Project titled:  CFD Optimization of Topology and Surface Texture for Wings of 
Butterfly-Mimetic Flyer

Candidate will work on an in-house CFD code for butterfly-mimetic aerodynamic 
study. It is expected to enroll in PhD program in near future too.

Qualifications: B.Tech with 75% or 7.0 GPA Score in Mechanical, Aerospace, Civil 
or relevant Engineering or M.Sc in Mathematics with 7.5 GPA or 70% Marks with 
Valid GATE / NET score for B.Tech / M.Sc students. OR M.Tech with 7.5 GPA or 70% 
in Mechanical (Thermal), Aerospace (Aerodynamics) or relevant field.

Exposure to CFD programming is desired.

Compensation as per JRF scale.

Please apply through https://erp.iitkgp.ac.in/SricWeb/temporaryJobs.htm

Three-year fully-funded Ph.D. position in Fluid Dynamics at the University of Genoa, Italy, in collaboration with Leonardo S.p.a. 

Project: Detection of Objects from Satellite Images Using Inverse Design and Artificial Intelligence, involving the use of

•	Computational fluid dynamics
•	Optimization (deterministic and stochastic)
•	AI (CNN, PINN, …)
•	Applied mathematics

For a up-to-date list (available from summer 2025) 
https://dicca.dottorato.unige.it/sites/dicca.dottorato.unige.it/files/2025-06/PhD projects_FIA_Borsa Regione.pdf

IT IS REQUIRED THAT YOU CONTACT Prof. Jan Pralits (jan.pralits@unige.it) BEFORE APPLYING TO THE POSITION. 
PLEASE WRITE A SHORT MAIL DESCRIBING YOUR BACKGROUND AND INTEREST AND ATTACH CV AND COURSE 
TRANSCRIPTS, BEFORE JUNE 25TH.

When applying please register and apply exclusively through the https://unige.it/en/students/phd-programmes

Application deadline is July 9th at 12:00 CET

Open Position: Research Assistant (Doctoral Student) in Optimization and Scientific Computing Using Lattice Boltzmann Methods

At the Institute of Applied and Numerical Mathematics (IANM) at the Karlsruhe Institute of Technology (KIT) we are looking for a

Research Assistant (f/m/d)

for our team Lattice Boltzmann Research Group (LBRG, www.lbrg.kit.edu). The position is part of an exciting research project focused on advanced numerical modelling and simulation with focus on sensitivity analysis and optimization for fluid dynamics, solid mechanics, and fluid-structure interaction (FSI) using lattice Boltzmann methods (LBM). After familiarisation, remuneration is paid according to TV-L, E 13. This role provides the opportunity to pursue a doctorate (PhD degree).

Your Responsibilities: 
•	Development and implementation of efficient and scalable LBM algorithms for complex multi-physics problems, specifically in OpenLB (www.openlb.net) 
•	Development and application of adjoint-based and data-driven optimization methods
•	High-performance computing (HPC) on modern GPU-accelerated architectures
•	Scientific collaboration with internal and external partners
•	Participation in teaching and supervision of students 
•	Presentation of results at international conferences and publication in peer-reviewed journals 

Your Profile: 
•	Master’s degree (or equivalent) in applied mathematics, scientific computing, or a related field
•	Strong background in optimization, numerical methods and scientific computing
•	Experience in fluid dynamics, solid mechanics, or LBM is highly advantageous
•	Programming skills in C/C++ or similar
•	Experience with parallel computing is a plus
•	Curiosity, creativity, and a collaborative mindset
•	Very good written and spoken English skills; basic German skills

We Offer: 
•	An inspiring research environment in a dynamic and interdisciplinary research group at one of Europe’s leading technical universities
•	Structured doctoral support and career development 
•	A vibrant campus life in the heart of Karlsruhe

Application: 
Please send your application including a cover letter, CV, transcripts, and contact details of at least one reference as a single PDF file to:

PD Dr. Mathias J. Krause
Karlsruhe Institute of Technology
Lattice Boltzmann Research Group
Street at Forum 8
76131 Karlsruhe
e-mail: mathias.krause@kit.edu 

Fully Funded Ph.D. Position available – TUBITAK project on 
“Interface-Resolved Direct Numerical Simulation of Droplet 
Evaporation”

Description: Our research group at Koç University is recruiting 
a Ph.D. student for Fall 2025. The project focuses on developing 
a high-fidelity fully 3D front-tracking method for interface-resolved 
direct numerical simulations of evaporating multiphase flow system 
including surfactant contamination and chemical reactions (combustion) 
and performing large scale interface-resolved DNS to examine 
(i) evaporation of a single droplet and droplet clouds in 
turbulent environment, (ii) effects of surfactant contamination 
and (iii) combustion of fuel droplets in engine-like conditions. 
 
Requirements: Applicants should have a background in mechanical engineering, 
aerospace engineering, chemical engineering, energy and power engineering,
applied mathematics, applied physics, or other related fields.

We seek applicants with a strong foundation in fluid mechanics, 
turbulent flows, multiphase flows, programming skills 
(Fortran, C/C++), familiarity with parallelization and 
high-performance computing and a dedicated, hardworking, 
and eager-to-learn attitude.

Stipend: 35000 TL/month
Fringe Benefits: Dormitory, Health Insurance, Meal Card, Travel support   

Postdoctoral Researcher Position – Bioinspired Complex Flow Sensing
The Flow Physics and Modeling Lab at the Rochester Institute of Technology (RIT) invites applications for a 
Postdoctoral Researcher Position focused on biomimetic flow sensing for complex flow environments, 
inspired by systems such as seal whiskers. We are developing an integrated experimental and 
computational platform to investigate intelligent hydrodynamic sensing based on biological whisker 
mechanisms. We are seeking a motivated individual to join our interdisciplinary team working at the 
intersection of fluid mechanics, biomimetic sensing, and machine learning. 

Key Responsibilities:
•	Lead the design, integration, and operation of experimental platforms to study flow-sensor 
interactions in both canonical and biologically relevant flow conditions. 
•	Design and fabricate bioinspired flow sensors, and develop supporting electronics and data 
acquisition systems.
•	Integrate machine learning approaches (e.g., feature extraction, pattern recognition, reinforcement 
learning) into sensor design, signal interpretation, and underwater trail tracking.
•	
Qualifications:
•	Strong background in experimental fluid mechanics, flow-structure interaction, and complex flow 
analysis.
•	Hands-on experience with motion control systems, flow measurement tools, and experimental 
apparatus design.
•	Proficiency in signal processing, time-series analysis, and system identification.
•	Familiarity with sensors/instrumentation and data acquisition systems.
•	Experience with machine learning frameworks and data-driven modeling

This is a full-time, one-year appointment with the possibility of renewal based on performance and 
funding. To apply, please send your CV, a brief statement of research interests, and contact information for 
at least two references to Prof. Xudong Zheng at xxzeme@rit.edu. Review of applications will begin 
immediately and continue until the position is filled.

Profile and skills required:
----------------------------
Applied mathematics, numerical analysis, fluid mechanics, flow instability, aeroacoustics,
noise radiation, Fortran parallel programming
Due to access restrictions, the applicants should be European citizens.

Presentation of the post-doctoral project, context and objective:
-----------------------------------------------------------------
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, which will also provide experimental data, 
in the frame of a collaborative research program funded by the French Civil Aviation 
Authority.

External collaborations : Airbus Aircraft (Toulouse), Pprime Institute (Poitiers)

Institution: Sirius University of Science and Technology
Location: Sochi, Russia
Application Deadline: 01th November 2025
Start Date: Flexible / As soon as possible / Until 31 January 2026

Position Description:

Biomedical Engineering Laboratory is seeking a highly motivated and talented 
postdoctoral researcher to join our interdisciplinary team. The project is 
related with experimental and numerical evaluation of novel developed implants 
for TAVI (transcatheter aortic valve implantation).

The successful candidate will contribute to pioneering research in computational 
biomechanics with a strong focus to transfer results into clinical practice. 

Responsibilities include developing and maintaining robust numerical models of 
blood flow in aortic valve before and after TAVI treatment and experimental 
validation.

This position offers an exceptional opportunity to work at the intersection of 
computational science, biomechanics, and clinical translation, addressing 
challenges in cardiovascular mini-invasive surgery.

Key Responsibilities:
* Develop numerical models of blood flow simulation using fluid-structure 
interaction.
* Writing papers (Q1/Q2).


Minimum Qualifications:
* Ph.D. in Mechanical Engineering, Biomedical Engineering, 
or related fields.
* Experience in numerical FSI modelling using commercial software (Comsol, 
Ansys, FlowVision etc.).
* Background in experimental studies is a strong plus.
* Good communication skills in English.


Application Instructions:
* Interested applicants should send the following documents to Prof. Alex G. 
Kuchumov (kychymov@inbox.ru).  
* A full curriculum vitae (including a list of publications and a brief summary 
of research experience)
* Contact information of at least two academic referees and reference letters.
* Applications will be reviewed on a rolling basis until the position is filled.

We’re hiring at KIT! The Vacuum Technologies group at the Institute for Technical Physics (Karlsruhe Institute of Technology, http://www.itep.kit.edu/) is looking for experienced researchers to join our team.

Our focus is on simulating rarefied gas dynamics, using methods such as Direct Simulation Monte Carlo (DSMC) and Discrete Velocity Method (DVM). We work at the intersection of physics, engineering, and computational modeling to solve complex flow problems in fusion and vacuum technology applications (and many more..).

If you have experience in rarefied gas dynamics, vacuum systems, or relevant simulation techniques, we’d love to hear from you!

Interested candidates can send an application (CV and motivation letter) to kit.itep.application@gmail.com.

Contact person: Dr. Christos Tantos, Group Leader ITEP-VAK-FCP

We invite applications for a fully funded PhD studentship in the field of 
multiphase turbulent flow dynamics and convective heat transfer, with a 
particular focus on air–particle systems. This project forms a core part of the 
group’s ongoing work on high-temperature energy storage and thermal transport in 
particle-based systems. The aim is to advance fundamental understanding and 
modelling of turbulent air flow interacting with granular particle beds under 
heating and/or expansion conditions. The project will involve computational and 
theoretical studies, with the opportunity for experimental validation in 
collaboration with industrial and academic partners.

Key Research Challenges

•Understanding turbulent structures in multiphase air–particle flows with 
varying particle loading and flow regimes.
•Investigating heat transfer mechanisms including conduction, convection, and 
radiation in fluidised and fixed particle systems.
•Developing and validating high-fidelity CFD or hybrid models (e.g., RANS, LES,  
with Lagrangian particle tracking or Eulerian multiphase solvers).
•Exploring novel techniques such as pulsating flow to enhance convective heat 
transfer and reduce particle agglomeration or flow instability.

Eligibility

We seek a highly motivated individual with:

•A first-class or strong upper-second-class degree (or equivalent) in Mechanical 
Engineering, Aerospace Engineering, Applied Mathematics, Physics, or a related 
field.
•Strong background in fluid mechanics and heat transfer.
•Experience with CFD tools (e.g., OpenFOAM, ANSYS Fluent) or numerical methods.
•Programming skills (e.g., Python, C++, MATLAB).
•Knowledge of multiphase flows or particle-laden turbulence is desirable.

 
Funding is available for both international and home-fee applicants.
 
How to Apply

Before applying through the University of Manchester PhD portal, please send 
your CV to Yasser.Mahmoudilarimi@manchester.ac.uk

PhD scholarship in “Coupling of meso- and micro-scale simulation frameworks for 
renewable energy applications” (expression of interest) – 4 years

Performance and operation of renewable energies are conditional to the actual 
weather conditions, both for energy generation (e.g. wind turbines) or for 
extreme load prevention (e.g. solar farms). Traditional approaches of microscale 
modelling allow to capture the interaction between these assets with idealised 
environmental conditions, i.e. specific wind speed or thermal stratification, 
whilst the atmospheric state is constantly changing. This PhD studentship builds 
on the current experience of the host team on mesoscale modelling with WRF and 
microscale modelling with DOFAS to build a first-of-its-kind mesoscale-driven 
large-eddy simulation framework. Testcases will concern environmental flows both 
onshore (solar photovoltaic farms) and offshore (wind farms). The PhD student 
will engage with world-leading companies in these renewable energy fields to 
contribute to progressing state-of-the-art modelling with real impact into the 
sector. A research stay at the University of Manchester during the PhD will be 
enabled to support ongoing collaborations.

Eligibility:

Candidates must have a 1st or high 2i in a degree, ideally at Masters level, in 
an Engineering subject, Physics, Mathematics, or Atmospheric Sciences. Knowledge 
in fluid mechanics, numerical methods and computational modelling is necessary. 
The student is expected to have prior experience writing codes on Fortran or 
C/C++, and experience on Linux systems. The ideal candidate is expected to have 
a strong interest in renewable energy, be enthusiastic about physics-based 
computational modelling, be able to have a proactive attitude towards problem 
solving independently, and ability to work in multidisciplinary teams.


Funding and host institution:

This is a fully-funded scholarship open to Spanish and overseas students to be 
hosted at CESGA (Galicia Supercomputing Centre) in Santiago de Compostela 
(Spain). During this four-year position, the candidate’s salary will increase 
yearly: year 1 is 21,614€, year 2 is 24,856€, and years 3 and 4 is 26,600€.

CESGA has signed agreements with the Universities of Santiago, Vigo and A Coruña 
that enables the supervision of PhD students by academics at CESGA alone or 
jointly with colleagues at the mentioned universities. CESGA provides a series 
of unique training activities for the future PhD students and post-doctoral 
researchers, which can be combined with development courses provided at the 
associated universities. There is a comprehensive list of available training 
courses align with current European projects such as FF4EUROHPC or EuroCC, 
including: introduction to high-performance computing, introduction to message 
passing interface (MPI), workshop to use Finisterrae III and IV clusters, 
Performance Analysis and Tools, introduction to OpenACC, Crash course on 
heterogeneous systems, heterogeneous programming on GPU with MPI, Introduction 
to CUDA, research data management for Beginners, etc.

How to apply:

This is an expression of interest from potential candidates who align with the 
scope of the scholarship. Interested candidates should send the following 
documents to the PI, Dr Pablo Ouro (pablo.ouro@cesga.es):

· Final Transcript and certificates of all awarded university level 
qualifications.

· Interim Transcript of any university level qualifications in progress.

· CV.

· Supporting statement: A one or two page statement outlining your motivation to 
pursue postgraduate research and why you want to undertake postgraduate research 
at CESGA, any relevant research or work experience, the key findings of your 
previous research experience, and techniques and skills you’ve developed.

· Contact details for two referees (please make sure that the contact email you 
provide is an official university/work email address as we may need to verify 
the reference)

Candidates will be shortlisted for interviews to be held in mid-July. She/he is 
meant to start between 1st September 2025 and 30th October 2025.