMonday, July 15, 2024
Modelling Phase Transfer in Reacting Flows

Research at the Institute for Combustion Technology at the University of Stuttgart focuses on theory and computation of turbulent multiphase flows. The key expertise of our work is the modelling of multiscale processes and the corresponding interactions between turbulence, chemistry and particle dynamics. Examples include specific combustion related issues like turbulent combustion, solid fuel combustion and pollutant formation but also nanoparticle flame synthesis, flash boiling and mixing in particle laden flows.
We have a current opening at ITV for a research assistant (Ph.D.) position in the area of stochastic modelling of spray flames. The project is motivated by the continued need for accurate predictions in energy conversion processes using liquid fuels. The challenges include novel burner design due to different combustion strategies and different properties of alternative fuels such as biofuels, e-fuels or ammonia. The latter will be needed for future carbon neutral or carbon free energy provision. Knowledge of the details of evaporation, liquid-gas phase interactions and subsequent combustion is, however, limited, especially in regions of high liquid fuel density. The current project shall use stochastic methods to predict the droplet combustion process in such multiphase environments with emphasis on the predictions of the mass and energy transfers between the phases and their effects on fuel conversion and pollutant formation.

Your tasks:
• Your tasks will focus on the simulation of spray combustion within different environments, ranging from rather dilute to dense sprays in canonical configurations and of laboratory flames. The phase transfer terms between the (real) liquid droplets and the stochastic particles representing the gas phase need to be assessed and strategies need to be devised that hold across all flow and flame regimes.
• You need to develop and implement the corresponding algorithms that can also be used on high performance computing platforms.
• You will analyze the simulation data with the aid of analytical models and machine learning methods. Especially the latter shall help you to identify the key quantities that serve as suitable coupling parameters.
• You will develop new models and closures for the statistical description of the relevant processes such that the models are transferable to applications of industrial interest.
• You will collaborate with partner groups predominantly in Germany and Australia, and all results shall be presented at national and international conferences.
• Dissemination of your results in international journals is expected.

Your profile
We expect an excellent Master degree in engineering or related disciplines. You have a solid background in fluid mechanics, thermodynamics, combustion and/or particle technology. You enjoy theory and model development and their numerical implementation. You will have experience in programming (C, C++ and possibly Python). Knowledge of OpenFOAM would be very beneficial.
You will be an enthusiastic and self-motivated person with a willingness to work closely with other team members. The Institute’s scientific language is English, but willingness to study German is expected.

We offer:
• The pay scale is according to TVL-E13 (> EUR 3000,-). The grade and therefore the final salary will depend on your relevant experience. The original appointment will be for one year. Upon successful completion of the first year, the employment can be extended for a minimum of two further years.
• We offer excellent potential for scientific development in the Institute for Combustion Technology (ITV) at the University of Stuttgart with state-of-the-art computer facilities and access to the University’s supercomputing centre.
The University of Stuttgart is one of the leading technically oriented universities in Germany with about 26.000 students and more than 5.000 staff. The Institute for Combustion Technology is part of the Faculty of Energy-, Process- and Bioengineering.

If interested, please send your CV and all other relevant application documents as PDF per email to
Contact Information:
Please mention the CFD Jobs Database, record #19221 when responding to this ad.
NameRecruitment manager
Email ApplicationYes
Record Data:
Last Modified11:24:21, Monday, June 10, 2024

► Junior Research Fellowship (on contract), Department of Mathematics, MNNIT Allahabad
    9 Jun, 2024 
Job Record #19220
TitleJunior Research Fellowship (on contract)
CategoryJob in Academia
EmployerDepartment of Mathematics, MNNIT Allahabad
LocationIndia, Uttar Pradesh , Prayagraj
InternationalNo, only national applications will be considered
Closure DateFriday, June 21, 2024

Description and Objectives of the Project: This research project deals with the development, analysis and
numerical simulation of mathematical models of magnetic targeting nano-drug delivery in pulmonary and 
arterial systems. Blood flow is treated as Newtonian in large arteries and non-Newtonian in small arteries, 
also a laminar fluid flow. Formulate the various shapes of geometries of diseased stenosis and discuss the 
influence of arterial permeability in the atherosclerosis regime. A fully developed physiological velocity 
profile is defined as the vascular inlet boundary condition. To overcome the incompleteness of vascular 
system, a proper pressure condition for the outlets is to be developed where a lumped mathematical 
model is derived to calculate the overall resistance at each outlet. Develop an advanced numerical method 
and algorithm to guide magnetic nano-drug delivery towards a specific targeted region in the arterial 
system. Apply computational fluid dynamics modelling to pulmonary vascular trees, Validate the numerical 
simulation results. 
The position is purely temporary and will be governed by the funding agency rules & 
service conditions of the Office of the Dean (Research & Consultancy), MNNIT Allahabad.
Number of Position : 1 (One)
Essential Qualifications : Postgraduate degree in basic science OR Graduate/ Post Graduate Degree in
professional course selected through a process described through any one of
the following: Scholars who are selected through National Eligibility Tests –
CSIR-UGC NET and/or GATE or any national level examinations conducted
by central government departments and their agencies and institutions such as
(OM No. SR/S9/Z-08/2018 dated 30.01.2019 for JRF/SRF/RA)
Desirable Experience: M.Tech./M.Sc. in Mathematics, Applied Mathematics,
Applied Mechanics, Biomedical Engineering, or any relevant discipline
suitable to the work proposed in the project. 75% marks or 8.0 CGPA in M.Sc.
or 65% marks or 6.5 CGPA in M.Tech. One year research experience in related
area: CFD analysis preferable
Fellowship : Rs. 31,000.00 per month + HRA (16%)
Other Benefits: Accommodation may be available as per the availability and the Institute
norms. Candidate selected for the JRF may register for Ph.D. if eligibility
conditions as set by institute is met by him/her. Facility of yearly leave,
carryover leave, medical benefits etc. may be available as per applicable rules
of the project staff
Age Limit : As per DBT guidelines (Age limit is relaxable as per DBT/GOI guidelines)
Tenure of Appointment : Appointment will be made on contract basis for a period of one year initially,
which may be extended depending on the performance evaluation on yearly
basis till the end of project.
Contact Information:
Please mention the CFD Jobs Database, record #19220 when responding to this ad.
NameDr B. Vasu
Email ApplicationYes
AddressDr B. Vasu
Deportment of Mathematics,
Motilal Nehru National Institute of Technology Allahabad,
Prayagraj- 211004,
Uttar Pradesh, India
Record Data:
Last Modified08:26:16, Sunday, June 09, 2024

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