PhD and post-doc positions in Mechanical Engineering are immediately 
available within the research group of Dr. Yi Wang at the University of 
South Carolina-USC (Columbia/Main campus, 
https://yiwangusc.wixsite.com/yiwang). 

Numerical Modeling and Computation for Multiphysics Engineering Systems 
Design
We will investigate reduced order modeling and computational methodology for 
simulation analysis and design of multiphysics systems for a variety of 
engineering applications, which include but not limited to aerospace and 
aeroservoelasticity, energy materials and management, additive 
manufacturing, and microfluidics & nanofluidics. 

Research efforts will include 
•	Development of reduced order models for multiphysics engineering 
systems
•	Development of data mining, machine learning, and optimization 
algorithms

The preferred qualifications include: 
•	Background in numerical algebra and computational mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM) 
•	Strong hands-on experience with computing in Matlab, C/C++, Python, 
or other object-oriented programming languages
•	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”. 

PhD positions in Mechanical Engineering are immediately available within the 
research group of Dr. Yi Wang at the University of South Carolina-USC 
(Columbia/Main campus, https://yiwangusc.wixsite.com/yiwang). 

Numerical Modeling and Computation for Multiphysics Engineering Systems 
Design
We will investigate reduced order modeling and computational methodology for 
simulation analysis and design of multiphysics systems for a variety of 
engineering applications, which include but not limited to aerospace and 
aeroservoelasticity, energy materials and management, additive 
manufacturing, and microfluidics & nanofluidics. 

Research efforts will include 
•	Development of reduced order models for multiphysics engineering 
systems
•	Development of data mining, machine learning, and optimization 
algorithms

The preferred qualifications include: 
•	Background in numerical algebra and computational mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM) 
•	Strong hands-on experience with computing in Matlab, C/C++, Python, 
or other object-oriented programming languages
•	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”. 

PhD and post-doc positions in Mechanical Engineering are immediately 
available within the research group of Dr. Yi Wang at the University of 
South Carolina-USC (Columbia/Main campus, 
https://yiwangusc.wixsite.com/yiwang). 

Numerical Modeling and Computation for Multiphysics Engineering Systems 
Design
We will investigate reduced order modeling and computational methodology for 
simulation analysis and design of multiphysics systems for a variety of 
engineering applications, which include but not limited to aerospace and 
aeroservoelasticity, energy materials and management, additive 
manufacturing, and microfluidics & nanofluidics. 

Research efforts will include 
•	Development of reduced order models for multiphysics engineering 
systems
•	Development of data mining, machine learning, and optimization 
algorithms

The preferred qualifications include: 
•	Background in numerical algebra and computational mechanics
•	Experience in developing numerical models, codes, and computation 
algorithms (CFD and FEM) 
•	Strong hands-on experience with computing in Matlab, C/C++, Python, 
or other object-oriented programming languages
•	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”. 

There are two PhD positions starting from August 2019 are available at Dabagh Lab in the Department of 
Biomedical Engineering, the University of Wisconsin-Milwaukee. The focus of research will be on cellular 
mechanics in cancer metastasis and cardiovascular diseases. 

Applicants are expected to have an earned B.S. or M.S. degree in biomedical engineering, mechanical 
engineering, computer engineering/science, or applied mathematics. Successful candidates will be expected 
to carry out multidisciplinary research, present the results in international conferences, and publish scholarly 
papers. The position is available for the duration of the PhD. Salary and benefits are in accordance with the 
tables of the University of Wisconsin-Milwaukee for PhD students.

Strong background in fluid mechanics, solid mechanics, transport phenomena, and numerical methods is 
required. Background in C++ is a PLUS though high interest and some skills in programming is required. 
Interested applicants are encouraged to send their CV and transcripts along with 1-2 pages description of 
their interest and background to Dr. Mahsa Dabagh at dabaghme@uwm.edu. Please list at least three 
references and include your existing publications. A Skype interview will also be held with the short-listed 
candidates. 

•	EEO/AA Policy
University of Wisconsin-Milwaukee is an equal opportunity employer.

The Department of Mechanical Engineering at the University of Ottawa in Canada 
invites applications for a postdoctoral researcher in the area of 
computational fluid dynamics in the research lab of Professor Catherine 
Mavriplis. We are seeking a highly qualified individual to perform research 
and development in computational fluid dynamics for aerospace and other applications 
on large scale high performance computing hardware. 

The successful candidate must be proficient in Fortran90 and/or C/C++ and 
MPI programming with experience using high performance parallel computer 
hardware. Experience with open source software (such as Nek5000 or OpenFOAM) 
or, preferably, one's own (self-written) CFD code, and any of the following: adaptive mesh algorithms, 
multigrid solvers, load balancing, high order (spectral) methods, mesh generation tools  and post-
processing tools such as VISIT or Tecplot is considered an asset.

The candidate will also be expected to interact with graduate students. Therefore good communication 
skills are needed. Experience with writing and publishing journal articles is necessary. Part-time teaching 
positions are also available through the department (at approximately CDN$7,000 per course). 

The research to be done is on efficient implementation of the parallel adaptive high order discontinuous 
Galerkin method for the incompressible Navier-Stokes equations (DNS). Investigations into the physics 
and stability of flows in transition to turbulence may also be pursued. 

Funding is available for 10.5 months only: August 15th 2019 -June 30 2020. Therefore, ideally, the 
candidate must be able to come up to speed on the project fairly quickly and produce at least one journal 
article by the end of the period. 

To be considered for this position, please submit a letter of interest with your CV to 
Catherine.Mavriplis@uottawa.ca with subject line: CFD-Online Job # - your name 

As the NSERC Chair for Women in Science and Engineering, Prof. Mavriplis is a dedicated supporter of 
diversity in research. 

A PhD studentship application is invited at the 
Centre for Advanced Powertrain and Fuels, Brunel University London.
The topic is on computational study on spray dynamics.

The following research areas are especially encouraged:
(1) Inside-injector flow dynamics (see Ref. 1 for an example);
(2) Multicomponent spray dynamics;
(3) Spray dynamics under extreme conditions.

Depending on the applicant's experience and interest, research on
large-scale first-principle simulations,
multiscale hybrid approach development, or
engineering approach development based on commercial software packages, 
is equally welcomed.

Self-proposed topics on engineering spray predictions,
or more widely, on engineering multiphase flow predictions,
will also be welcomed.

*** ELIGIBILITY: 
(1) UK/EU nationals (Other applicants will be welcomed if self-funded);
(2) Mechanical Engineering or related background;
(3) A UK 2:1, First degree or equivalent.

*** Selected recent publications of Dr Xia's group:
(1) Luo TP, Zhang JX, Xia J, et al.:
Towards lattice Boltzmann simulation of flow dynamics inside a model fuel injector: a first-stage study,
ILASS–Europe 2019, 29th Conference on Liquid Atomization and Spray Systems, 
2-4 September 2019, Paris, France.

(2) Wan KD, Vervisch L, Xia J, et al.:
Alkali metal emissions in an early-stage pulverized-coal flame: 
DNS analysis of reacting layers and chemistry tabulation, 
Proceedings of the Combustion Institute, 37 (2019) 2791-2799,
https://doi.org/10.1016/j.proci.2018.06.119.

(3) Xia J, Shinjo J: 
Microexplosion and Puffing of an Emulsion Fuel Droplet,
ILASS-Europe 2017, 28th Annual Conference on Liquid Atomization and Spray Systems,
6-8 September 2019, Valencia, Spain,
http://dx.doi.org/10.4995/ILASS2017.2017.4762.

More details at https://www.brunel.ac.uk/people/jun-xia/publications.

We invite applications for a full-time Postdoctoral Research Assistants in
Marine Hydrodynamics and Ocean Engineering at Harbin Engineering University
(HEU) in China, in close collaboration with the University of Dundee (UoD) of
the UK. The post is available immediately. 
The post is funded for up to 36 months with the possibility of extension. The
annual salary starts from ¥150,000 (roughly equivalent to £18,000). The project
offer attractive highly discounted housing in Harbin and working condition. The
project will cover the travel expenses for attending conferences and
professional meetings. 


Position Information
This is part of a comprehensive project on design and analysis of novel floating
offshore wind turbines. In this post, you will work with PhD students and lead
laboratory experiments on wind, wave and current loads on floating offshore
structures with multiple wind turbines. The experiments will be conducted in the
deep-water basin of HEU of China. The focus of this part of the project is on
the load measurements and motion analysis of the platforms to various
combinations of the environmental loads and mooring configurations. You will
also contribute to outreach, networking and disseminating activities through
report writing, conference and journal publications. The project is supervised
by Professors Masoud Hayatdavoodi and BinBin Zhao. 
The position is hosted in Harbin Engineering University of China. The projects
will be carried out in close collaboration with the University of Dundee in the
UK. During the project, the candidate may need to attend both institutes (in
China and the UK). All travel expenses between China and the UK will be covered
by the project.  

Persons Specification 
The successful candidate must have a PhD degree (or be near completion) in a
relevant discipline with a strong background in Hydrodynamics. Previous research
experience on experimental marine hydrodynamics is highly desirable. Candidates
must demonstrate high academic potential and achievement. Enthusiasm for
research, an ability to think and work independently, and strong English verbal
and written communication skills are essential requirements. 


The Institutes
Harbin Engineering University has been continuously a leading top institute in
Ocean Engineering in China and internationally. HEU is recognized
internationally for its outstanding contribution to theoretical and experimental
Hydrodynamics. The physical laboratory facilities of HEU are among the top in
the world, including the deep-water basin, waves tanks, the towing tank, and
state of the art instruments.
Civil Engineering research at University of Dundee has maintained its ranking as
1st in Scotland and in the top 10 in the UK for the past 16 years.  A major
contributor to this success was the nationally- and internationally-recognized
research in Fluid Mechanics and Hydrodynamics. The University of Dundee has been
named the Scottish University of the Year in The Times & Sunday Times Good
University Guide in 2016 and 2017. 

Application Submission
You should submit all application material as a SINGLE PDF FILE to Dr. Masoud
Hayatdavoodi at mhayatdavoodi@dundee.ac.uk .  

Application Requirements
•	One-page cover letter, outlining fit to the role, 
•	CV, including a list of publications,
•	Graduate transcripts (unofficial transcripts are acceptable at this stage),
•	Names and contact information of two references, one of which must be the PhD
supervisor. 

Further Information
Applications will be reviewed as soon as received. The position is open until
filled.
For inquiries, contact Dr. Masoud Hayatdavoodi at mhayatdavoodi@dundee.ac.uk

Position Summary:
Commercial lead(s) for Ricardo Software sales growth in the North American 
territory for the Automotive, Industrial and/or Off-Highway sectors 
(Automotive, Commercial Vehicle, Marine, Power Generation & Industrial 
markets).  This role engages in direct sales activities.

Essential Functions:
•	Serves as the primary Ricardo Software commercial contact for 
existing and new customers in the defined product line & region
•	Account management, including regular visits to key customers to 
provide product updates and maintain customer relations (building trust with 
our customers)
•	Has the market, customer and product expertise required to formulate 
and execute a custom business plan
•	Generates new leads via Ricardo Software marketing activities, 
leveraging partnerships, and general customer contact
•	Manages direct sales inquiries in the region
•	Coordinates customer visits by Ricardo Software staff and/or 
distributors.  Coordinates marketing activities for the defined product line 
& region
•	Secondary role: when appropriate provides direct technical support 
and/or training to customers
Responsibilities:
•	Attends commercial reviews and reports information for the product 
line & region
•	Manages & maintains Ricardo Software CRM (Gimli) leads ensuring 
accurate and up-to-date information 
•	Delivers proposals and follows-up through the purchase process to 
secure purchase orders (and Master License Agreements)
•	Creates and maintains commercial plans for the defined product line 
& region, including target customer lists, marketing actions and jointly 
forecasting Order Intake with Product Managers and Global EVP Business 
Development

Knowledge, Skills and Abilities:
1.	Bachelor’s degree in engineering, sales or related field
2.	Background in simulation tools or software sales a plus
3.	Strategic selling & negotiation skills
4.	Proven ability to develop new customers
5.	Demonstrated market knowledge
6.	Strong customer connections (key staff, organization structures)
7.	Excellent customer relations skills
8.	Excellent presentation skills and communication skills
9.	Ability to excel in a fast-paced, dynamic and matrixed organization
10.	Demonstrated ability to effectively multi-task 
11.	Proficient knowledge of Microsoft Office to include Word, Excel, and 
Power Point
 

• Survey and preliminary investigation of potential actuator concepts
• Numerical analysis of selected actuator concepts on 2D wing sections and fully-3D wings
• Contribution to wind tunnel model development and data validation with experimental results
• Development, optimization, and validation of Reduced Order Models based on numerical and experimental data
• PhD degree can be acquired

• Outstanding candidates who have completed or are in the process of completing a Master Degree in Aerospace Engineering, Mechanical Engineering, or a comparable field
• Team-oriented, reliable, and self-motivated work attitude
• Experience with running numerical simulations with commercial or in-house codes
• Solid knowledge of fluid mechanics, ideally flow control, transonic flow, and CFD
• Excellent oral and writing skills in English
• Good programming skills (e.g. C, C++, Fortran, Python), Linux
• Experience with Matlab, CAD software, FE analysis, wind tunnel testing, and reduced order models is an advantage

• Letter of Motivation
• Curriculum Vitae including complete address, phone number, email address, educational background, language skills, and work experience
• Copies of Bachelor and Master certificates and transcript of grades in original language and in English or German translation
• Scientific writing sample authored by the candidate (e.g. Master thesis, conference paper)
• Names of 1-3 potential referees

• Survey and preliminary investigation of potential actuator concepts
• Numerical analysis of selected actuator concepts on 2D wing sections and fully-3D wings
• Design, manufacturing, and testing of 2D and 3D wind tunnel models for validation experiments
• Development, optimization, and validation of Reduced Order Models based on numerical and experimental data
• PhD degree can be acquired

• Outstanding candidates who have completed or are in the process of completing a Master Degree in Aerospace Engineering, Mechanical Engineering, or a comparable field
• Team-oriented, reliable, and self-motivated work attitude
• Solid knowledge of fluid mechanics, ideally flow control, experimental methods, and CFD
• Experience with one or more of the following techniques: force balances, surface pressure measurements, Particle Image Velocimetry, wind tunnel testing
• Excellent oral and writing skills in English
• Good programming skills (e.g. C, C++, Fortran, Python), Linux
• Experience with Matlab, CAD software, FE analysis, and reduced order models is an advantage

• Letter of Motivation
• Curriculum Vitae including complete address, phone number, email address, educational background, language skills, and work experience
• Copies of Bachelor and Master certificates and transcript of grades in original language and in English or German translation
• Scientific writing sample authored by the candidate (e.g. Master thesis, conference paper)
• Names of 1-3 potential referees