The Computational Turbulence and Visualization Lab (CTV Lab) at The University of Texas at San Antonio (UTSA) has an immediate opening for a Post-Doctoral Research Associate.
The position (code: DNS) is sought in the area of numerical predictions of turbulent high-speed boundary layer problems in supersonic/hypersonic flow regimes and complex geometries. 
The employed numerical approach will be mostly Direct Numerical Simulation (DNS); however, Large-Eddy Simulation (LES) is also available in the in-house flow solver. 
We are looking for highly motivated candidates with strong HPC skills (MPI Fortran 90/95, C, C++, CUDA Python), turbulent boundary layer theory, Lagrangian Coherent Structures (LCS), and user experience on CPU and GPU supercomputers and clusters. 
Evidence of productive academic and publication records, excellent verbal and written English skills, and the ability to work both independently and as part of a group of researchers with diverse academic backgrounds are mandatory.
Current and funded projects in the research group involve wall-curvature effects on high-speed flows, boundary layer detachment due to streamwise and streamline pressure gradients, and high-speed crossflow jets.

QUALIFICATIONS
Required qualifications: applicants must have a Ph.D. in Aerospace, Mechanical Engineering, Computer Science, or a related field, to be awarded prior to starting the position. 
The candidates should have a strong background in the following areas: finite element/volume analysis, turbulence statistics, coherent structures, scientific visualization, and programming. Furthermore, oral communication and written skills are essential as part of the dissemination purposes (publication and oral presentations).

Responsibilities for the position include computational fluid dynamics analysis and postprocessing activities, manuscript writing for publications in scientific journals and for grant proposals, oral presentations during group meetings. Additionally, there may be lab management responsibilities, including supervision of undergraduate and/or graduate students. 
The position requires attendance at conferences, portfolios, and seminars. It is expected that the post-doctoral researcher will collaborate effectively with colleagues in the high-speed flow and scientific visualization community.
Position duration: The initial appointment will be for 1 year with the possibility of being re-appointed for additional years based on satisfactory performance and availability of funding.

Salary and fringe benefits: it is negotiable depending on prior years of post-doctoral experience. The University of Texas at San Antonio (UTSA) offers an excellent benefits package for its employees. For more information on the available benefits for full-time employees, please review the Employee Benefits at UTSA.

HOW TO APPLY:
To apply for this position, please ATTACH (i) a 1-page cover letter stating your research interests and career goals, (ii) a detailed CV, and (iii) contact information for three references and email to Prof. Guillermo Araya at juan.araya@utsa.edu quoting “DNS Post-doc position” in the email subject. Incomplete applications will not be reviewed. 
 
Supercomputing access requires U.S. citizenship or if you are not a U.S. citizen but have lived in the U.S. for 3 of the last 5 years. 
For further information, please visit the Computational Turbulence and Visualization Lab (https://ceid.utsa.edu/garaya/) or contact Prof. Araya at juan.araya@utsa.edu

Professor：Dr. Xiaowei Luke 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:
Xiaowei "Luke" Zhu serves as an Assistant Professor in the Department of 
Mechanical and Materials Engineering at Portland State University. He earned his 
Ph.D. in Mechanical Engineering from The University of Texas at Dallas. Prior to 
his appointment at PSU starting, Dr. Zhu worked as a postdoctoral fellowship at 
both Johns Hopkins University and Princeton University. His research primarily 
focuses on computational fluid dynamics, particularly in turbulence modeling, 
urban turbulence, and wind energy. 

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:
(1)Master degree;
(2)Engilish Proficiency proof (TOEFL or IELTS)
TOEFL: IBT minimum overall score of 80 with minimum subscores of 18 in reading 
and writing.	
IELTS: 6.5 overall scores with minimum sub-scores of 6.5 in reading and writing
(3)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 
(1) cover letter, 
(2) CV, 
(3) Transcripts for both undergraduate and master study,
(4) TOEFL or IELTS,
to my email address. For fully consideration, please make sure the 4 documents 
are attached.

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

About the Role :
Are you passionate about pushing the boundaries of science and engineering?
We are seeking a visionary Project Scientist to lead groundbreaking research in 
mass and heat transfer computational modelling in particularly related to the 
reduction of iron ore using Hydrogen/ Syngas.

This role is a unique opportunity to:

⤷ Develop advanced heat and mass transfer codes for metallurgical/chemical 
processes involving packed beds.
⤷ Mentor and guide the next generation of postgraduate students.

Who We're Looking For :
⤷ A Ph.D. holder in Chemical, Metallurgy, Mechanical, Aerospace, Civil, Physics, 
or related fields.
⤷ Proficiency in programming languages such as C/C++ and Python.
⤷ Expertise in modelling reaction kinetics, mass and heat transfer.
⤷ Commitment to a minimum of 9 months, with a passion for long-term 
contribution.

Desirable Skills :
⤷ OpenFoam, LIGGGHTS, ANSYS experience
⤷ Modelling of multiphase flows.
⤷ A curious spirit, eager to explore and publish.

What We Offer :
⤷ A competitive monthly salary commensurate with experience.
⤷ An initial 1-year contract with the possibility of renewal based on 
performance.
⤷ A vibrant, collaborative environment at India’s premier research institution.

Take The Next Step
Embark on a journey of discovery and innovation.
Submit your CV, select publications (if any), and two references to 
govindg_at_iisc_dot_ac_dot_in by Feb 7, 2025.

The University of Exeter is funding a number of Doctoral Landscape Award studentships across the range of the EPSRC Remit; and this includes 3 studentships in CFD and related areas. As follows;

Project 1 Use of Machine Learning techniques to Accelerate CFD (Tabor/Chu) - the project will look at ML-enabled turbulence models, solution techniques, and GPU computing.

Project 2 Integrated multi-agent LLM and CFD as Bi-level optimizer for Thermohydraulic Applications (Chu/Tabor) - using Large Language Models (LLMs) to propose designs for thermofluid systems which will then be evaluated using CFD (OpenFOAM)

Project 3 Quantum uncertainty quantification-QUQ (Rappel/Tabor) will investigate Quantum Computing as a route to Uncertainty Quantification.

To apply to any specific project, follow the link at the bottom of the pdf. The full list of Engineering projects is also available. UK students particularly encouraged to apply - these are open to international students as well but we are restricted as to how many can be awarded (no more than 30% can be international unfortunately).

Skills required:
Applied mathematics, numerical analysis, fluid mechanics, flow instability,
aeroacoustics, Fortran parallel programming

Nationality:
Due to access restrictions, this position is only open for European Union citizens.

Job description:
Numerical computation of long-range wave propagation is often expensive since the 
equations are basically elliptic and they must be solved in the whole space domain. 
Therefore, considerable efforts have been devoted for several decades to the 
transformation of the propagation equations into a parabolic system, which can be 
integrated by space marching. In particular, the One Way equations are obtained by 
algebraic factorization of the wave operator. They are used for example to describe 
the propagation of acoustic, seismic or electromagnetic waves. Recently, a modified 
approach combining operator decomposition in the wave direction and numerical 
discretization in the transverse direction has been proposed by Towne & Colonius (2015). 
One of the key advantages of this approach is that it does no longer require tedious 
algebraic factorization and it can therefore be applied to more complex systems of 
equations, such as the linearized Euler or Navier-Stokes equations to describe the 
propagation of waves in inhomogeneous flows.
Two doctoral works have already been carried out at ONERA Toulouse to improve the 
numerical One Way approach and a Fortran code has been developed. The purpose of 
the post-doctoral training will be to continue to improve the code capability and 
to apply it to a practical problem such as the low-frequency sound radiation of 
jets due to the instability of the jet shear layer. First, the growth of fluctuations 
inside the jet shear layer will be computed by One Way method and compared with the 
results of parabolized stability equations (PSE). Then the sound radiation will be 
deduced and compared with LES and experimental data, first for a circular single-stream 
jet, then for a coaxial double-stream jet. The test cases will be defined in coordination 
with Airbus Aircraft and with Pprime Institute (Poitiers, France), which will also 
provide experimental data, in the frame of a collaborative research program funded by 
the French Civil Aviation Authority.

Number: 2; Open: Accept at any time
 
Living stipend ($35,000 per year): covered for three years; 
Tuition fee ($38,000 per year):  covered for four years.
 
Fields of study: wave energy converters, control systems and fluid-structure 
interaction.
Local and international students
Full-time enrolment
Strong background in wave energy converters or/and fluid-structure interaction 
or/and systems and control
Solid background in mathematics (theories in both ordinary and partial 
differential equations)
 
Supervisor: Prof Khac Duc Do
Application:
https://scholarships.curtin.edu.au/Scholarship/?id=7396

We are seeking a postdoctoral researcher to join our NSF-funded project, Effects of environmental change on 
microbial self-organized patterns in Antarctic Lakes. The postdoc researcher will lead the effort to construct 
numerical models to investigate mechanisms forming the morphology and spatial patterns of benthic 
microbial communities (modern “stromatolites”) in Antarctic lakes. The quantitative framework will enhance 
our interpretation of ancient stromatolites in the geological record and improve our understanding of Earth’s 
evolutionary and environmental history.

Qualifications: An ideal candidate will have expertise in at least one of following areas: reactive transport 
modeling, computational fluid dynamics, or theory of spatial pattern formation. 
The successful candidate will be part of the research groups led by Dr. Xiaoli Dong (Department of 
Environmental Science and Policy, UC Davis) and Dr. Dawn Sumner (Department of Earth and Planetary 
Science, UC Davis).

Start Date: Negotiable, preferably by Spring or Summer of 2025. 

Duration and Salary: The initial appointment is for one year, with the possibility of extension for an additional 
year based on satisfactory performance. The annual salary ranges from $64,480 to $77,327, depending on 
the candidate’s experience. For more details on salary scales, please refer to the UCOP salary guidelines: 
https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t23.pdf

Responsibilities: Under the guidance of the PIs, the postdoctoral researcher will develop and analyze reactive 
transport models to explore the mechanism driving the morphology and spatial patterns of benthic microbial 
communities in Antarctic lakes. 

How to apply: Please email a cover letter describing your background and interests in the position, a CV, and 
contact information for three references to Dr. Xiaoli Dong at xldong@ucdavis.edu. Review of applications will 
begin on Feb 14, 2025, and the position will remain open until filled.


Diversity and Inclusion: UC Davis is committed to fostering a diverse and inclusive work environment. All 
applicants are protected under Federal law from discrimination based on race, color, religion, sex, national 
origin, disability, age, and genetics. UC Davis provides reasonable accommodations to applicants with 
disabilities.  Applicants requiring a reasonable accommodation for any part of the application and hiring 
process should contact the Office of Equity by email at dmshelp@ucdavis.edu. Determinations as to granting 
reasonable accommodations for any applicant will be made on a case-by-case basis.

The “Data-Driven Fluid Dynamics” group (ITLR, Faculty of Aerospace Engineering 
and Geodesy, University of Stuttgart), led by Prof. Heng Xiao, invites 
applications for a full-time research position as a Postdoctoral Researcher or 
Ph.D. Student (EG 13 TV-L).

The "Data-Driven Fluid Dynamics" group operates at the forefront of fluid 
dynamics, data science, and high-performance computing. Our mission is to 
develop cutting-edge, data-driven methods to address technically demanding and 
socially impactful challenges in computational fluid dynamics. We leverage 
machine learning and data assimilation to enhance understanding and improve 
predictions of multi-scale physical systems in fluid flows. Examples include 
aerodynamic turbulent flows, laminar-turbulent transitions, and granular and 
particle-laden flows. Further details about our research can be found on our 
website (https://www.hengx.org/blog).

We are seeking a motivated postdoctoral researcher or Ph.D. student to 
contribute to a DFG-funded (German Research Foundation) project focused on 
developing coupled data-driven turbulence and heat-flux models. This research 
has potential applications in film cooling for high-pressure turbines. The 
project is a collaborative effort between Prof. Heng Xiao (University of 
Stuttgart) and Prof. Solkeun Jee (Gwangju Institute of Science & Technology, 
South Korea). The position is initially limited to three years, with the 
possibility of renewal for up to six years, subject to mutual agreement and in 
accordance with university regulations.

The sorting of particles in a fluid is crucial in various fields, and the ratchet effect offers a promising alternative to microfiltration, particularly in microgravity. This phenomenon is based on the selective transport of particles via a periodic flow in microchannels. The aim of the internship is to design an experimental device to demonstrate this effect, by analyzing numerical simulations of realistic 2D particle trajectories in quasi-static flow. The numerical calculations, performed with FreeFEM++ and continuation tools, will determine the parameters leading to the ratchet effect and produce a bifurcation diagram to assist design.
More details here (http://lmfa.ec-lyon.fr/spip.php?article2561)

Position Description

CHAM is seeking a Computational-Fluid-Dynamics (CFD) Engineer to be based at its Wimbledon office, with the remit to contribute to all technical areas of the business, as follows:

1. Contribute to software-development activities.
2. Assist with technical-support services by investigating, finding and reporting on solutions to problems raised by Clients.
3. Execute CFD consultancy contracts with Client interaction. 
4. Contribute to product marketing by technical writing for Newsletters and other publications and forums.
5. Participate in technical sales by creating Sales demonstrations for prospective Clients.

The main task is to assist our Software Development Team to develop, implement, test and document new features being added to PHOENICS, our general-purpose CFD Code; and other CHAM software products. The successful candidate will also provide assistance to CHAM’s Technical Support Team, on an ad hoc basis, by investigating, finding and reporting on solutions to problems raised by CHAM’s customers.

Requirements:

* PhD in Computational Science; Engineering; Mathematics, Physics or similar fields which include fluid dynamics and heat transfer.
* Knowledge of CFD, fluid dynamics, heat transfer, thermodynamics, algorithmic software development, parallel computing and numerical methods. 
* Experience in the use of CFD and CAD software, and MS office (Excel, Word, and PowerPoint).
* Experience in software development with proficiency in programming languages such as FORTRAN, C, C++, C#, etc.
* Some experience in one or more of the following would be a distinct advantage: algorithms, cut-cell methods, immersed boundary methods, octree meshing, adaptive mesh refinement, solvers.
* Excellent oral and written communication skills. 
* Excellent analytical and problem-solving skills, with the ability to perform several tasks simultaneously.
* In addition to the above, applicants should be a team player with strong interpersonal skills.
* The right to live and work in the UK.

CHAM offers a competitive salary, which is commensurate with experience, and a benefits package.
Applicants are invited to send a current CV and cover letter outlining qualifications for the position to HR@cham.co.uk with the subject heading “CFD Engineer Application – (Your Name)”.

CHAM accepts direct applications only and does not process submissions via Agencies.