A fully funded PhD Scholarship is available for truly outstanding candidates to work on a project at The University of Melbourne (UoM) in collaboration with Boeing Australia. This innovative Boeing aerospace project seeks PhD candidates interested in Fluid Dynamics / Propulsion / Machine Learning
The projects provide an opportunity to be part of a PhD programme at a leading research institution, working collaboratively with UoM and Boeing supervisors on research with commercial impact. This research alliance scheme pairs students with an Advisory team that includes UoM and Boeing Supervisors, as well as a generous scholarship package.
Boeing is the world's largest aerospace company and manufacturer of commercial airplanes and defence, space and security systems.  If you love modern flying and space machines and are inspired to build the next generation of air and space vehicles, you should consider joining us!
UoM is ranked #33 in the World according to 2023 QS World University Rankings, so your UoM PhD will be highly regarded wherever your career takes you. 
Imagine, your PhD work contributing towards a range of aerospace manufacturing programs, including one of most exciting aircraft projects in recent Australian aerospace history – the first military combat aircraft in 50 years to be designed, built and manufactured in Australia.

Project description

As an industry sponsored PhD program, we aim to achieve not only academic excellence, but also significant advances to real-world products, for example, to enable design of engine intakes that allow for safe and efficient operation of the propulsion system. Current numerical design tools cannot reliably predict flow behaviour in such intakes and thus time-consuming and costly testing is required. This project envisions the development of the next generation of design tools that can improve predictive accuracy and thus reduce the amount of physical testing needed, thus accelerating technology development. Novel machine learning techniques will be integrated with computational fluid dynamics in order to create novel physics-informed models to be used for intake design. 
In another project, we envision the development of an approach to augment engine thrust for a short time.
To achieve the above visions, an interdisciplinary approach will be required combining research threads in: 
•	Propulsion
•	Computational Fluid Dynamics,
•	Machine learning, and
•	Design optimization
The successful candidates will work in an industry/academic team and also individually to architect, develop and physically prototype a holistic system for industry use.

About you

This project would suit someone interested in academic research in the areas of Fluid Dynamics, CFD, Machine Learning, or other relevant fields. If you have also worked in industry, you would be highly competitive to take on this challenge.
We are seeking a PhD candidate with the following skills:
•	Demonstrated research experience in the field of Aeronautics and Astronautics, Mechanical Engineering, or Applied Mathematics.
•	Demonstrated ability to work independently and as part of the team.
•	Demonstrated time and project management skills.
•	Demonstrated ability to write research reports or other publications to a publishable standard (even if not published to date).

Eligibility

To be eligible, you must:
•	be nominated by the Advisory team and enrolling school or institute at UoM
•	be assessed by the Graduate School as meeting all conditions for admission to the higher degree by research program and be competitive for scholarship.
•	obtain security clearance from Boeing as part of the application process

We are firmly committed to the principles of Diversity and Inclusion, and all applications will be evaluated relative to prior opportunities. Workplace accommodations for people with a disability can be raised prior to the application through a direct email to the supervisors or discussed with short-listed candidates during the interview phase. Candidates from underrepresented groups are particularly encouraged to apply.

There is an open position for a Ph.D student in Heat and Mass Transfer Control 
Lab at Gyeongsang National University. Heat and Mass Transfer Control Lab 
welcomes highly motivated students with sound understanding of fundamentals, 
interests in both numerical simulations and experiments, and passions in the 
interdisciplinary research of environmental/energy systems mainly focused on 
heat and mass transfer. 

1. Applicant should have M.S. degree in a field related to the following 
research topics.
- measurement of heat and mass transfer
- thermal design of heat and mass transfer devices
- exploration of mechanisms controlling heat and mass transfer properties  

2. Applicant should have published at least one first-authored article in Q1/Q2-
level SCI(E) journal since 2020.

3. (must-check for Iranian students) Applicants should be OK with the list 
provided by Iranian Ministry of Science 
(http://grad.saorg.ir/%D8%AF%D8%A7%D9%86%D8%B4-
%D8%A2%D9%85%D9%88%D8%AE%D8%AA%DA%AF%D8%A7%D9%86-
%D8%AE%D8%A7%D8%B1%D8%AC/%D8%B3%D8%B7%D8%AD-%D8%A8%D9%86%D8%AF%DB%8C-
%D8%AF%D8%A7%D9%86%D8%B4%DA%AF%D8%A7%D9%87-%D9%87%D8%A7%DB%8C-
%D8%AE%D8%A7%D8%B1%D8%AC-%D8%A7%D8%B2-
%DA%A9%D8%B4%D9%88%D8%B1/%D8%B3%D8%B7%D8%AD%D8%A8%D9%86%D8%AF%DB%8C-
%D8%AF%D8%A7%D9%86%D8%B4%DA%AF%D8%A7%D9%87%D9%87%D8%A7%DB%8C-%D8%A8%D8%B9%D8%AF-
%D8%A7%D8%B2-%D8%B3%D9%BE%D8%AA%D8%A7%D9%85%D8%A8%D8%B12021/South-Korea-2021). 
To be honest, the rankings seem somewhat different from the actual rankings in 
Korea. In the case of graduate programs, it is very important in Korea whether 
the department receives the BK21 program support, and considering that, I think 
it makes no sense that our department is missing from the rankings.

4. Applicant should have an English language certificate (issued after November 
1, 2020) with TOEFL(PBT 530, CBT 197, iBT 71), IELTS 5.5, CEFR B2, TEPS 600(New 
TEPS 327) or higher results.
※ Note: English language requirement is waived for an applicant from the 
following countries where English is used as the native or an official language 
(Ref. Department of Foreign Affairs in Korea: www.mofat.go.kr): New Zealand, 
Singapore, India, Philippines, Australia, United States of America, Jamaica, 
United Kingdom, Ireland, Canada, etc.

5. The exact salary will be determined later (at least 1,900,000 KRW per month).

6. Interested students should send the followings to prof. Duckjong Kim 
(dkim@gnu.ac.kr). 
- Curriculum Vitae (with publication list)
- English language certificate (issued after November 1, 2020)
- Academic Transcripts

Applications are invited for a Postdoctoral Position in Modeling for Complex 
Systems, with a focus on the areas specified at the website given below. The 
successful candidate will be part of the research program in mathematical modeling 
and computational & data sciences at the Laurier M3AI Lab and MS2Discovery 
Institute in Waterloo, Canada. Further information about the position and how to 
apply can be found at the following website:

https://m3ai.wlu.ca/research/current-openings.html

The position is available from January 3, 2023. The review of applications will 
begin immediately and continue until the position is filled.

Applications are invited for a Postdoctoral Position in Modeling for Complex 
Systems, with a focus on the areas specified at the website given below. The 
successful candidate will be part of the research program in mathematical modeling 
and computational & data sciences at the Laurier M3AI Lab and MS2Discovery 
Institute in Waterloo, Canada. Further information about the position and how to 
apply can be found at the following website:

https://m3ai.wlu.ca/research/current-openings.html

The position is available from January 3, 2023. The review of applications will 
begin immediately and continue until the position is filled.

The Chair of Energy Plant Technology in the Faculty of Mechanical
Engineering at the Ruhr University Bochum (LEAT) is among the leading
research groups in Germany in the field of numerical modelling and
simulation of reactive particle systems for process industry or energy
conversion systems.

Your tasks:
• Within a large-scale collaborative project funded by the
German Science Foundation called BULK-REACTION
(https://bulk-reaction.de/) the details of the chemical
reaction and movement in agitated packed beds is
examined by multi-phase numerical simulations.

• High-fidelity simulations of experimental configurations
with an in-house DEM/CFD code have to be performed.

• Models for particle and gas phase reaction shall be
developed and integrated in the code.

Your profile:
• The ideal candidate will hold a Master (or PhD) in Engineering, Physics
or Mathematics and has a prior knowledge of the modelling of particle
systems, fluid mechanics and C++ programming.

• Required are especially a proved experience (at Master or PhD level) in
at least one of the two following fields:

  • Discrete Element Modelling of particle systems
  • Computational Fluid Dynamics simulations of reactive flows with
    OpenFOAM

• Knowledge of the English language in word and writing is required
(TOEFEL & GRI Records required)

• Mastering of or willingness to learn the German language (C1 proficiency
level would be ideal), ability to work in a dynamic and motivated team are
considered very valuable assets

Additional information:

If the position is funded by third-party funds the employee has no teaching
obligation.

At the request of the applicant (m,f,x), the staff council may be involved in
selection interviews.

Enquiries and applications are to be sent in electronic form (single PDF
document including CV, full transcripts of university records and the name
and contact details of three referees).

IMPORTANT NOTICE:
receipt of your application will only be acknowledged after the application
closing date.

Contact details for your application:
Herr Prof. Dr.-Ing. Viktor Scherer, Phone: +49 234 32 26328

Travel expenses for interviews cannot be refunded.

For information on the collection of personal data in the application process
see: https://www.ruhr-uni-bochum.de/en/information-collection-personaldata-
application-process.

We are looking forward to receiving your application with the
specification ANR: 1139 until 17/10/2022, sent by e-mail to the following
address: scherer@leat.rub.de

Positions Description

The Flow Dynamics and Turbulence Laboratory (FDT Lab) at the Department of Mechanical Engineering of the University of Texas at Dallas (UT Dallas) is seeking motivated M.S. and Ph.D. students to start in the Spring, Summer, and Fall of 2023. These positions focus on turbulent air-sea interaction processes and flow physics above/‌below ocean surface waves and are primarily based on laboratory measurements. The prospective students will conduct fundamental research to (1) study the turbulence above wind waves, (2) examine the interactions between wind turbines and surface waves, and (3) develop numerical models for air-sea fluxes in high wind conditions.

Required Qualifications

• Bachelor of Science in Mechanical Engineering, Civil Engineering, Ocean Engineering, or an equivalent terminal degree by the date of hire.
• Proficient in at least one of the programming languages, such as MATLAB or Python.
• Research interests in fluid dynamics, turbulence, turbulent boundary layer flows, air-sea interactions, free surface processes, and surface gravity waves.
• Capability to work independently and as part of a team with excellent interpersonal, written, and oral communication skills.

Preferred Qualifications

• Master of Science in Mechanical Engineering, Civil Engineering, Ocean Engineering, or an equivalent terminal degree by the date of hire.
• Demonstrated experience working with LabVIEW and data acquisition (DAQ) systems.
• Prior experience working with particle image velocimetry (PIV) or other flow visualization techniques.
• Research experience with a record of peer-reviewed publications in fluid dynamics, turbulence, turbulent boundary layer flows, air-sea interactions, free surface processes, and/or surface gravity waves.

Application Instructions

Interested applicants should meet the minimum admission requirements of the Office of Graduate Education and the Department of Mechanical Engineering. Qualified candidates are encouraged to apply to UT Dallas and email the PI, Dr. Kianoosh Yousefi, at kyousefi@utdallas.edu with their CV, unofficial transcripts, and 1‑page research statement that briefly discusses their research interests, experience, and future work they intend to complete. Prior to contacting the PI, you are also advised to read the FDT Lab participation manual and recent publications to ensure the PI's mentoring and research philosophies are truly in line with your passions. Please note due to the large volume of incoming applications, only those selected for further consideration will be contacted back.

About UT Dallas and Dallas‒Fort Worth Area

Located in the heart of the 4th largest metropolitan area of the nation, UT Dallas enrolls over 30,000 students. UT Dallas is among the top universities in the country and highly ranked in value, ethnic diversity, and low student debt, based on the US News & World Report. The Department of Mechanical Engineering at UT Dallas was founded in 2008, offers B.S., M.S., and Ph.D. degrees, and, according to US News & World Report, is ranked third in Texas. The department is home to more than 1,100 undergraduate students, 200 graduate students, and 34 faculty. It is also home to a unique Boundary Layer and Subsonic Wind Tunnel (BLAST) for renewable energy research and supports UTD Wind and WindSTAR research centers.

The Dallas‒Fort Worth Metroplex is one of the nation’s largest urban areas, with shopping, entertainment venues, museums, art galleries, and places for outdoor running, biking, hiking, and skating. Foreign Policy magazine named Dallas one of only five US cities in the top 25 in its projection of the most dynamic cities in the world in 2025.

Equal Employment Opportunity

The University of Texas at Dallas, Department of Mechanical Engineering, and FDT Lab are all committed to providing an educational and working environment that is welcoming, respectful, and inclusive of all members of the university community. The University prohibits unlawful discrimination against a person because of their race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, or veteran status.

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Ph.D. students. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A full-time Ph.D. student position is available. The research 
will involve investigation of iron-air turbulent flames. 

Required Qualifications
• An M.Sc. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

The Combustion and Energy Lab (CandEL) of the School of Mechanical Engineering, 
Tel Aviv University, Israel, is looking for motivated and enthusiastic 
Postdoctoral Fellows. The research group is led by Dr. Yoram Kozak and deals 
with the fields of Combustion, Computational Fluid Dynamics (CFD), and Energy 
Systems. 

See the following website for examples: https://www.yoramkozak.sites.tau.ac.il

A two-year full-time Postdoctoral Researcher position is available. The research 
will involve investigation of iron-air turbulent flames. 

Required Qualifications
• A Ph.D. in Mechanical Engineering, Aerospace Engineering, Chemical 
Engineering, or any other relevant field.
• A candidate must have received their doctoral degree within five years prior 
to the start of the fellowship. 
• Past experience in Computational Fluid Dynamics (CFD). 
• Excellent programming skills.
• Extensive knowledge in code and numerical scheme development. 

Interested candidates should send their CV and a detailed cover letter to: 
kozaky@tauex.tau.ac.il

Job Description:
- Research area: Droplet, Phase change and Fluid-structure interaction
- Position: Postdoctoral Fellowship
- Contract duration: up to 3 years

Mandatory qualifications:
- PhD degree in engineering, applied mathematics, physics, or related field
- Strong background in heat and mass transfer, phase change, and droplet wetting 
and evaporation dynamics
- Experiences in fluid-structure interaction
- Excellent computational skills in CFD programming (C++ and the lattice 
Boltzmann method preferred)

Preferred skills and experiences:
- Hands-on experimental experiences
- Excellent written and oral communication skills
- Good publication record

How to apply:
Please send an email to
Dr Chenglei Wang (chenglei.wang@polyu.edu.hk) and Prof. Fei Duan 
(feiduan@ntu.edu.sg) with the following included:
- Detailed CV with publication list
- Cover letter
- Contact information of two references

Starting date: Around January 2023

Deadline to apply: until the position is fulfilled