Responsibilities
The PhD student will work closely with the world leading experts in screw 
machines under the Chair. The main objective of this project is to develop 
system for monitoring and control of operational clearances in rotating 
machines. It is expected that this project will also explore at least three 
strategies for controlling leakage and clearance gap sizes including: 
employment of surface features, secondary flows and use of smart coatings. The 
student will work closely with PhD2 and PDRF (Postdoctoral Research Fellow. The 
project will be supervised jointly by the Centre for Compressor Technology, 
Centre for Instrumentation at City and Howden.

 
The role is available from January 2021

Person Specification
It is expected that the candidate has a good mathematical background, excellent 
knowledge of thermodynamics and fluid mechanics, excellent knowledge of system 
engineering, has a good skills in using programming languages link C#, Fortran 
or Python. The candidate will be working closely with other participants in the 
project from City and Howden and is expected to have a positive attitude to 
team work, ability to work proactively and independently and has motivation to 
learn and contribute to this project.

For more information follow the link: https://www2.i-
grasp.com/fe/tpl_cityuniversity01.asp?
s=4A515F4E5A565B1A&jobid=116516,3256987812&key=219977662&c=89564836361460&pages
tamp=sefrlyqoespmmtrsqe

Responsibilities
The PhD student will work closely with the world leading experts in modelling 
of rotating machinery under the Chair. The objective is to develop accurate, 
reliable and robust methods for modelling of fluid-solid interaction in 
rotating positive displacement machines and validate these methods with the 
experimental results obtained in the state-of-the-art laboratory within the 
Centre for Compressor Technology and the Thermo-Fluids Research Centre at City 
using PLIF, PIV and infrared thermography. In the second part of the project 
the student will utilize such methods for evaluating concepts for improving 
efficiency and reliability of oil-free rotating positive displacement machines.

Person Specification
It is expected that the candidate has a good mathematical background, excellent 
knowledge of thermodynamics and fluid mechanics, has a good skills in using 
programming languages link C#, Fortran or Python and has previous knowledge and 
experience in CFD. The candidate will be working closely with other 
participants in the project from City and Howden and is expected to have a 
positive attitude to team work, ability to work proactively and independently 
and has motivation to learn and contribute to this project.

Click here for further information: https://www2.i-
grasp.com/fe/tpl_cityuniversity01.asp?
s=4A515F4E5A565B1A&jobid=116515,3489233421&key=219977662&c=89564836361460&pages
tamp=sexsovgbxsvafykuop

Responsibilities
The PhD student will work closely with the world leading experts in modelling of 
rotating machinery under the Chair. The objective is to develop accurate, 
reliable and robust methods for modelling of fluid-solid interaction in rotating 
positive displacement machines and validate these methods with the experimental 
results obtained in the state-of-the-art laboratory within the Centre for 
Compressor Technology and the Thermo-Fluids Research Centre at City using PLIF, 
PIV and infrared thermography. In the second part of the project the student will 
utilize such methods for evaluating concepts for improving efficiency and 
reliability of oil-free rotating positive displacement machines.

Person Specification
It is expected that the candidate has a good mathematical background, excellent 
knowledge of thermodynamics and fluid mechanics, has a good skills in using 
programming languages link C#, Fortran or Python and has previous knowledge and 
experience in CFD. The candidate will be working closely with other participants 
in the project from City and Howden and is expected to have a positive attitude 
to team work, ability to work proactively and independently and has motivation to 
learn and contribute to this project.

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 
study and research of environmental/energy systems mainly focused on micro/nano 
scale heat and mass transfer.  

Applicants should have M.S. degree in Mechanical Engineering, Applied 
Mathematics, Physics, or related fields. Research experience in the field of 
heat and mass transfer is obviously positive, but not necessary.  

The exact salary will be determined later (at least 1,400,000 KRW per month).

TOEFL(PBT 530, CBT 197, iBT 71), IELTS 5.5, CEFR B2, TEPS 600(New TEPS 327) or 
higher results or an equivalent national-level English language certificate is 
required.

※ 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.

Several PhD positions and full graduate research assistantship (GRA) in 
Mechanical Engineering are available in Spring 2021 and Fall 2021 within the 
research group of Dr. Yi Wang at the University of South Carolina-USC 
(Columbia/Main campus, https://yiwangusc.wixsite.com/yiwang). 

1.	Reduced Order Modeling, Machine Learning, and Design Optimization 
for Multiphysics Engineering Systems 
We will investigate and develop reduced order modeling, machine learning, 
and design optimization methods for multiphysics systems for a variety of 
engineering applications, which include but not limited to thermal-fluidics, 
aerospace and aeroservoelasticity, energy materials and management, additive 
manufacturing, and microfluidics & nanofluidics. 

2.	Real-time Computing and Control on Edge Computing
We will investigate and develop real-time control framework, algorithms, and 
cyberphysical systems for a variety of engineering applications on edge 
computing platforms, which include but not limited to energy auditing & 
cybersecurity, multi-fidelity model optimization, and autonomous systems 
(real-time fault detection & mitigation, path planning, and control).

Research efforts will include at least one of the followings
•	Development of reduced order models for multiphysics engineering 
systems
•	Development of data mining, machine learning, and optimization 
algorithms
•	Development of CPU+GPU computing algorithms
•	Development of control framework for various robotic platforms

At least one of the qualifications below is preferred: 
•	Strong background in control theory, linear algebra, and 
computational mathematics and/or mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM) 
•	Hands-on experience with computing in Matlab, C/C++, Python, or 
other object-oriented programming languages
•	Hands-on experience with embedded system and edge-computing modules, 
such as Jetson TX series, Intel NUC, Raspberry Pi, and Arduino. 
•	Strong interest and self-motivation to perform cutting-edge research 
and conquer challenges in real-world engineering and to publish high-impact 
papers

USC is the flagship university in the State of South Carolina, and the Ph.D. 
program at the department of Mechanical Engineering is ranked No. 31 
nationally by the National Research Council (NRC) 
(http://www.me.sc.edu/about/), and the College of Engineering and Computing 
is ranked No. 1 in the State of South Carolina for faculty research 
productivity.  

The group of Dr. Wang focuses on computational and data-enabled science and 
engineering (CDS&E) and its applications in real-world multiphysics systems, 
including micro/nanofluidics, energy management, additive manufacturing, 
aerodynamics & aerospace. CDS&E, recently emerging as a focal point of 
multidisciplinary research has been applied to essentially each phase of 
technology development and industrial engineering, from conceptualization, 
virtual prototyping and design, and automation and control, to final 
verification and validation (V&V). Our group aims to discover and develop 
new methodologies, framework, and capabilities to bridge CDS&E and system 
engineering in the real world and with particular emphasis on multiphysics 
and engineering intelligence. To apply, please send your CV/Resume, 
publications, etc. in a single PDF (for Ph.D. applicants, transcripts, and 
GRE scores are also required) to Dr. Wang (yiwang@cec.sc.edu) with the email 
subject “Position Application”. 

Applications are invited for a research studentship in the field of nuclear thermal hydraulics, leading to the 
award of a PhD degree. The post is supported by a bursary and fees (at the UK/EU student rate) provided by 
Rolls-Royce and by the Department of Mechanical Engineering.

The position is a collaboration between the Department of Mechanical Engineering and Rolls-Royce and is 
open to UK/EU students.

In this project, you will develop the next generation of Computational Fluid Dynamics (CFD) models of boiling 
from the individual bubbles to the large-scale fluid flow of nuclear reactor components.

Understanding the boiling process is of great importance for the design and operation of water-cooled 
nuclear reactors. Both Boiling Water Reactors (BWRs) and Pressurised Water Reactors (PWRs) use nucleate 
boiling under high-pressure subcooled liquid flow conditions to achieve high surface heat fluxes required for 
their operation. The formation of steam bubbles on the heated surface of nuclear fuel rods typical of these 
boiling flows is the key thermal hydraulic aspect of both BWR and PWR designs. Conventional CFD tools for 
modelling boiling in nuclear fuel channels rely on crude treatments of the heat transfer modes associated to 
the generation of steam bubbles at a surface, which is the main source of error in reactor thermal analysis 
and limits the amount of power that can be extracted from a nuclear plant. On the other hand, modern, 
fundamental Interface Capturing techniques allow us to compute directly the heat flux due to the formation of 
steam bubbles: the power of such methods enables simulation of boiling from first principles in any operating 
conditions.

Numerical model development is at the core of your PhD work, during which you will develop novel 
techniques for Interface Capturing simulation of boiling and apply the new methods to boiling flows typical of 
nuclear reactor operation. You will collaborate with partners of the UTC at MIT (USA) for experimental 
validation of your simulations. You will engage with co-workers at Paul Scherrer Institute (Switzerland) for 
numerical model development and testing.

You will be an enthusiastic and self-motivated person who meets the academic requirements for enrolment 
for the PhD degree at Imperial College London. The successful candidate holds a MSc or equivalent degree in 
engineering, physics or mathematics. Essential requirements are a basic understanding of computational 
mechanics, good knowledge of at least one programming language, and some experience with CFD 
simulation tools (e.g. codes STAR-CCM+, ANSYS Fluent, OpenFOAM).

To find out more about research at Imperial College London in this area, go to:

http://www3.imperial.ac.uk/mechanicalengineering

For information on how to apply, go to:

http://www.imperial.ac.uk/mechanical-engineering/study/phd/how-to-apply/

For further details of the post contact Dr Giovanni Giustini  g.giustini12@imperial.ac.uk. 
Interested applicants should send an up-to-date curriculum vitae to Dr Giovanni Giustini. Suitable candidates 
will be required to complete an electronic application form at Imperial College London in order for their 
qualifications to be addressed by College Registry.

Closing date: until post filled

招聘岗位：华中科技大学机械学院流控系博士后（2-3年）
招聘条件：
1. 有界面流体或浮力流的仿真模拟经历、理论基础或实验能力，对从事科学研究感兴趣，能
独立、高效地开展科研工作；
2. 在流体力学领域的权威SCI期刊上，以第一或通讯作者发表了学术论文；
3. 研究方向可适当放宽，详情可以商议；
4. 中国国籍（Only Chinese will be considered）。

岗位待遇：
1. 年薪约20万元人民币，聘期2-3年。
2. 子女入托、中小学入学等享受校内职工同等待遇（华科幼儿园及附小均为本地区重点）；
单位为博士后提供博士后公寓或租房补贴（每月约1000元）。

如果您对本岗位感兴趣，请将个人简历、所发表论文电子版、博士后研究工作初步计划及预期
成果等电子材料通过email发送至电子邮箱xpzhou08@hust.edu.cn。
本课题组期待您的加入！

A post-doctoral position in Computational Fluid Dynamics is available at the 
University of Louvain (UCLouvain) in Belgium. The topic concerns turbulent 
convection with phase change (evaporation across the free surface of open-top reservoirs plus boiling) and has many interesting applications in the industry and the environment. 

The specific objectives of the project are the following.
1)  Development of appropriate models that describe all relevant hydrodynamic and transport phenomena occurring below and above the free surface.
2)  Development of algorithms and numerical simulations, via high-performance computing.
3)  Calculation of phase-change rates for a variety of configurations.

Particular emphasis will be given in the modelling and simulation of:  
•  turbulent convection at high Rayleigh numbers,
•  evaporation across the free surface,
•  nucleation and boiling at solid boundaries,
•  descent of the free surface. 

The initial duration of the appointment is for 12 months,  renewable twice for a period of 12 months each. Therefore, the overall duration can be up to 36 months. 

The postdoctoral fellow will join the Multi-phase and Reacting Flows group of 
the University of Louvain. Information about our group's activities is available 
on our website, https://sites.google.com/site/mvpapalexandris/

The postdoctoral fellowship includes the fellow’s salary, full insurance and 
health benefits, public-transportation cost and coverage of expenses for 
participation in conferences & workshops.

Required qualifications and skills:
- a PhD degree with in the thematic area of modeling and simulation of fluid flows. Background and expertise in two-phase and/or turbulent flows is highly desirable.
- good programming skills (in C/C++ or Fortran),
- strong mathematical background,
- ability to efficiently communicate, read and write in English.

Interested applicants are invited to submit: 
- detailed CV, 
- a statement of research interests, and 
- names of 2 references 
to Prof. M. Papalexandris, miltiadis.papalexandris@uclouvain.be

After review of the received application, a request for an online interview will be send to candidates if their expertise and skills match the position requirements.

We are in search of motivated students to join our group for Spring 2021 
(January 2021) or Fall 2021 (August 2021) in pursuit of research in one of the 
following areas: 

Reduced order modeling (ROM)
Large eddy simulations (LES)
Machine learning (ML)
Data assimilation (DA)
Uncertainty quantification (UQ)
Digital twins (DT)

Several fully-funded graduate research assistantship (RA) positions are 
available for PhD students (NSF and DOE funded). I might help finding fully 
funded teaching assistanship (TA) positions within MAE for MS and PhD 
applicants as well (MAE requires having a TOEFL speaking score of S>23 or IELTS 
speaking score S>7 for TA appointments). GRE is required for applications.
Both RA and TA appointments include full tuition waiver. 

If interested in, please send an email to me. 

Information on MAE graduate program admissions can be found:
https://mae.okstate.edu/content/graduate-program-admissions

Applications for Spring 2021 (January 2021) are welcome until November. 

More info about our recent activities can be found:
www.cfdlab.org

Best wishes,
Omer San