Two postdoctoral positions are available at the State Key Laboratory of Nonlinear Mechanics, Institute of 
Mechanics, Chinese Academy of Sciences in the following areas: 1) computational methods and 
aerodynamics for air vehicles under gusty inflow, 2) wake identification and control. 

Applicants should hold a PhD in related fields. A strong background in computational fluid dynamics and 
machine learning methods is preferred. 

Please send your CV, and copies of no more than three representative publications to the following email 
address:  xyang@imech.ac.cn. 

The annual salary is 300,000 CNY (negotiable for exceptional candidates). 

The group information can be found at the following links: https://people.ucas.edu.cn/~yanglab4. 

An exciting opportunity is now available for a PhD candidate to undertake a 
research project on a future, low-emission ironmaking technology – the Electric 
Smelting Furnace (ESF). Based at the University of Wollongong (UOW) in the 
School of Mechanical, Materials, Mechatronic and Biomedical Engineering.

The specific research aim is to develop and validate computational fluid dynamic 
models to simulate and better understand operating conditions in the ESF. The 
research is part of the ESF program which includes complex physical experiments 
and numerical studies. The PhD candidate will work within a team of UOW 
investigators and their industrial partner investigators, and be trained to 
undertake high-quality, cutting-edge numerical modelling of multi-phase and 
multi-physics phenomena in the ESF.  

There will be ample opportunity for the PhD candidate to work in both industrial 
and academic environments, and hence, develop industry-related project 
management skills. The professional training and personal development through 
this project and the university’s overall mentoring scheme, will help prepare 
the candidate for a career in academia or industry.

Selection criteria
Essential
• Academic qualification. Applicants should hold an honours (or equivalent) 
undergraduate degree, or a Masters degree, in a closely related discipline, or 
the equivalent combination of professional experience and academic 
qualifications
• High level written and verbal communication skills in English, presenting 
research work and outcomes to both the industrial and academic communities
Highly Desirable
• Knowledge in either CFD, metallurgical process, or numerical process 
simulation
• Experience in one or more areas: numerical analysis, fluid dynamics, 
computational methods, materials engineering, or thermo-physics.
• Good computer skill, and ability to work collaboratively as part of a multi-
disciplinary team
• (Desirable but not essential) Familiarity with CFD software or CFD programming

Scholarship amount: Successful candidates will receive a tax-free stipend of 
$AUD 45,000 per annum for the duration of the award.

Duration: 3.5 years.

Application process
• Applicants should submit a cover letter detailing relevant experience and 
research interest; CV with names and addresses of two referees; and academic 
transcripts.
• We seek applicants from diverse backgrounds, reflecting all facets of prior 
experience or history.
• The EOI should be sent via email to xuefeng@uow.edu.au AND rayl@uow.edu.au.

Application closing date: The position will close once the appropriate candidate 
has been recruited.

Job Description: Research Associate in Fluid Topology Optimization of Compact Heat Exchangers

Position Overview:

We are seeking a highly motivated and skilled Research Assistant to join our interdisciplinary research team at King's College London. The successful candidate will contribute to a pioneering project aimed at revolutionizing the design and manufacturing of compact heat exchangers. The research will focus on leveraging additive manufacturing, high-fidelity Computational Fluid Dynamics (CFD) simulations, and fluid topology optimization to enhance the thermal performance and efficiency of heat exchangers across various engineering applications.

Responsibilities:

1. Conducting extensive literature reviews on additive manufacturing technologies, fluid topology optimization, high-fidelity CFD simulations, and compact heat exchangers to inform research objectives and methodologies.
2. Collaborating with the research team to develop an integration framework that seamlessly combines additive manufacturing capabilities, high-fidelity CFD simulations, and fluid topology optimization algorithms.
3. Utilizing the developed framework to investigate and optimize heat exchanger designs, with a focus on maximizing thermal performance, reducing pressure drop, and minimizing size and weight.
4. Designing and conducting experiments using flow measurement/visualization rigs to validate simulation results and assess real-world performance of optimized heat exchanger designs.
5. Analyzing data, interpreting results, and contributing to the dissemination of research findings through publications, presentations, and reports.
6. Adhering to project timelines and milestones, and collaborating effectively with team members to achieve research objectives.

Qualifications:

• A Master's degree or equivalent in Mechanical Engineering, Aerospace Engineering, Computational Sciences, or a related field.
• Strong background in Computational Fluid Dynamics (CFD), fluid mechanics, and heat transfer.
• Proficiency in programming languages such as Python, MATLAB, or C++.
• Experience with additive manufacturing technologies and CAD software.
• Excellent analytical and problem-solving skills, with the ability to work both independently and collaboratively in a research team.
• Effective communication skills, with the ability to present complex technical concepts clearly and concisely.

Duration:

This is a full-time position for the duration of the research project, with an initial appointment period of 3 years and the possibility of extension based on performance and funding availability.

Application Process:

Interested candidates should submit a detailed curriculum vitae (CV), a cover letter outlining their research interests and relevant experience, and contact information for at least two references to Dr. Richard Jefferson-Loveday (richard.jefferson- loveday@kcl.ac.uk), and to Dr. Juan Li (juan.li@kcl.ac.uk). Review of applications will begin immediately and will continue until the position is filled.

Equal Opportunity Statement:

King's College London is committed to diversity, equity, and inclusion, and encourages applications from individuals of all backgrounds and identities. We are dedicated to creating a welcoming and inclusive environment where all members of our community can thrive.

Job description - R3606959 Working Student - Compressor Inclement Weather

Summary:
In the framework of Catalyst engine certification process a number of numerical 
analyses are being carried out in order to predict inclement weather threats for 
the engine - such as icing, rain, hail or other particle matter ingestion. 
The Aerodynamics team at GEA Munich is looking for a student who will be 
responsible for the numerical modeling of the inclement weather threats. 
The student will furthermore support the planning, execution and presentation of 
the project. 
The task is envisioned to have a duration of 6 months.
The work will involve the setup of complex numerical models (particle tracking 
in Ansys CFX), results post-processing, as well as interpretation of multi-phase 
CFD data. 

Your specific responsibilities will include: 
perform and interpret numerical simulations; 
participate in and present during technical reviews; 
work on the task with the support of members of the Aerodynamics team and under 
supervision of a dedicated mentor.

Desired qualifications include:
• Good understanding of the physics and principles associated with 
turbomachinery aerodynamics.
• Proven track record in delivering on complex programs and ability to work in 
crossfunctional global team in multi-cultural environments.
• Demonstrated ability to advance the technology state of the art and ability to 
generate innovative solutions.
• Fluency in English.

Are you interested in this position? 
Please send your application in German or English with the relevant documents to 
Mr. Steffen Jebauer (Steffen.Jebauer@ge.com) and to Mr. Andrea Milli 
(andrea.milli@ge.com).

Job Description: Research Scientist in Aero-Acoustics and Computational Fluid 
Dynamics (CFD)

Aviation noise pollution has emerged as a pressing environmental concern, 
ranking as the second-largest cause of health issues in Europe following air 
pollution. 
With the continued expansion of air traffic, mitigating aviation noise has 
become imperative for societal well-being. 
Consequently, noise considerations have gained prominence in the certification 
process for new civil aircraft and future urban unmanned air vehicles (UAVs).

Aviation noise predominantly originates from unsteady turbulent flows. 
Existing noise reduction technologies often focus on noise absorption rather 
than addressing its root cause, resulting in inefficiencies. 
One promising avenue for noise reduction at the source involves the 
implementation of serrated edges on jet nozzles or airfoil leading/trailing 
edges, which has demonstrated efficacy in noise reduction. 
However, the design process for such configurations remains largely empirical 
and reliant on costly experimental testing, due to incomplete understanding of 
the mechanisms governing turbulence noise generation.

In this project, we aim to leverage high-fidelity Computational Fluid Dynamics 
(CFD) to elucidate the intricacies of noise generation processes in unsteady 
turbulent flows. 
We will employ a data-driven approach to unravel the dynamics of noise 
generation and inform the development of low-order models, thereby facilitating 
optimal control strategies for noise emission reduction. 
While the initial focus will be on jet noise, the methodologies developed in 
this project will be adaptable to a wide range of aero-acoustic problems.

Key Objectives:
- Utilize high-fidelity CFD simulations to elucidate the mechanisms governing 
noise generation in unsteady turbulent flows, with a focus on aviation 
applications.
- Develop data-driven methodologies to unravel noise-generation dynamics and 
inform the development of low-order models for noise reduction optimization.
- Collaborate with interdisciplinary teams to translate research findings into 
practical solutions for noise mitigation in aviation and other aero-acoustic 
domains.

Qualifications:
- Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related field, 
with a focus on aero-acoustics, computational fluid dynamics, or turbulence 
modeling.
- Demonstrated expertise in high-fidelity CFD simulations, turbulence modeling, 
and numerical methods.
- Proficiency in programming languages such as Python, MATLAB, or C++ for data 
analysis and algorithm development.
- Strong analytical skills and a keen interest in tackling complex aero-acoustic 
problems.
- Ability to work collaboratively in a multidisciplinary research environment 
and communicate technical concepts effectively.

Application Process:
Interested candidates should submit a detailed curriculum vitae (CV), a cover 
letter outlining their research experience and interests, and contact 
information for at least two references to Mr. Anand Sudhi (a.sudhi@tu-
braunschweig.de) and Dr. Camli Badrya (cbadrya@ucdavis.edu).

Equal Opportunity Statement:
We are committed to promoting diversity, equity, and inclusion in our research 
community and encourage applications from individuals of all backgrounds and 
identities. 
We strive to create an inclusive environment where all members can contribute to 
advancing knowledge and innovation in aero-acoustics research.

Job Description: Research Engineer for 3D Topology Optimization in Multi-physics 
Problems

Topology optimization stands as a paramount engineering design methodology, 
surpassing conventional shape and size optimization by theoretically generating 
optimal structures de novo. 
The burgeoning interest in applying topology optimization across various 
industries underscores its significance in addressing diverse design challenges. 
This project endeavors to pioneer a technological breakthrough by developing a 
platform for high-fidelity, high-resolution, and robust 3D topology optimization 
tailored for multi-physics phenomena, encompassing thermofluid dynamics and 
fluid-structure interaction.

Key Objectives:
- Spearheading the development of a cutting-edge technology for 3D topology 
optimization capable of addressing multi-physics problems.
- Harnessing expertise in computational fluid dynamics (CFD) code development, 
optimization techniques, and leveraging high-performance computing (HPC) 
resources.

Responsibilities:
- Collaborating with interdisciplinary teams to conceptualize and implement 
advanced algorithms for 3D topology optimization.
- Conducting thorough research and development to enhance the fidelity, 
resolution, and robustness of the optimization framework.
- Contributing to the integration of multi-physics simulations, particularly in 
thermofluid dynamics and fluid-structure interaction, into the optimization 
process.
- Validating and benchmarking the developed methodologies through rigorous 
testing and comparison with existing approaches.
- Disseminating research findings through peer-reviewed publications and 
presentations at academic conferences.

Qualifications:
- Master of Science (MSc.) degree in Aerospace Engineering, Mechanical 
Engineering, or a closely related field.
- Demonstrated experience in CFD code development, optimization algorithms, and 
proficiency in high-performance computing.
- Strong analytical skills and a keen interest in tackling complex engineering 
problems.
- Ability to work collaboratively in a multidisciplinary research environment 
and communicate technical concepts effectively.

Application Process:
Interested candidates should submit a comprehensive curriculum vitae (CV), a 
cover letter outlining their relevant experience and research interests, and 
contact information for at least two references to Anadika Paul Baghel 
(a.baghel@tu-braunschweig.de) and Inken Knop (i.knop@tu-braunschweig.de).

Equal Opportunity Statement:
We are committed to fostering diversity, equity, and inclusion in our research 
community and encourage applications from individuals of all backgrounds and 
identities. 
We aim to create an inclusive environment where all members can thrive and 
contribute to cutting-edge research initiatives. 

Job Description: Research Associate for the CFD-Wind Energy Project, NG/2404

The Esslingen University of Applied Sciences is seeking a Research Associate for 
an immediate position within a wind energy research project at the Faculty of 
Applied Natural Sciences, Energy, and Building Technology, located at the 
Esslingen Campus.

The global advancement of wind energy as a renewable and environmentally 
friendly source of power is underway. 
Increasingly, hilly, mountainous, and forested areas are being tapped for wind 
energy generation. 
Due to orography and land use, these areas often exhibit heterogeneous wind 
flows coupled with high turbulence. 
Thus, identifying suitable locations becomes a challenging task, demanding 
innovative simulation methods for the detailed characterization of meso- and 
micro-scale flow phenomena within the atmospheric boundary layer.

Our Conditions:
- Remuneration will be in accordance with the assigned duties and personal 
qualifications, up to Salary Group 13 TV‑L.
- Employment volume may be up to 100%.
- The position is initially limited until July 31, 2027.

Your Responsibilities:
- Development and implementation of numerical fluid flow simulation models (CFD) 
to describe fluid mechanics and thermodynamic phenomena within the atmospheric 
boundary layer, considering orography and land use.
- Participation in a research project funded by the Federal Ministry for 
Economic Affairs and Climate Action (BMWK), aimed at submitting a doctoral 
thesis.
- Publication of research findings in peer-reviewed journals and presentation at 
scientific conferences.

Your Profile:
- Master's degree in Engineering or Physics.
- Enthusiasm for academic research in the field of wind energy.
- Ability to work independently on innovative topics.
- Strong interest in collaborating with other research groups in an 
interdisciplinary project.
- Solid knowledge of fluid mechanics and thermodynamics.
- Proficiency in CFD, preferably with OpenFOAM.
- Additional knowledge of the Linux operating system and programming languages 
such as Python, C, or C++ is desirable.

Application Process:
Interested candidates should submit a detailed curriculum vitae (CV), a cover 
letter outlining their research interests and relevant experience, and contact 
information for at least two references to Prof. Dr. Hermann Knaus 
(hermann.knaus@hs-esslingen.de), and to Prof. Dr.-Ing. Rainer Stauch 
(rainer.stauch@hs-esslingen.de). 
Review of applications will begin immediately and will continue until the 
position is filled.

Equal Opportunity Statement:
The Esslingen University of Applied Sciences is committed to diversity, equity, 
and inclusion, and encourages applications from individuals of all backgrounds 
and identities. 
We are dedicated to creating a welcoming and inclusive environment where all 
members of our community can thrive.

Applications are invited for a project scientist position at IIT Delhi Center of 
Excellence in climate modeling, sponsored by DST India. The goal of the project 
will be to improve convective schemes in General Circulation Models (GCMs). 

Minimum qualifications for the position are: B.Tech with GATE qualification or 
M.Sc. with NET qualification. M.Tech./Ph.D. degree and publications in reputed 
international journals is desirable. 

Pay scale: According to IIT Delhi and DST norms. Duration: Initially for 3 
months (casual basis), and then for 1 year. Starting: May 2024

The candidate should have a strong academic background in fluid mechanics, 
thermdynamics, computational fluid dynamics, and machine learning. The candidate 
should be comfortable with carrying out theoretical analysis involving advanced 
engineering mathematics. The candidate should have demonstrated excellent coding 
skills in CFD (e.g. in C/C++/Fortran etc.) in the past, and should be 
comfortable with working/modifying open source packages (e.g. OpenFOAM/WRF 
etc.). Knowledge of atmospheric science and experience with parallel computing 
on high performance computing setups is desirable.       

Interested candidates who meet the minimum qualifications may email their CV and 
any other relevant documents (e.g. links to thesis, papers, reports)  to Prof. 
Amitabh Bhattacharya (bhattach@iitd.ac.in) and Prof. Vamsi K. Chalamala 
(vchalama@am.iitd.ac.in), department of Applied Mechanics, IIT Delhi.  

PhD position within fire safety and fire development in buildings with wooden surfaces.

The project work will have emphasis on computational work, i.e., investigations using CFD and development of submodels.  It will include collaboration and participation in experimental work. Close collaboration and communication with relevant actors in the FRIC network are required to optimize the impact of the work in the relevant areas. The exact problem specification will be made in cooperation with the supervisors.

Announcement with details:
https://www.jobbnorge.no/en/available-jobs/job/262763/phd-candidate-in-fire-safety-and-fire-development-in-buildings-with-wooden-surfaces

Applications have to be uploaded via this link.