Prof. Xuerui Mao’s research group at Beijing Institute of Technology (BIT) is 
seeking highly motivated and enthusiastic postdoctoral researchers in the field 
of fluid mechanics, computer science, and machine learning.

The duty of the role is within the range of: 1) conduct numerical simulations 
and modelling of various fluid phenomena, 2) develop and implement novel ROM or 
algorithms on physics-informed learning of functions for data obtained from CFD 
simulations or experiments, 3) attending academic conferences and writing 
reports, proceedings and journal papers, 4) co-supervising graduate and 
undergraduate students.

The selected candidates will receive an annual salary of up to 375K RMB (Beijing 
campus), 475K RMB (Zhukhai  campus)or 520K RMB (Jiaxing campus) depending on the 
experience and track record. The group will also provide research funding, 
additional subsidies and bonuses depending on research performance. The 
University offers one-bedroom accommodation within the campus costing 1200 RMB 
per month. These positions have a duration of two years, and outstanding 
candidates will be considered for faculty positions near the end of the term.

Introduction to the research group

The research group comprises a multi-disciplinary team with on-going research 
activities across fundamental and applied fluid mechanics and data science, 
including data assimilation, modal analysis, icing/de-icing, fluid-solid 
interaction, and computational simulation and modelling of various flows. In 
addition, it maintains extensive collaborations with overseas universities, 
e.g., Imperial College London, University of Nottingham, Oxford University, KTH, 
Johns Hopkins University.  There are regular mutual exchanges of researchers for 
each of the topic above. The group has been funded by research councils and 
major industries in aerospace engineering and energy in the UK, EU and China. 
More information of the group can be found at https://mao-lab.com.

BIT is located in the centre of Beijing, and despite its compact size, it 
belongs to the first groups of national higher education projects “211” and 
“985”, among a few other esteemed universities. For international candidates, 
the university and the group will offer compressive support for accommodation 
and integration into campus life, and it is totally comfortable to speak English 
in the campus.

Requirements:

A PhD degree in applied mathematics, engineering (Mechanical, Aerospace, and 
computer science), or equivalent fields.
Publication record in top journals.
Capacity to communicate fluently in English.
Experiences on programming, analytical modelling, high-performance-computing, 
and machine learning will be appreciated.
Outstanding candidates are invited to send (1) Covering letter (2) CV and (3) 
two references to maoxuerui@sina.com 

Application inviting for 2025 sessions

PhD Research Scholar Position in Electronic Cooling
Institution: Center of Excellence for Electronic Cooling and CFD Sim Lab
Department: College of Engineering and Technology (CET)
Location: SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 
India

Position Overview:
We are seeking a highly motivated PhD Research Scholar to join our cutting-edge 
research team in the field of Electronic Cooling. The candidate will work under 
the supervision of experienced faculty and collaborate with an interdisciplinary 
team to explore innovative cooling techniques for electronic systems, including 
the development of advanced thermal management solutions.

Research Focus:
The primary area of research will focus on:

Thermal Management of Electronics: Studying and developing efficient cooling 
techniques for high-power electronic devices and systems.

CFD Simulations: Utilizing Computational Fluid Dynamics (CFD) tools, such as 
ANSYS ICEPAK, to model and analyze heat transfer mechanisms in electronics.

Phase Change Materials (PCMs): Researching the integration of PCMs into cooling 
systems to enhance thermal performance.

Miniaturization of Cooling Solutions: Investigating novel cooling strategies 
like microchannel heat sinks and two-phase cooling for compact electronic 
components.

Nanofluids in Cooling: Exploring the potential of nanofluids in enhancing heat 
transfer in electronic cooling applications.

Experimental Validation: Designing and conducting experiments to validate 
simulation results and improve the reliability of electronic cooling methods.

Key Responsibilities:
Conduct research on advanced cooling systems for electronic components.
Perform CFD simulations and thermal analysis using industry-standard software.
Collaborate with other researchers and industrial partners on joint projects.
Publish high-quality research papers in international peer-reviewed journals and 
conferences.

Present research findings to academic and professional audiences.

Qualifications:
A Master's degree in Mechanical Engineering, Thermal Engineering, or a related 
field.
Strong background in Thermal Management, Heat Transfer, and CFD.
Experience with CFD tools (e.g., ANSYS ICEPAK, Fluent) and experimental methods 
related to electronic cooling is highly desirable.
Excellent analytical and problem-solving skills.
Ability to work independently and as part of a team.

Benefits:
Access to state-of-the-art research facilities, including the Center of 
Excellence for Electronic Cooling and CFD Sim Lab.
Opportunity to collaborate with industry partners and gain exposure to real-
world applications of electronic cooling.
Competitive stipend and funding opportunities for conference presentations and 
publications.

Application Process:
Interested candidates should submit the following documents:

A detailed CV.
Statement of research interests and experience.
Academic transcripts.
Contact information for at least two academic or professional references.

Convergent Science is a rapidly growing computational fluid dynamics (CFD) 
company. Our flagship product, CONVERGE, is a state-of-the-art CFD software 
suite used by industry and research organizations around the world to simulate 
turbulent flows in complex geometries. Convergent Science is headquartered in 
Madison, Wisconsin, USA, with additional offices in the USA, Europe, and India.

Our mission is to enable our customers to perform revolutionary CFD simulations 
by creating accurate, versatile, user-friendly software and providing 
unparalleled support. 

Position Overview:
We are seeking a full-time Applications Engineer for our office in Pune, India, 
to manage a set of customer accounts and ensure their technical success with our 
CONVERGE CFD software.

What We Offer:
• Being part of a stable and fast-growing company
• A dynamic team in a great working environment
• Technically challenging and interesting job
• Diverse simulations topics/application areas

Responsibilities:
• Act as the primary point of contact for assigned set of accounts for all 
technical issues related to their use of CONVERGE; identify problems and take 
responsibility for resolving issues, including reporting bugs
• Participate in the sales process to facilitate sales and the deployment of our 
software at potential and existing customers
• Lead introductory and advanced training sessions for CONVERGE
• Conduct technical discussions with prospective accounts on the benefits of CFD 
products
• Perform benchmark simulations to define best practices and verify results
• Present new software features to address customer needs
• Create knowledge base articles for the customer portal
• Work on multiple projects/problems simultaneously
• Collaborate with product management and industry teams to provide input on 
future product direction

Requirements:
• M.S. or Ph.D. in engineering, computer science, mathematics, or related field
• Extensive CFD knowledge
• Excellent written and verbal communication skills
• Knowledge of combustion, turbulence, and spray modeling (desirable)
• Background in chemical kinetics (desirable)
• Gas turbine simulation experience (desirable)
• Electric motor simulation experience (desirable)
• Pump and compressor simulation experience (desirable)
• Internal combustion engine simulation experience (desirable)
• Experience programming in C, C++, Fortran, and MPI (desirable)
• On-site client visits and conference attendance will be required occasionally, 
so applicants should be willing to travel
• In addition to the technical knowledge required for this position, applicants 
should be outgoing, creative, and highly motivated

Benefits:
• Salary commensurate with experience
• Possible annual bonus
• Paid holidays and paid time off
• PF contributions
• Medical insurance

Application Instructions:
Interested applicants should send their resume and salary requirements to the 
email address listed in the contact information. 

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: M.Tech with 1st class or B.Tech/MSc. 
The candidate should have demonstrated a strong academic background in fluid 
mechanics, thermodynamics, computational fluid dynamics, and machine learning. The 
candidate should have demonstrated excellent coding skills (e.g. in C/C++/Fortran 
etc.) in the past. Knowledge of atmosphetic fluid dynamics and experience with 
parallel computing on high performance computing setups is desirable.

Interested candidates can visit the following link at IIT Delhi jobs website for 
instructions on the application process and salary scale: 
https://ird.iitd.ac.in/sites/default/files/jobs/project/IITD-IRD-262-2024.pdf

Khalifa University is a top ranked University in the UAE, with a range of research and academic programs designed to address the entire range of strategic, scientific and industrial 
challenges facing our rapidly evolving world. Its world-class faculty and state-of-the-art research facilities provide an unparalleled learning experience to students from the UAE and around 
the world. Our research and academic activities cover a broad range of disciplines in engineering, science and medicine through our three colleges.

Khalifa University’s research relates to key focus sectors of relevance to the UAE’s strategic economic growth and the technology platforms that serve as foundations for these sectors. The 
University’s research priorities are addressed in two categories — “verticals” and “horizontals” — which jointly cover specific industry and sector needs, technical platforms and expertise.

KU’s focus sectors are Clean and Renewable Energy, Hydrocarbon Exploration and Production, Water and Environment, Healthcare, Aerospace, and Supply Chain and Logistics. Research in these 
sectors is enhanced by our research platforms of Robotics, AI and Data Science, Information and Communication Technologies, and Advanced Materials and Manufacturing as well as Fundamental 
Sciences.

Position Overview:
Khalifa University is seeking a highly motivated Post-doctoral Fellow to work on both numerical simulations and experimental measurements related to flow accelerated corrosion using a newly 
designed rotating cage setup. The selected candidate will be expected to contribute toward the following tasks:

•	The postdoc will also conduct high level numerical simulations incorporating rotating turbomachinery using OpenFOAM and StarCCM+.
•	Experimental measurements using the rotating cage setup with the help of stereo Particle Image Velocimetry (PIV)
•	Post process and analyze data for flow accelerated corrosion (FAC) development
•	Collaborate with our international partner University of Manchester, UK and edf France
•	Publish high-quality journal and international conference papers based on the obtained research results

Position Requirements:
•	Expert in Computational Fluid Dynamics with hands-on experience of CFD and other modelling codes such as OpenFOAM, StarCCM+, MATLAB, Tecplot etc.
•	Working knowledge of PIV measurements
•	Good programming skills in C++, MATLAB and Phyton
•	Excellent writing and communication skills, strong publication records
•	Adhere to the University's information security and confidentiality policies and procedures, and report breaches or other security risks accordingly
•	Perform any other tasks assigned by the Line Manager

Required Criteria:
•	PhD from a reputable university in Mechanical/Aerospace/Nuclear Engineering or a closely related discipline
•	Experience writing scientific review papers and grants
•	A willingness to contribute to a collaborative and supportive team culture 
•	Excellent English language communication skills (verbal and written)
•	Ability to work both independently and as part of a team
•	The proven ability to work on multiple tasks with competing demands and deadlines
•	Ability to train and mentor grad students and support fellow researchers
•	Highly developed reasoning and problem-solving skills

Khalifa University is an equal opportunity employer and offers excellent salaries/benefits. Candidates with satisfy the following requirements are encouraged to apply directly to Dr. Imran 
Afgan at imran.afgan@ku.ac.uk

PhD Studentship in Aeronautics: High-Fidelity Simulation of Titan/Mars Entry 
Vehicles with PyFR (AE0061)

Start Date: Earliest start date is 1 August 2025 and latest start date is 1 July 
2026

Introduction and Objectives: Next-generation Entry, Descent, and Landing (EDL) 
systems for Titan and Mars must safely slow down increasingly large payloads. One 
particular challenge occurs during the transonic phase of descent, where the 
spacecraft is subject to aerodynamic instabilities that can cause uncontrolled 
oscillations, posing a significant risk of mission failure. This project will 
further develop the GPU-accelerated computational fluid dynamics flow solver PyFR 
(www.pyfr.org) – implementing improved shock capturing approaches and a full 6-DOF 
free-flight capability – and use it to study dynamic stability in the transonic 
phase of descent. The work will be undertaken in collaboration with Texas A&M 
University and NASA Ames.

Supervisors: The project will be computational, and led by Prof. Peter Vincent, 
with relevant multi-domain expertise in EDL technology provided by Prof. Oliver 
Buxton, Dr. Paul Bruce and Prof. Matthew Santer, who will all act as co-
supervisors.

Learning opportunities: You will develop expertise in high-order methods for 
computational fluid dynamics, novel cross-platform implementation paradigms, and 
transonic flow physics associated with entry vehicles for Titan and Mars. There is 
also significant scope for direct interaction with project partners at Texas A&M 
University and NASA Ames.

Professional Development: You will have access to engaging professional 
development workshops in areas such as research communication, computing and data 
science, and professional progression through our Early Career Researcher 
Institute.

Duration: 3.5 years.

Funding: Full coverage of tuition fees and an annual tax-free stipend of £21,237 
for Home, EU and International students. Information on fee status can be found 
at: www.imperial.ac.uk/study/pg/fees-and-funding/tuition-fees/fee-status/.

Eligibility: You must possess (or expect to gain) a First class honours MEng/MSci 
or higher degree or equivalent in a relevant field e.g. computer science, physics, 
mathematics, engineering etc. You should have experience of coding, ideally in 
Python, C, and CUDA. A passion for fluid dynamics, space exploration and a desire 
to work on interdisciplinary projects with real-world applications is important.

How to apply: Submit your application at: 
www.imperial.ac.uk/study/apply/postgraduate-doctoral/application-process/. You 
will need to include the reference (AE0061) and address your application to the 
Department of Aeronautics. When making your application, please type ‘Aeronautics 
Research (PhD)’ into the programme search bar.

For queries regarding the application process, please contact Lisa Kelly at: 
l.kelly@imperial.ac.uk

Application deadline: 9 January 2025

Equality, Diversity and Inclusion: Imperial is committed to equality and valuing 
diversity. We are an Athena SWAN Silver Award winner, a Stonewall Diversity 
Champion, a Disability Confident Employer and are working in partnership with 
GIRES to promote respect for trans people.

Increasing the power density of traction motors is a critical challenge for the 
next generation of electric vehicles. Combining hairpin windings with direct oil 
cooling has emerged as a popular solution, but optimising the design of such 
systems requires a deep understanding of fluid dynamics and heat transfer. The 
formation of the oil film on windings is influenced by various factors, including 
jet parameters and winding geometry, making the design process complex and 
computationally expensive when relying on traditional high-fidelity Computational 
Fluid Dynamics (CFD) simulations. This PhD project aims to develop a data-driven 
framework that integrates experiments, CFD, and Machine Learning (ML) to co-
optimise the hairpin winding geometry and oil injector parameters for enhanced 
cooling performance. 

Funding
Funded by: China Scholarship Council
Candidate will need to secure a CSC scholarship.
Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, 
whilst the CSC will provide living expenses and one return flight ticket to 
successful applicants.

Eligibility
The minimum requirement for this studentship opportunity is a good honours degree 
(minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
For 2024-5, the UKRI and Queen Mary stipend rate is £21,237;
If English is not your first language, you will require a valid English 
certificate equivalent to IELTS 6.5+ overall with a minimum score of 6.0 in 
Writing and 5.5 in all sections (Reading, Listening, Speaking).
Candidates are expected to start in September (Semester 1).

Spar Systems is at the forefront of solving one of the most pressing challenges 
in the tech industry: the Data Center waste heat problem. We are building a 
first-of-its-kind tech to regenerate renewable power from data center exhaust 
heat. We're pioneering this innovative solution in a $20B+ market within the 
data center industry, with even larger potential across thermal power generation 
and general manufacturing sectors. The product has the potential to transform 
industries by substantially reducing net power requirements and carbon 
footprint.

Key highlights of our company
- Multiple patents
- Grant funds awarded from the Department of Energy (DOE) in partnership with 
Oak Ridge National Labs
- Engaged in pre-contract discussions with several multi-billion dollar data 
center companies for deployment once the product is ready for commercial release
We're seeking talented and experienced mechanical engineers to join our team in 
the greater New York City area to spearhead the development work.

Job Description
We are looking for a skilled Lead Mechanical Engineer with a strong background 
in computational physics, hands-on testing, and new product development. The 
ideal candidate will play a crucial role in leading the design, simulation, and 
prototyping of cutting-edge mechanical systems.

You will be responsible for analytical and numerical analyses of concepts. You 
will use deep knowledge of physics, especially fluids, turbomachines and 
aerodynamics to analyze and develop performance estimates. A combination of 
systematic thinking, engineering tinkering, imagination and pragmatic decision 
making is necessary. Being able to quickly learn new skills and tools is a must. 
But above all, having a natural intuition for solving technical problems is the 
core skill requirement.

Key Responsibilities
-CAD modeling, CFD, Multiphysics modeling, product engineering, 
production/manufacturing skills
- Direct hands-on testing and experimentation to validate designs and improve 
performance
- Spearhead prototyping efforts for new product development initiatives
- Analyze test results and provide data-driven recommendations for design 
improvements
- Maintain up-to-date knowledge of industry trends and emerging technologies
- Contribute to strategic planning and technical roadmap

How to Apply
Please submit your resume to info@sparsystems.com. Include "Lead Mechanical 
Engineer - [Your Name]" in the subject line.

Requirements
- Bachelor's degree in Mechanical Engineering or related field (Master's degree 
preferred)
- Minimum 3 years of experience in mechanical engineering product development 
role
- Proven track record in product development and project management
- Proficiency in CAD and CFD. Strong background in computational physics and 
modeling
- Hands-on experience with prototyping, testing, and design iteration

Preferred Qualifications
- Experience in thermal management, energy efficiency, or data center 
infrastructure
- Experience with First of a Kind (FOAK) development
- Design for manufacturability (DFM) experience
- Interesting personal side projects

Location
Greater New York City area. Candidates willing to relocate will be considered.

What We Offer
- Competitive salary commensurate with experience
- Stock options
- Challenging and demanding work environment with very high speed
- High-impact role with significant control and responsibility
- Open environment that welcomes and encourages new ideas

Only 4 positions open. If you are 
strongly interested in carrying out 
PhD for 3 to 4 years with full 
dedication, kindly apply at the 
following link.

Link : 
https://admissions.vit.ac.in/phdappl
ication/login?
utm_source=V73JY6T8&utm_campaign=phd
dec2024

Last date : 25 Nov 2024
Subject domains : Computational 
fluid dynamics, Heat transfer, 
Vortex flows, Machine Vision, Image 
processing

Place : Vellore Institute of 
technology, Chennai, India

For queries, kindly email to 
manimaran.r@vit.ac.in