The Technical University of Braunschweig has over 16,000 students and 3,800 employees
one of the leading technical universities in Germany. It stands for strategic and
performance-oriented thinking and acting, relevant research, committed teaching and successful
Transfer of knowledge and technologies in business and society. We consistently stand up for
Family friendliness and equal opportunities.

Our research focuses on mobility, engineering for health, metrology and the city
Future. Strong engineering and natural sciences form our core disciplines. This
are closely linked to economics, social sciences, education and the humanities.

Our campus is located in the middle of one of the most research-intensive regions in Europe. With those over 20
We work just as successfully with research institutions in our neighborhood as we do with them
our international partner universities.

We are looking for the Institute of Aircraft Propulsion and Turbomachinery as soon as possible
a
Research assistant
Employees (m/f/d) on the topic: design and development
a modular aircraft model for investigation
integrated drives (EG 13 TV-L, full-time)

The position is temporary and is expected to be filled for 3 years. It is intended to qualify the
serve young academics and offers the opportunity to do a doctorate.

With the major goal of climate-neutral flying, we are conducting research in the new DFG/TRR
SynTrac research network potentials and synergies through one
Aircraft design with highly integrated drives in numerous sub-projects. In the
Subproject A1 at the Institute of Aircraft Propulsion and Turbomachinery is intended for this
The entire consortium developed a versatile wind tunnel model to validate the
Models and numerical results are developed and tested. With help
of a modular structure, the solution approaches should be different
Technologies are determined in a unique overall model and thus
novel methods for calculating the performance of aircraft
be validated within SynTrac. The engines can z. B. very close to the fuselage
arranged or even completely integrated. All drives in the model should be considered active
Thrust generators with electric drives are being implemented, which makes the project particularly exciting and
makes it unique. There will be very close cooperation with the project throughout the entire project period
Project A02 takes place as model design data, instrumentation data and the most important
experimental results to validate the power balance in A02 will be made available.

Your tasks
• You are conducting research on the subject of engine integration in the SynTrac special research area
• You present research results at national and international conferences
• You support university teaching by supervising student work
your qualification
• You have completed a scientific university education (Master or
equivalent) in the field of mechanical engineering, aerospace engineering.
• You have a very good knowledge of German and English
• You can be enthusiastic about actively taking on the challenge of climate-neutral flying
work and are open to working in an interdisciplinary, cross-location team
SynTrac• You are flexible, resilient and can work well in a team

We offer
• Working on exciting, future-oriented research topics in an inspiring environment
Working environment as part of the university community
• a lively campus life in an international atmosphere with numerous intercultural
Offers and international collaborations
• Remuneration according to TV-L (annual special payment, company pension plan comparable to a
Company pension in the private sector) including 30 days of annual vacation
• flexible working and part-time models and a family-friendly university culture, since 2007
awarded the “Family Friendly University” audit
• Special training opportunities for young scientists, a postdoc program
as well as other offers from the central personnel development and sports offers.

More information
We look forward to applicants of all nationalities. At the same time, we welcome your interest
severely disabled people and give preference to their applications if they are equally qualified. Please advise
Please mention this when you apply and provide proof. Furthermore, we work
based on the Lower Saxony Equality Act (NGG) on the fulfillment of the
Equality mandate and strive to avoid underrepresentation in all areas and positions.
S. of the NGG to be dismantled. We are therefore particularly happy to receive applications from women.

We store personal data to carry out the application process. Through
By submitting your application, you agree that your data will be processed
Stored electronically for application purposes in compliance with data protection regulations
are processed. For further information on data protection, please see our
Data protection declaration at https://www.tu-braunschweig.de/datenschutzerklaerung-bewerbungen. We
do not reimburse application costs.

questions and answers
Do you have any questions? Mr. Daniel Kessler will answer this by telephone at this number
+4953139194210 or by email to d.kessler@ifas.tu-braunschweig.de.

Apply using the keyword: “A01”
If we have aroused your interest, send your application with meaningful documents
in PDF format, preferably by email to d.kessler@ifas.tu-braunschweig.de
or by post
Technical University of Braunschweig
Institute of Aircraft Propulsion and Turbomachinery
Hermann-Blenk-Str. 37
38108 Braunschweig

Your application documents should include:
• Cover letter (max. 1 page)
• CV stating professional experience and university education, language and computer skills
• Copies of final certificates and an overview of the subjects taken

PhD in optimization of compact heat exchangers at ISM, TU Braunschweig

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

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

Please contact Anadika Paul Baghel (a.baghel@tu-braunschweig.de) for an informal query about this studentship.

Requirements:

The candidate will have an Undergraduate or Master’s degree (or equivalent) in Mechanical Engineering, Aerospace Engineering, Mathematics, Physics, Computer Science, or a related discipline. 
You would be highly motivated, and able to work independently as well as collaborate with others with effective written/oral communication skills.
Knowledge of fluid mechanics or CFD is essential. 
Experience in programming (Fortran/C++/Python) would be an advantage. 
Applicants should have strong skills or interests in CFD, fluid mechanics, numerical methods, and programming.

How to apply:

Please email Anadika Paul Baghel at a.baghel@tu-braunschweig.de with the subject line "Ph.D. Application", including a brief cover letter, your CV, and unofficial transcripts in a single PDF file. 
I receive a large amount of applications and please only use the above subject line in your email. Otherwise, I will not be able to locate your email and review your application.

Title: High-fidelity CFD and data-driven modeling of aerodynamic noise sources

About the Project:

Applications are invited for three funded 3-year PhD studentships for the project titled “High-fidelity CFD and data-driven modeling of aerodynamic noise sources” in the group of Prof. Georgios Moutsanidis at Stony Brook University.
The research of Prof. Georgios Moutsanidis’s group is focused on developing high-fidelity CFD and data-driven approaches for aerodynamics and aeroacoustics.
The PhD project is expected to start in 2024 (but can be flexible). 
The successful applicant will be able to work within a vibrant and multidisciplinary aerospace team under the Department of Civil Engineering at Stony Brook University and also have opportunities to engage with researchers at other national and international leading academic institutions, and industries, such as Rolls-Royce and Airbus, via established collaboration.

Project details:

Noise pollution is a growing environmental issue and has become the second-largest environmental cause of health problems in the US, just after air pollution. 
As the volume of air traffic keeps growing, aviation noise becomes of great concern to society. 
Thus, noise is now an important factor in certificating newly developed civil aircraft as well as future urban unmanned air vehicles (UAV).
Aviation noise is primarily generated by unsteady turbulent flows. 
Most of the current technologies are to absorb noise rather than reduce it at the source, which is inefficient. 
One example of reducing noise at the source is to serrate jet nozzle or airfoil leading/trailing edges. The serrated edge can reduce noise emissions. 
However, the design is largely trial-and-error and heavily depends on expensive rig testing, because the mechanisms of turbulence noise generation are not fully clear yet. 
In this project, we will employ high-fidelity CFD to provide full details of noise generation processes in unsteady turbulent flows. 
The data-driven method will be developed to explore noise-generation dynamics and inform low-order modeling, which will eventually lead to optimal control of reducing noise emissions. 
The application will be initially focused on jet noise, but the method to be developed in the project is general, so it can be used to tackle a broad range of aero-acoustic problems. 

Please contact Prof. Georgios Moutsanidis (Georgios.Moutsanidis@stonybrook.edu) for an informal query about this studentship.

Requirements:

The candidate will have an Undergraduate or Master’s degree (or equivalent) in Mechanical Engineering, Aerospace Engineering, Mathematics, Physics, Computer Science, or a related discipline. 
You would be highly motivated, and able to work independently as well as collaborate with others with effective written/oral communication skills.
Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) would be an advantage. 

How to apply:

Please email Prof. Georgios Moutsanidis at Georgios.Moutsanidis@stonybrook.edu with the subject line "Ph.D. Application", including a brief cover letter, your CV, and unofficial transcripts in a single PDF file. 
I receive a large amount of applications and please only use the above subject line in your email. Otherwise, I will not be able to locate your email and review your application.

https://www.dropbox.com/scl/fi/imzx3ouus3zo6yq53xxiq/PSU_PhD_Apr2024.pdf?
rlkey=vonzy5lf05hjfor0avcprc1aw&st=1ivyvxos&dl=0

Fall 2024/Spring 2025 Computational Fluid Dynamics (CFD) Ph.D. Position at 
Portland State University
(Published: April 2024)

Professor：Dr. Xiaowei Zhu
Email：xz3@pdx.edu    Website：https://www.pdx.edu/profile/xiaowei-luke-zhu 

About Portland State University (PSU):
Established in 1946, Portland State University (PSU) is a beacon of educational 
excellence in Portland, Oregon, USA. As the largest and most culturally diverse 
institution in the Oregon university system, PSU is uniquely situated in an 
urban center, offering a rich, vibrant academic experience. Currently, the 
university boasts a dynamic student body of approximately 27,000, including over 
2,000 international students. In the prestigious 2020-2021 QS World University 
Rankings, PSU is ranked 110th in the United States, reflecting its commitment to 
academic excellence and innovation.

About Portland, Oregon:
Known as the "City of Roses," Portland is the most populous city in Oregon and 
the 19th most populous metropolitan area in the United States. It is the second 
largest city in the Pacific Northwest, following Seattle. Renowned for its 
pleasant climate and high per capita income, Portland has consistently been 
rated as one of the most livable cities in the United States.

Faculty Profile - Dr. Zhu:
Dr. Zhu, an esteemed assistant professor in the Department of Mechanical and 
Materials Engineering at PSU, boasts an impressive academic background. With a 
bachelor's degree from Xi'an Jiaotong University, a master's from Chongqing 
University, and a PhD from the University of Texas at Dallas, Dr. Zhu has also 
completed postdoctoral research at Johns Hopkins University and Princeton 
University. His research primarily focuses on computational fluid dynamics, 
particularly in turbulence modeling, urban turbulence, and wind energy. Dr. Zhu 
has made significant contributions to his field, with publications in leading 
journals such as the Journal of Fluid Mechanics and Physical Review Fluids.

PhD Recruitment - Research on Urban Environmental Turbulence: We are excited to 
announce the recruitment of a PhD candidate to explore the application of 
turbulence in urban environments. This includes atmospheric turbulence, heat 
islands, and pollutant diffusion. The Urban Environment Lab at PSU utilizes 
advanced numerical simulations to tackle the complexities of modern urban 
environments. Our research delves into fluid dynamics, heat transfer, and air 
pollution within cities, aiming to enhance our understanding of human-
environment interactions and contribute to the development of sustainable urban 
designs.

Admissions Requirements:
*Has a master degree;
*Ideal candidates should possess a passion for scientific research, a strong 
drive, and enthusiasm for problem-solving. We welcome applicants from related 
science and engineering fields, particularly those with a background in 
mechanical engineering, physics, thermal energy/fluids, atmospheric sciences, or 
environmental studies. 
*Priority will be given to candidates with expertise in 
fluid mechanics, heat transfer, and programming. 
*Interested individuals should 
submit a cover letter, personal CV, and transcript to our email address.

Recruitment Period:
Enrollment is open for Fall 2024 and Spring 2025. We offer a comprehensive 
scholarship package, including tuition assistance and a living stipend.

The Scientific Computing Lab (SCL) at BTU Cottbus-Senftenberg has open 
positions for a Postdoc, Ph.D. and/or M.Sc. in coupling reduced order models (ROM) 
and/or stochastic turbulence models to OpenFoam type open source tool boxes to 
investigate energy related problems. This project is a part of ongoing activities 
within the newly-created SCL which is part of the Energy Innovation Center (EIZ) 
at BTU.

The project focuses on developing and coupling advanced numerical low order 
approaches in a model adaptive way to OpenFoam or similar CFD tool boxes.

The main responsibilities will lie in:

- coupling different ROMs to OpenFoam 
- validation against DNS or experiments 

The potential candidates should have:

- a strong background in fluid mechanics and CFD (DNS or LEs preferred)
- experience with Linux and strong hands-on experience with computing in at least 
one programming language (e.g. C/C++, Python, ...)
- experience in developing numerical models, codes, and computational algorithms
- familiarity with OpenFoam

The position is available from now on (the actual starting date can be 
negotiated). Please send the following documents only via email to 
heischmi@protonmail.com using the subject "SCL_ROM":

- Recent CV
- Relevant Transcripts
- Two-page cover letter including a motivation  

Please ensure you submit all required documents. Only qualified candidates might 
be contacted for an online-interview.

The Scientific Computing Lab (SCL) at BTU Cottbus-Senftenberg has open 
positions for a Postdoc, Ph.D. and/or M.Sc. in Numerical Modeling of Wind Farms. 
This project is a part of ongoing activities within the newly-created SCL which is 
part of the Energy Innovation Center (EIZ).

The project focuses on developing and coupling advanced numerical tools for 
integral wind farm modeling in complex environmental terrains and under realistic 
atmospheric conditions. During this process, fundamental questions related to the 
incoming wind field, wake-structure interaction, wake mitigation strategies and 
wake control, influence of the atmospheric stability and roughness effects, will 
be explored. During the project the application of stochastic models, ROM and 
physics-informed NN will play a key role. 

The main responsibilities will lie in:

- coupling different modules of the code to perform an integral simulation of the 
wind park in complex terrain interacting with stratified flows 
- validation  
- incorporation of control strategies
- coupling weather models
- comparison to field data 

The potential candidates should have:

- a strong background in fluid mechanics and CFD (DNS, LES preferred)
- experience with Linux and strong hands-on experience with computing in  C/C++ or 
Python
- experience in developing numerical models, codes, and computation algorithms
- experience with CFD using FEM and/or FVM
- familiarity with OPENFAST or QBlade

The position is available from now on. Please send the following documents only 
via email to heischmi@protonmail.com using "SCL":

- Recent CV
- Relevant Transcripts
- Two-page cover letter including a motivation  

Please ensure you submit all required documents. Only qualified candidates might 
be contacted for an online-interview.

Position: Sr. Software Engineer (LBM Solver Development) - Reports To: Solver 
Development Manager
Tridiagonal Software is a leading Software OEM developing and licensing highly 
automated Engineering Analysis tools powered by CFD as well as Knowledge 
Management Software tools to the global chemicals and pharmaceutical industry. 
Our flagship products MixIT and SimSight are licensed by some of the World’s 
largest corporations based in US and Europe. (https://mixing-solution.com/) and 
(https://simsight.tridiagonalsoftware.com/) We are on a fast-track growth mode 
and are looking for young, dynamic people to join this exciting journey with us 
to contribute to their own and company’s growth. We provide an accelerated 
career growth path to individuals with tremendous opportunity to learn, execute 
and excel. 

Essential Duties and Responsibilities:
●	LBM solver development for software products and services
o	Development and maintenance of solver
o	Adding new physics model to existing solvers
o	Development of solution strategy for customer specific problems
●	Work on file writing, GUI development for solver 
●	Work with development team, product management and QA
•	Participate in internal and customer meetings

Key Competencies:
●	Willingness to be part of software development team, developing the next 
generation solutions for manufacturing & chemical industry using the latest 
technologies
•	Good understanding of basic fluid dynamics and heat transfer
o	Exposure to reaction modelling, multiphase modelling or compressible 
flows will be an added advantage
•	Formal course work and good understanding of numerical methods and 
computational fluid dynamics (CFD) is a critical requirement
•	Experience/project work in LBM solver development required
•	Proficiency in any one of programming language like C, C++ or Fortran 
etc. (C++ is preferred)
•	Good verbal and written communication skills
•	Strong Presentation Skills Knowledge 
•	Willing to learn new tools and technologies
•	Should be a self-starter, quick learner with sense of project ownership

Education & Experience:
•	Ph.D. / M. E. / MTech in Mechanical / Chemical/ Aerospace/ Thermal 
Engineering having keen interest in Solver development with 0 to 3 years of 
experience. 
•	Master’s or Ph.D. project in CFD solver development preferred.

Location: San Antonio, Texas or Pune, India or Remote if not a resident of US or 
India

Remuneration: 
•	Compensation as per industry standards. 
•	Benefits would be detailed in the final offer.

Contact Details:  Christina Castillo – christina.castillo@tridiagonal.com

Thesis Title:
 
Influence of Boundary Layers on the Measurement of Auto-Ignition Delays in High-
Pressure Shock Tubes – Application to the Kinetics of Biomass-Derived Fuels – 
Simulation and Experimentation

Host Laboratory:

Laboratoire DRIVE 
49 rue Mademoiselle Bourgeois
58000 Nevers – France

Specialization of the Doctorate : Energetics

Keywords: Shock tube, auto-ignition delay, biomass, boundary layers, CFD, 
kinetics

Detailed Description of the Thesis: 

The depletion of fossil fuels and climate change, partly caused by emissions 
from their combustion, represent major societal challenges. Alternative fuels 
derived from bioresources (biofuels, hydrogen, ammonia) appear as promising 
solutions to overcome these challenges, particularly in the transportation 
sector, especially for heavy-duty vehicles and energy processes. Although the 
combustion of certain alternative fuels at high temperatures and low pressures 
has been extensively studied in the literature using fundamental reactors such 
as laminar flames and perfectly stirred reactors [1-2], research is limited 
under high temperature and high pressure conditions similar to those operating 
in thermal reactors such as internal combustion engines, gas turbines, and 
turbojets (400-2000K, 1-100Bar) [3]. The shock tube is one of the fundamental 
reactors that allows the study of the combustion of alternative fuels under such 
conditions by measuring auto-ignition delays [4], profiling intermediate species 
[5], and validating kinetic models to understand the degradation of these fuels 
[6]. One of our recent studies [7] showed that the auto-ignition delay measured 
in the shock tube can be affected by boundary layers [8] under certain 
conditions and impact the prediction of kinetic models.

From this observation, the thesis objective will be to characterize the impact 
of boundary layers on the auto-ignition delay measurements in the DRIVE 
laboratory's shock tube. This characterization will then allow to more precisely 
investigate the combustion kinetics of biomass-derived compounds under high 
pressure condition. The work will be carried out in four stages:

1. A comprehensive literature review will be conducted, relying on databases 
such as Web of Sciences, to examine previous work on laboratory experiments and 
both CFD (Computational Fluid Dynamics) and kinetic modeling. 

2. CFD modeling will be performed using Ansys Fluent software to evaluate the 
impact of boundary layers on the auto-ignition delay in the DRIVE shock tube.

3. A series of experiments will be conducted at the DRIVE laboratory to measure 
the auto-ignition delay of a bio-fuel/O2/Ar mixture in a shock tube at high 
pressure (20-40Bar) and high temperature (900-1600K).

4. Based on the data obtained, kinetic modeling will be carried out using Ansys 
Chemkin-Pro, integrating the results of CFD modeling to deepen the understanding 
of the oxidation kinetics of biofuel.

Bibliographic References
[1] L.-S. Tran, P.-A. Glaude, R. Fournet, F. Battin-Leclerc, Experimental and 
Modeling Study of Premixed Laminar Flames of Ethanol and Methane, Energy Fuels 
27 (2013) 2226–2245. 
[2] P. Dagaut, C. Togbé, Experimental and Modeling Study of the Kinetics of 
Oxidation of Ethanol−Gasoline Surrogate Mixtures (E85 Surrogate) in a Jet-
Stirred Reactor, Energy Fuels 22 (2008) 3499–3505.
[3] L.-S. Tran, O. Herbinet, H.-H. Carstensen, F. Battin-Leclerc, Chemical 
kinetics of cyclic ethers in combustion, Progress in Energy and Combustion 
Science 92 (2022) 101019. 
[4] Y. Uygun, S. Ishihara, H. Olivier, A high pressure ignition delay time study 
of 2-methylfuran and tetrahydrofuran in shock tubes, Combustion and Flame 161 
(2014) 2519–2530. 
[5] A. Hamadi, L. Piton Carneiro, F.-E. Cano Ardila, S. Abid, N. Chaumeix, A. 
Comandini, Probing PAH Formation from Heptane Pyrolysis in a Single-Pulse Shock 
Tube, Combustion Science and Technology 195 (2023) 1526–1542. 
[6] Y. Zhang, H. El-Merhubi, B. Lefort, L. Le Moyne, H.J. Curran, A. Kéromnès, 
Probing the low-temperature chemistry of ethanol via the addition of dimethyl 
ether, Combustion and Flame 190 (2018) 74–86. 
[7] H.-Q. Do, B. Lefort, Z. Serinyel, L. LeMoyne, G. Dayma, Comparative study of 
the high-temperature auto-ignition of cyclopentane and tetrahydrofuran, 
International Journal of Chemical Kinetics 56 (2024) 199–209. 
[8] D. Nativel, S.P. Cooper, T. Lipkowicz, M. Fikri, E.L. Petersen, C. Schulz, 
Impact of shock-tube facility-dependent effects on incident- and reflected-shock 
conditions over a wide range of pressures and Mach numbers, Combustion and Flame 
217 (2020) 200–211.

Requested Profile: 
• Engineer/Master's in process engineering or fluid mechanics/energy with 
possible knowledge in chemical kinetics. 
• Fluent in English, ability to work in a team 
• Send CV, cover letter, letters of recommendation from supervisors, transcripts 
from the first and second year of Master's degree or last two years of 
engineering degree to the supervisors and thesis director.

Funding: MESRI Establishment
Application to be sent before May 25, 2024 (Interview at the end of May, 
beginning of June)
Start of contract: October 1, 2024
Gross monthly salary: €1975

Thesis Direction: 

Benoîte Lefort, Full Professor
Benoite.Lefort@u-bourgogne.fr

Thesis Supervision: Co-Supervisors:

Julien Jouanguy, Associate professor  
Julien.Jouanguy@u-bourgogne.fr

Hong-Quan Do, Associate professor
Hong-Quan.Do@u-bourgogne.fr

The use of Artificial Intelligence in Computational Fluid Dynamics (CFD) is very 
promising to propose new physical models. Few studies have been done so far on 
the modeling of wall flows, for which the available physical models are facing 
great difficulties to be applicable and predictive. A recent PhD thesis at IFPEN 
has shown the ability of a neural network trained on high-fidelity wall-resolved 
data to reproduce the physics of a turbulent non-equilibrium boundary layer, 
accurately inferring wall friction from flow variables at a distance 
corresponding to the wall resolution of typical RANS coarse meshes. The present 
thesis aims at continuing this work to include the prediction of wall heat flux, 
a key element for many application areas at IFPEN involving thermal and cooling 
aspects. In particular, the objective is to formulate analytical thermal wall 
laws through the development of an adapted Gene Expression Programming (GEP) 
method. This symbolic regression approach allows to form interpretable 
analytical models, more regular and more robust than methods based on neural 
networks. This new approach will also have the advantage of being more easily 
implemented in any type of CFD code. In a first step, the PhD student will focus 
on the implementation of a GEP methodology with a first validation in terms of 
prediction of wall shear stress on single-phase turbulent canonical flows, and 
the results will be compared to those obtained with neural networks. The 
approach will then be extended to the prediction of wall heat flux from high-
fidelity test cases representative of liquid cooling of electric drive train
components.

CFD Developer