Join our dynamic research team as a PhD student at the Mechanical Engineering 
Department at Texas A&M and explore the fascinating world of multiphase flows, 
combustion, compressible flows, and numerical methods. We are seeking highly 
motivated individuals with a passion for high-speed and shock-driven flows, 
adeptness in programming languages such as C++, Fortran, and Python and 
expertise in OpenFOAM.

Qualifications:

Master's degree or equivalent in Mechanical Engineering, Aerospace Engineering, 
or a related field
Strong background in multiphase flows, combustion, and compressible flows
Proficiency in numerical methods and experience with C++, Fortran, and OpenFOAM
Familiarity with high-speed and shock-driven flows
Excellent analytical and problem-solving skills
Strong written and verbal communication abilities
Previous publications in the related field are a plus.

Responsibilities:

Conduct cutting-edge research in multiphase flows, combustion, and compressible 
flows
Develop and implement numerical methods for simulation and analysis
Utilize C++, Fortran, and OpenFOAM to solve complex fluid flow problems
Collaborate with interdisciplinary teams to advance understanding in the field.
Publish research findings in reputable scientific journals and present at 
conferences.

To apply, please submit the following documents:

Detailed curriculum vitae (CV) highlighting your education, research experience, 
and publications (if any)
Academic transcripts from previous degrees
Sample of publications.

Please upload all application materials in a single pdf file and email it to me:
djarrahbashi@tamu.edu

The Future Cities Institute (FCI), founded by Caivan, is seeking two exceptional PhD to work at the intersection of simulation, machine learning, and data-driven analysis, optimization, and decision making in the context of future cities (e.g., urban development, transportation, and resilient infrastructure).  They will be part of a research team with Drs. David Del Rey Fernández (Faculty of Mathematics) and Leia Minaker (Faculty of Environment), and will have the opportunity to interact with other faculty, Postdoctoral Fellows, and students associated with the FCI.

Applicants with a Masters in computer science, engineering, mathematics or suitable background are encouraged to apply. A proven track record of scholarly excellence is essential while experience in simulation and or machine learning is considered an asset.

The successful candidate will work in an interdisciplinary team environment, with a focus on creating tools to enhance evidence-based analysis, optimization, and decision making. These two positions are within a Future Cities research cluster that aims to significantly advance the field of urban data science that makes an impact on how cities are designed, built, and maintained. 

To Apply: Qualified applicants should first submit a Cover letter describing their research interests and a Curriculum Vitae by email to Dr. Del Rey Fernández (ddelreyfernandez@uwaterloo.ca).  PhD applications will be considered for Fall start date with application deadline of January 15, see the following website for more information:
https://uwaterloo.ca/applied-mathematics/graduate-students/applying

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our working group in the field of
Computational Fluid Mechanics. The successful candidate will contribute to an exciting three-year project focused
on inverse modelling of compressible fluid flow using high-speed Schlieren and PIV images.
The project involves developing and applying advanced numerical methods for solving the Navier-Stokes
equations, both forward and adjoint solutions, to invert experimental data from high-speed imaging techniques.
The successful candidate will be expected to work closely with our experienced team in the field of adjoint
data assimilation to develop innovative solutions, based upon an existing numerical framework.
Responsibilities:
* Develop and implement advanced numerical methods for solving the Navier-Stokes equations
* Invert high-speed Schlieren and PIV images using forward and adjoint solutions
* Collaborate with our research group to develop novel inverse modelling approaches
* Publish research findings in top-tier scientific journals
Requirements:
* Ph.D. in Computational Fluid Mechanics, Mechanical Engineering, or a related field
* Strong background in numerical methods for fluid flow simulation (Navier-Stokes equations)
* Proficiency in programming languages such as Julia, Python, C++, or Fortran
* Excellent communication and collaboration skills
* (ideally:) Experience with high-speed imaging techniques (Schlieren and PIV images, AI, Physics Informed Machine Learning)
What we offer:
* A three-year, 100% TVL 14 postdoctoral position in a dynamic and experienced research group
* Opportunities for professional growth and development in a cutting-edge field
* Collaborative and stimulating working environment

Postdoctoral Researcher in Biophysics

A postdoctoral training position at the interface of Biophysics and 
Developmental Biology is available in the laboratory of Konstantin Doubrovinski, 
at UT Southwestern Medical Center, in collaboration with Dr. Weria Pezeshkian 
(University of Copenhagen). Our laboratory has been establishing unique 
measurement tools to probe cells and their constituents in developing embryos, 
with the aim of systematically mapping out material properties of cellular 
structures. The work focuses on uncovering the physical basis of tissue dynamics 
in the early fruit fly embryo. These data are indispensable for formulating 
comprehensive and predictive models of animal development. Recent experimental 
data have indicated that membranes and not actin cytoskeleton dominate 
mechanical properties of the cellular boundaries in the early fruit fly embryo. 
The aim of the project is twofold: (1) to model mechanical response 
(deformation) of embryonic tissue to external calibrated mechanical 
manipulations, and (2) to leverage the model of embryonic tissue mechanics for 
simulating the dynamics of tissue shape changes during the early fruit fly 
development.


On the theoretical side, Pezeshkian lab has a unique expertise in simulating the 
dynamics of fluid membranes. On the experimental side, Doubrovinski lab has 
established a comprehensive toolbox for directly measuring mechanical responses 
of embryonic tissue to well-calibrated external force. A combination of these 
tools has the unique potential to deliver a genuinely quantitative mechanical 
model of tissue dynamics driving embryonic development.


Candidates must hold a Ph.D. degree. Experience in computational physics is 
required. A background in biophysics/developmental biology is a plus.


Information on our postdoctoral training program, benefits, and a virtual tour 
can be found at http://www.utsouthwestern.edu/postdocs.


Interested individuals should send a CV, statement of interests, and a list of 
three references to:


Konstantin Doubrovinski

Konstantin.Doubrovinski@utsouthwestern.edu https://doubrovinskilab.com/ 
Konstantin Doubrovinski, Ph.D. - Faculty Profile - UT Southwestern

I will soon be looking for a postdoc who specializes in computational modeling of 
fluid-structure interaction (FSI). I am traveling to the APS/DFD conference this 
weekend and will be happy to meet you there if you plan to attend as well.

This position will work on computational FSI modeling of biological systems and is 
eligible for multi-year renewal. CFD, numerical methods, Fortran or C programming, 
parallel computing, and FSI are essential knowledge needed for the position. More 
details will come out soon.  You are welcome to reach out to me at 
haoxiang.luo@vanderbilt.edu.   

I will soon be looking for a postdoc who specializes in computational modeling of 
fluid-structure interaction (FSI). I am traveling to the APS/DFD conference this 
weekend and will be happy to meet you there if you plan to attend as well.

This position will work on computational FSI modeling of biological systems and is 
eligible for multi-year renewal. CFD, numerical methods, Fortran or C programming, 
parallel computing, and FSI are essential knowledge needed for the position. More 
details will come out soon.  You are welcome to reach out to me at 
haoxiang.luo@vanderbilt.edu.   

Multiple graduate research assistant openings are available in the Micro/nano-
Engineering Laboratory at University of Tennessee Chattanooga. The positions are 
for Ph.D. in Computational Engineering. Projects are in collaboration with Oak 
Ridge National Laboratories and supported by National Science Foundation. Students 
interested in fluid dynamics, heat transfer, material science, nanoscale transport 
phenomena, molecular dynamics and/or molecular and interfacial phenomena are 
welcome to apply. Prior experience in computational work and programing skills are 
valued. If interested, send your resume and transcript to 
utc.nanoengineering@gmail.com . These positions come with full funding, including 
stipend, health care, and tuition waiver.

Multiple graduate research assistant openings are available in the Micro/nano-
Engineering Laboratory at University of Tennessee Chattanooga. The positions are 
for Ph.D. in Computational Engineering. Projects are in collaboration with Oak 
Ridge National Laboratories and supported by USA Department of Energy and National 
Science Foundation. Students interested in density functional theory, surface 
chemistry, transition state search, material science, or molecular and interfacial 
phenomena are welcome to apply. Prior experience in computational work and 
programing skills are valued. If interested, send your resume and transcript to 
utc.nanoengineering@gmail.com . These positions come with full funding, including 
stipend, health care, and tuition waiver.

Multiple graduate research assistant openings are available in the Micro/nano-
Engineering Laboratory at University of Tennessee Chattanooga. The positions are 
for Ph.D. in Computational Engineering. Projects are in collaboration with Oak 
Ridge National Laboratories and supported by USA Department of Energy and National 
Science Foundation. Students interested in density functional theory, surface 
chemistry, transition state search, material science, or molecular and interfacial 
phenomena are welcome to apply. Prior experience in computational work and 
programing skills are valued. If interested, send your resume and transcript to 
utc.nanoengineering@gmail.com . These positions come with full funding, including 
stipend, health care, and tuition waiver.

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.