IIHR—Hydroscience & Engineering, THE UNIVERSITY OF IOWA, has an immediate 
opening for a Postdoctoral Research Scholar in experimental methods with 
applications in ship hydrodynamics under the supervision of Professor Frederick 
Stern and Dr. Yugo Sanada. The initial appointment is full-time for 2 years, 
with the possibility of renewal subject to satisfactory performance and 
availability of continued funding. This is an immediate opening and applications 
will be considered until a successful candidate has been identified. Salary will 
be commensurate with qualifications and experience. Information regarding the 
Office of Postdoctoral Scholars can be found at http://postdoc.grad.uiowa.edu. 

Required Education: 
Ph.D. in mechanical or aerospace engineering, or closely related discipline 
prior to starting this position is required. 

Required Qualifications:
Demonstrated interest in experimental methods with applications in ship 
hydrodynamics for physical understanding and computational fluid dynamics (CFD) 
validation data, including use of wave basin and/or towing tank facilities, free 
running models and tracking systems, and both global and local flow measurement 
systems along with use of integrated computational fluid dynamics for design of 
experiments and in support physical understanding and development of reduced 
order models.

Highest priority will be given to candidates with demonstrated expertise in 
advanced local flow measurement systems such as particle image velocimetry (PIV) 
and/or particle tracking velocimetry (PTV).

Strong coding experience and skills using HPC with MPI and programming languages 
(Fortran or C) 

Excellent written and oral communication skills

The successful candidate will have the opportunity to work closely with faculty, 
staff, and students of IIHR-Hydroscience and Engineering (www.iihr.uiowa.edu), a 
national and global leader in environmental and fluids-related research, 
education, and service. The University of Iowa is one of the nation's top public 
research universities and is known around the world for its balanced commitment 
to the arts, sciences, and humanities. The University of Iowa is in Iowa City, a 
community built around higher education, with vibrant cultural opportunities and 
a long history of international connections, leadership, and accomplishment. 
Iowa City offers the safe, friendly quality of life for which the Midwest is 
known. Information regarding some of the resources that the University of Iowa 
and the local area provide can be found at (https://worklife.uiowa.edu).

Applicants should submit a resume with a list of at least three references and 
copies of selected publications, if appropriate, at 
https://jobs.uiowa.edu/postdoc/view/3761. 

The University of Iowa is an equal opportunity/affirmative action employer. All 
qualified applicants are encouraged to apply and will receive consideration for 
employment free from discrimination because of race, creed, color, religion, 
national origin, age, sex, pregnancy, disability, genetic information, status as 
a U.S. veteran, service in the U.S. military, sexual orientation, gender 
identity, associational preferences, or any other classification that deprives 
the person of consideration as an individual.

IIHR – Hydroscience & Engineering (https://www.iihr.uiowa.edu/) and the College 
of Engineering (https://engineering.uiowa.edu/) at the University of Iowa 
(https://uiowa.edu/) seeks a highly motivated postdoctoral research scholar to 
conduct research with Dr. Caterina Lamuta (https://www.caterinalamuta.com/)The 
initial appointment is full-time for one year with the possibility of renewal 
subject to satisfactory performance and availability of continued funding. This 
is an immediate opening and applications will be considered until a successful 
candidate has been identified. 

Research will focus on design, manufacturing, testing, and control of a novel 
soft robot for underwater applications powered by artificial muscles.

Key areas of responsibility include:
•	robotics
•	mechanical design
•	smart materials

The successful candidate will have the opportunity to work closely with faculty, 
staff, and students of IIHR-Hydroscience and Engineering (www.iihr.uiowa.edu), a 
national and global leader in environmental and fluids-related research, 
education, and service. The University of Iowa is one of the nation's top public 
research universities and is known around the world for its balanced commitment 
to the arts, sciences, and humanities. The University of Iowa is located in Iowa 
City, a community built around higher education, with vibrant cultural 
opportunities and a long history of international connections, leadership, and 
accomplishment. Iowa City offers the safe, friendly quality of life for which 
the Midwest is known. Information regarding some of the resources that the 
University of Iowa and the local area provide can be found at 
(https://worklife.uiowa.edu).

Required Education: Ph.D. in Mechanical Engineering or a relevant science or 
engineering field prior to starting this position is required. 

Required Qualifications:
Prior experience and significant level of expertise with/in mechanical design 
and manufacturing
Familiarity with FEM analysis
Experience with CAD modeling
Prior experience and significant level of expertise using Matlab/Simulink
Prior experience in robotics
Demonstrated knowledge of implementation of control algorithms for robotic 
devices
Demonstrated effective oral and written communication skills. 

Desirable Qualifications:
Previous experience with the design and testing of soft robotic devices 
Previous experience presenting results at scientific conferences and established 
publication record.

Pay is commensurate with experience. Applicants are required to submit a cover 
letter and resume/cv with a list of at least three references at 
https://jobs.uiowa.edu/postdoc/view/3874

The University of Iowa is an equal opportunity/affirmative action employer. All 
qualified applicants are encouraged to apply and will receive consideration for 
employment free from discrimination on the basis of race, creed, color, 
religion, national origin, age, sex, pregnancy (including childbirth and related 
conditions), disability, genetic information, status as a U.S. veteran, service 
in the U.S. military, sexual orientation, gender identity, or associational 
preferences.

The wind energy market is driven by Horizontal Axis Wind Turbines (HAWTs), 
however, Vertical Axis Wind Turbines (VAWTs) have the potential to outperform 
them. Although VAWTs are considered to have lower aerodynamic efficiencies, recent 
studies show that VAWTs, in array configurations, are much better suited for 
future wind farms by producing significantly more power per square meter.

The fatigue issues and material failures, due to cyclic stresses in the earlier 
VAWTs designs, have been a major problem faced by the wind industry which has 
prevented unlocking the potential of VAWTs for wind energy conversion. Recent 
advances in computational modelling have enabled an in-depth understanding of the 
aerodynamic and fluid-structure interactions of wind turbines. These tools can be 
used to investigate the applications of new structures and innovative blade 
designs to overcome most of the fatigue issues for VAWTs.

The overall aim of this research is to enhance the integration of numerical and 
experimental models with real-condition wind farms data and innovative geometries 
to reveal the potential high performance of VAWTs both individually and in array 
configurations. As a case study, the proposed method will be used to investigate 
and optimise the aerodynamics and structural integrity of an innovative VAWT which 
is designed to withstand strong winds.

The co-supervised PhD student at Northumbria University will be involved in 
computational and experimental modelling and optimisation of wind turbines using 
an in-house code and wind tunnels. Experimental investigations in the industry 
will be used to validate the numerical model aerodynamic performance and 
aeroelastic instabilities predictions.

Students with a strong research interest in Renewable Energy are encouraged to 
apply for the studentship. We are seeking to recruit a highly motivated PhD 
student with a background in any of the followings:

Energy, Mechanical Engineering, Applied Mathematics, Materials Science, 
Environmental Engineering, Aerodynamics, CFD.

Supervisor websites:

https://www.northumbria.ac.uk/about-us/our-staff/r/mohammad-rahmati/

https://www.northumbria.ac.uk/about-us/our-staff/d/laurent-dala/

Academic Enquiries
This project is supervised by Dr Mohammad Rahmati. For informal queries, please 
contact mohammad.rahmati@northumbria.ac.uk. For all other enquiries relating to 
eligibility or application process please use the email form below to contact 
Admissions.

Eligibility Requirements:
Academic excellence of the proposed student i.e. 2:1 (or equivalent GPA from non-
UK universities [preference for 1st class honours]); or a Masters (preference for 
Merit or above); or APEL evidence of substantial practitioner achievement.
Appropriate IELTS score, if required.
Applicants cannot apply for this funding if they are already a PhD holder or if 
currently engaged in Doctoral study at Northumbria or elsewhere.
Home and International students (inc. EU) are welcome to apply. The studentship is 
available to Home and International (including EU) students and includes a full 
stipend at UKRI rates (for 2022/23 full-time study this is £17,668 per year) and 
full tuition fees. Studentships are also available for applicants who wish to 
study on a part-time basis (0.6 FTE, stipend £10,600 per year and full tuition 
fees) in combination with work or personal responsibilities.  

Please note: to be classed as a Home student, candidates must meet the following 
criteria:

Be a UK National (meeting residency requirements), or
have settled status, or
have pre-settled status (meeting residency requirements), or have indefinite leave 
to remain or enter.
If a candidate does not meet the criteria above, they would be classed as an 
International student. Applicants will need to be in the UK and fully enrolled 
before stipend payments can commence, and be aware of the following additional 
costs that may be incurred, as these are not covered by the studentship.


For further details of how to apply, entry requirements and the application form, 
see:

https://www.findaphd.com/phds/project/aerodynamic-design-and-aeroelasticity-
analysis-of-vertical-axis-wind-turbine-farms-renu23-ee-mce-rahmati/?p153380

For applications to be considered for an interview, please include a research 
proposal of approximately 1,000 words and the advert reference (advert reference 
(RENU23 /EE/MCE/RAHMATI)).

Deadline for applications: 3rd February 2023

Start date of the course: 1st October 2023

The Department of Civil Engineering at the Florida International University is 
looking for two fully-funded PhD student positions on CFD modeling of Urban Heat 
Island and Hydraulic Structures using preferably OpenFOAM. The Florida 
International University (FIU) Wall of Wind (WOW) is the United States' only 
university-based full-scale simulator capable of producing Category 5 hurricane 
winds (157+ mph). Please send your CV and a PDF of your most relevant publication 
to arleon@fiu.edu. Qualified candidates for the positions will be contacted for a 
Skype interview within one week of application. Only qualified candidates will be 
contacted. 

Preference will be given to students already in the United States (American 
students or International Students with F1 Visa Status) 

You will join the Aerodynamics and Flight Mechanics (AFM) Research Group at the 
University of Southampton. You will be working under the supervision of Dr 
Andrea Da Ronch on the project “Out of Cycle Next Generation Highly Efficient 
Air Transport (ONEheart)”. The project is a large, national effort led by Airbus 
Operations Ltd with several industrial and academic partners. The aim of this 
position is to perform multi-disciplinary analysis and optimisation of derived 
and novel aircraft configurations using a monolithic architecture by taking full 
advantage of fast aerodynamic tools (medium fidelity and data-driven approaches) 
coupled with structural dynamics tools. There will also be opportunities to 
supervise post-graduate students and to get involved in other projects in the 
fields of data-driven aerodynamic models and aircraft design development. 

The AFM research group is comprised of experts in theoretical, computational and 
experimental methods and our aim is to provide an environment in which these 
different approaches can be combined and focused on particular topics of 
practical importance. You will join a vibrant team of other postdoctoral 
researchers and graduate students working in different areas of aerospace and 
aeronautics, covering the entire spectrum of fidelity levels.

You will have or be close to completing a PhD in multi-disciplinary optimisation 
of fixed/rotary wing aircraft. Experience with developing models and methods for 
fixed/rotary wing aircraft optimisation is critical. Experience with SU2, or 
other aerodynamic analysis tools (medium to high fidelity preferred), and 
machine learning (pytorch, tensorflow), being comfortable with analysis tools 
such as MATLAB, Python, and high-performance computing are highly desirable. 
Strong communication and language skills, as evidenced by publications and 
presentations, are essential. 

Please contact Dr Andrea Da Ronch (a.da-ronch@soton.ac.uk) for further details 
about the position. 

Applications will be considered from candidates who are working towards or 
nearing completion of a relevant PhD qualification.  The title of Research 
Fellow will be applied upon completion of PhD.   Prior to the qualification 
being awarded the title of Senior Research Assistant will be given.’

Application Procedure

You should submit your completed online application form at 
https://jobs.soton.ac.uk. The application deadline will be midnight on the 
closing date stated above. If you need any assistance, please call Sian Gale 
(Recruitment Team) on +44 (0) 23 8059 2750, or email recruitment@soton.ac.uk. 
Please quote reference 2081822DA-R on all correspondence.

Further details:

We believe equality, diversity and inclusion are fundamental to making the 
University of Southampton a welcoming, vibrant and successful organisation. 
Having a diverse workforce, inclusive of people of all ages and beliefs, from 
different racial, educational and social backgrounds opens up a wealth of 
possibilities, makes us more creative and accelerates our impact on society. We 
welcome applicants that value the diversity of our community and are willing to 
play their part in supporting the mission of inclusivity. 

You will join the Aerodynamics and Flight Mechanics (AFM) Research Group at the 
University of Southampton. You will be working under the supervision of Dr 
Andrea Da Ronch on the project “Out of Cycle Next Generation Highly Efficient 
Air Transport (ONEheart)”. The project is a large, national effort led by Airbus 
Operations Ltd with several industr ial and academic partners. The aim of this 
postdoctoral research position is to investigate the strong aerodynamic and 
aeroelastic interaction of multiple rotors with the wing, and the development of 
suitable design tools for aircraft design. There will also be opportunities to 
supervise post-graduate students and to get involved in other projects in the 
fields of reduced-order modelling via machine learning and aircraft design 
development. 

The AFM research group is comprised of experts in theoretical, computational and 
experimental methods and our aim is to provide an environment in which these 
different approaches can be combined and focused on particular topics of 
practical importance. You will join a vibrant team of other postdoctoral 
researchers and graduate students working in different areas of aerospace and 
aeronautics, covering the entire spectrum of fidelity levels.

You will have or be close to completing a PhD in computational aerodynamics or 
aeroelasticity of fixed/rotary wing aircraft. Experience with developing 
aerodynamic models and methods for fixed/rotary wing aircraft is critical. 
Experience with SU2, or other aerodynamic analysis tools (medium to high 
fidelity preferred), and multibody tools, being comfortable with analysis tools 
such as MATLAB, Python, and high-performance computing are highly desirable. 
Strong communication and language skills, as evidenced by publications and 
presentations, are essential. 

There are a great range of benefits that includes a contributory pension scheme; 
holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays 
(closure days); subsidised health and fitness facilities on-site; cycle to work 
scheme; a range of discounts which include restaurants, retail outlets and 
entertainment.

The University holds an Athena SWAN silver award in recognition of its’ 
continued commitment to improving equality for women in science and engineering.  
We will give due consideration to applicants that wish to work flexibly 
including part-time and due consideration will be given to applicants who have 
taken a career break. The University has a generous maternity policy*, and 
onsite childcare facilities.  

Please contact Dr Andrea Da Ronch (a.da-ronch@soton.ac.uk) for further details 
about the position. 

*Applications will be considered from candidates who are working towards or 
nearing completion of a relevant PhD qualification.  The title of Research 
Fellow will be applied upon completion of PhD.  Prior to the qualification being 
awarded the title of Senior Research Assistant will be given. 

Application Procedure 

You should submit your completed online application form at 
https://jobs.soton.ac.uk. The application deadline will be midnight on the 
closing date stated above. If you need any assistance, please call Janice Poon 
(HR Recruitment Team) on +44 (0) 23 8059 2750 or email recruitment@soton.ac.uk  
Please quote reference 2071422DA-R on all correspondence.

Applications are invited for a Ph.D. studentship on Aircraft State Modelling & 
Separation for Fatigue Design. The scholarship is funded by Airbus Operations 
Ltd through an EPSRC Industrial CASE Award.

The project has the potential of significantly improving the fatigue design and 
maintenance of an aircraft. Fatigue design and fatigue damage estimates are 
based on many factors such as design and performance assumptions, manufacturing, 
component material, stress cycle calculations and service conditions. Of these, 
the stress cycles and service conditions experienced by the aircraft are related 
to the loads acting on the aircraft during flight, such as those resulting from 
the number (and type) of gusts and manoeuvres experienced by the aircraft. Thus, 
refined information on the number and severity of gusts could improve the 
fatigue damage estimates of the aircraft. The hypothesis is that machine 
learning could be applied to historic datasets of in-service and flight test 
data to find specific performance clusters and automatically identify/separate 
the aircraft dynamics due to aircraft control from the dynamics due to gust or 
environmental factors/phenomenon.

More accurate, in-service and flight-test based, statistical data could then be 
used for fatigue design to improve damage estimates and ultimately reduce the 
amount of time an aircraft spends on the ground for inspection of component 
failures. Such research is of utmost importance for the aerospace industry and 
Airbus has a strong interest in developing a maintenance system which makes the 
aircraft available when needed by the airline at minimum maintenance cost and 
which opens opportunities for new maintenance business models and services.

Applications are invited from candidates with (or who are expected to gain) a 
first-class honours degree or equivalent in Aerospace Engineering. Further 
details on eligibility and about the EPSRC case programme can be found at 
https://www.ukri.org/what-we-offer/developing-people-and-
skills/epsrc/studentships/industrial-case/.  The studentship is for 4 years and 
will provide full coverage of tuition fees, a generous travel budget, support 
for a placement of at least 3 months at Airbus, Filton, and an annual tax-free 
enhanced stipend of circa £20,000.

If you wish to discuss any details of the project informally, please contact Dr. 
Andrea Da Ronch, Aerodynamics and Flight Mechanics Research Group, Email: a.da-
ronch@soton.ac.uk, Tel: +44 (0) 2380 59 4787.

Entry Requirements

A very good undergraduate degree (at least a UK 2:1 honours degree, or its 
international equivalent).

Closing date: applications should be received no later than 31 May 2023 for 
standard admissions, but later applications may be considered depending on the 
funds remaining in place.

Job Description: The LSU MIE Department is working on a project which seeks to 
build a fundamental understanding of a biomass dewatering process. We are 
seeking a highly motivated Postdoctoral Researcher to help us create machine 
learning-based and computational models which will help gain a better 
understanding of the process. This position will be for an initial one-year 
term, with the potential of subsequent renewals.

Job Responsibilities: Create CFD and data-driven models, lead or assist 
preparation of peer-reviewed publications, support bi-weekly and quarterly 
reporting to our industry partner, and support proposal writing. Mentor and 
train undergraduate and graduate students. 

Minimum Qualifications:
• PhD in Mechanical Engineering or related field.
• Strong background in fluid dynamics, computational/mathematical modeling, and 
heat transfer.
• Experience using open-source and commercial CFD codes (e.g., ANSYS, OpenFOAM, 
etc.).
• Experience with scientific code development using software/programming 
languages: e.g., FORTRAN, C/C++, MATLAB, Python, etc. 

Application Instructions: If interested, please email a cover letter, resume to 
me at oowoyele@lsu.edu.

Benefits: LSU offers outstanding benefits to eligible employees and their 
dependents including health, life, dental, and vision insurance; flexible 
spending accounts; retirement options; various leave options; paid holidays; 
wellness benefits; tuition exemption for qualified positions; training and 
development opportunities; employee discounts; and more!

Koch-Glitsch is a complete solutions provider with extensive knowledge, 
experience, and unique capabilities. Across the chemical, petrochemical, 
refining, gas processing, pharmaceutical and specialty chemical industries, 
Koch-Glitsch is recognized as a global leader in mass transfer and separations 
equipment as well as related services, with a full range of capabilities to meet 
your toughest need. Koch-Glitsch is a part of Koch Engineered Solutions (KES).

Koch-Glitsch is looking for a CFD Engineer in Wichita, KS to facilitate 
technical design and optimization of mass transfer and mist elimination 
equipment utilized in the oil and gas, petrochemical and chemical industries.

What You Will Do In Your Role
You will own and execute CFD projects from the proposal stage through analysis, 
reporting, and presentation
You will contribute to long-term business growth through technology and product 
development and work with the business units to leverage CFD simulation 
capabilities to improve product designs, improve our understanding of our 
products and technologies, reduce process/warranty risk, and assist the order 
acquisition phase by demonstrating technical superiority and generating 
innovative solutions for our customers
The Experience You Will Bring
Requirements:
Hands-on experience with ANSYS FLUENT and/or STAR-CCM+ or other commercial CFD 
software
Knowledge and understanding of fluid mechanics in particular multiphase flow
What Will Put You Ahead
Master’s Degree or Doctorate in Mechanical or Chemical Engineering or related 
disciple
Prior experience in mass transfer technology equipment design or manufacturing
Experience working in the oil and gas industry
3+ years using commercial CFD code

Our goal is for each employee, and their families, to live fulfilling and 
healthy lives. We provide essential resources and support to build and maintain 
physical, financial, and emotional strength - focusing on overall wellbeing so 
you can focus on what matters most. Our benefits plan includes - medical, 
dental, vision, flexible spending and health savings accounts, life insurance, 
ADD, disability, retirement, paid vacation/time off, educational assistance, and 
may also include infertility assistance, paid parental leave and adoption 
assistance. Specific eligibility criteria is set by the applicable Summary Plan 
Description, policy or guideline and benefits may vary by geographic region. If 
you have questions on what benefits apply to you, please speak to your 
recruiter.


At Koch companies, we are entrepreneurs. This means we openly challenge the 
status quo, find new ways to create value and get rewarded for our individual 
contributions. Any compensation range provided for a role is an estimate 
determined by available market data. The actual amount may be higher or lower 
than the range provided considering each candidate’s knowledge, skills, 
abilities, and geographic location. If you have questions, please speak to your 
recruiter about the flexibility and detail of our compensation philosophy.

Equal Opportunity Employer, including disability and protected veteran status.
Except where prohibited by state law, all offers of employment are conditioned 
upon successfully passing a drug test.
This employer uses E-Verify. Please visit the following website for additional 
information: www.kochcareers.com/doc/Everify.pdf

There is an open position for a postdoc researcher who can do self-directed 
research for energy applications with professor Duckjong Kim at the department 
of mechanical engineering, Gyeongsang National University. 

The requirements for the applicant are
- majoring in mechanical engineering (thermal engineering)
- having in-depth experience in numerical simulation of heat and mass transfer
- having at least two first-authored articles published in Q1/Q2-level SCI(E) 
journals since 2021 (must check at https://www.resurchify.com/ranking)
- being available to join by March-April 2023.

Until this time, professor Duckjong Kim has published papers on similar topics 
in Energy, Energy Conversion and Management, Advanced Materials, Carbon, 
Nanoscale, and so on. 

In the first contracted year, the researcher will receive at least 3,000,000 
KRW/month as a salary (including tax, but some part of the tax can be refunded), 
3,000,000 KRW/year as a discharge allowance, and some amount of incentive. Also, 
depending on the working periods, the salary will be increased.

Interested researchers are encouraged to submit their Curriculum Vitae to the 
email address below:

Professor Duckjong Kim,
Department of Mechanical Engineering
Gyeongsang National University
501 Jinju-daero, Jinju, Gyeongnam 52828, Republic of Korea
e-mail: dkim@gnu.ac.kr