Description of the research topic

Air pollution is estimated to cause 4.2 million premature deaths worldwide in 
2016, and in 2019 almost 99% of the world's population breathed air exceeding the 
guideline limits. 
Pollution from traffic emissions as well as industries represent a serious 
treatment for the outdoor-indoor air quality and heath of people. In particular, 
the aerosol particle 
dispersion induced by external atmospheric wind is regarded as one of the main air 
pollutants. Aerosol particles can survive for a certain time and travel through 
indoor air 
currents, especially in buildings not equipped with an efficient mechanical 
ventilation system (MVS). To improve the air quality, more efficient and greener 
MVS can be 
installed, however, most of the times this is not duable in a large range of 
buildings. Air cleanings (AC) could be adopted instead, however, it is still not 
sufficiently clear 
how MVS and AC can improve the indoor air quality by reducing the aerosol particle 
concentration induced by atmopsheric winds. The goal of this project is to 
evaluate 
ventilation strategies that allow preventing risk exposure of people while 
reducing energy consumption. Scenarios including different workspaces (as office 
and classrooms) will 
be analyzed by laboratory measurements and simulations of computational fluid 
dynamics to understand benefits/limitations of AC and MVS. Recommendations towards 
a sustainable 
development of buildings and work activities will be proposed.

Research team and environment

The PhD candidate will carry out research study of three years at IUSS of Pavia, 
in the CARISMA group, in close collaboration with the international company 
PlasmaMade 
(Netherlands) leader in the field of air cleaning, pollutant reduction, mitigation 
and risk management for the health and security work. The student will be co-
supervised by Dr. 
Alessio Ricci from IUSS (Italy), prof. Bert Blocken from Heriot-Watt University 
(UK) and an expert from the international company PlasmaMade (Netherlands). The 
candidate will 
benefit from the extensive experience of these teams in climatology, 
measuring/modeling of atmospheric winds and aerosol concentration, air quality 
assessment, risk management 
of natural and anthropogenic hazards.

Suggested skills for this research topic

The candidate should have knowledge of computational fluid dynamics (CFD), finite 
volume method, data analysis and statistics. Programming skills in 
Matlab/Python/C++ and 
knowledge of signal processing could also be beneficial. Team working attitude and 
excellent knowledge of spoken and written English are highly required.

Application procedure

PhD announcement at the official page of the National Doctoral School in 
"Sustainable Development and Climate Change (PhD-SDC)", scholarship code 
"C40.CU1.16":

https://cdn.prod.website-
files.com/6385bb3cf3f99b869a10cf43/667d0f9fbbc3503f2684e52a_PhD%20SDC%20Call%2040%
20Cycle.pdf

How to apply: https://pica.cineca.it/iuss/dottorato-40/

Deadline for application: 29th of July 2024.

More information about the national doctoral school in "Sustainable Development 
and Climate Change (PhD-SDC)" can be found at: https://www.phd-sdc.it/

For more information about this vacancy, please contact alessio.ricci@iusspavia.it

The Research Center Pharmaceutical Engineering GmbH (RCPE) is a global leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes.

For our team / area 1 "Science of Quality"
we are looking for an active highly qualified (m/f/x)

SCIENTIST (with possibility to do a PhD)
Computational Fluid Mechanics and Reduced-Order Modeling

Ref.No. SK113


Duties and responsibilities:
Develop and apply methods simulate filtration processes for protein fractionation that take into account the fluid mechanics of the process including the filter cake:
o Developing competence in fluid mechanics
o Learning numerical methods and computational fluid dynamics (CFD)
o Learning to develop user-defined submodel for CFD simulations
o Setting up models for multiphase CFD simulations
o Performing and analyze multiphase CFD simulations
o Developing reduced-order models based on CFD simulation results
o Actively participating in project teams and scientific networks
o Writing project reports and publish research in reputed journals
o Presenting results at internal meetings at international conferences partners and colleagues


Requirements:
o A technical or natural scientific MS degree and interest in pursuing a PhD degree
o Interest in performing research at the interface of basic science and industrial
application
o Professional conduct and communication skills in dealing with international clients, partners and colleagues
o Interest and experience in performing top-level and target-oriented research at the interface of basic science and industrial application


We offer:
o A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology
o Opportunities for career development at the academic and industrial level
o A competitive salary (min. € 42.000,- gross/year, overpayment - depending on qualification - possible).
o Possibility to work part-time


At RCPE, we place a strong emphasis on promoting diversity and inclusion. 
We are also committed to encouraging women to explore opportunities within our technical environment. 
We actively encourage applications from women and, when candidates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications.

We are looking forward to receiving your application via our website including your CV and a cover letter.

The Research Center Pharmaceutical Engineering GmbH (RCPE) is a global leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes.

For our team / area Science of Quality
we are looking for an active, highly qualified

(PhD) SCIENTIST

Computational Fluid Mechanics
Ref.No SK114


Duties and responsibilities:
Develop and apply simulation methods for freeze drying (lyophilization) processes, including equipment- and vial-scale CFD (computational fluid dynamics) models as well as reduced-order models and digital twins based on those simulations. Activities will focus on the improvement and development of simulation methods that take into account the elements of freeze-drying processes, including:
o Developing competence in fluid mechanics
o Learning numerical methods and computational fluid dynamics
o Setting up, performing and analyzing computational fluid dynamics models for rarified multi-component flow
o Developing reduced-order models based on results from computational fluid dynamics simulations
o Actively participating in project teams and scientific networks
o Writing project reports and publishing research in reputed journals
o Presenting results at internal meetings and at international conferences with partners and colleagues


Requirements:
o A technical or natural scientific MS degree (e.g. chemical engineering, mechanical engineering, mathematics, physics, …) and interest in pursuing a PhD degree
o Knowledge in CFD modeling as well basic knowledge in programing languages (Phyton, C++) as an advantage
o Interest in performing research at the interface of basic science and industrial
application
o Professional conduct and communication skills in dealing with international clients, partners and colleagues
o Interest and experience in performing top-level and target-oriented research at the interface of basic science and industrial application


We offer:
o A multidisciplinary and dynamic research environment and access to highly modern infrastructure on campus of Graz University of Technology
o Opportunities for career development at the academic and industrial level
o A competitive salary (min. € 42.000,- gross/year, overpayment - depending on qualification - possible).
o Possibility to work part-time


At RCPE, we place a strong emphasis on promoting diversity and inclusion. 
We are also committed to encouraging women to explore opportunities within our technical environment. We actively encourage applications from women and, when candidates possess equivalent qualifications, we give preference while considering all relevant aspects and circumstances of all applications.

We are looking forward to receiving your application via our website including your CV and a cover letter.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computational Fluid Dynamics (CFD) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine, and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat, and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, and automated mesh/re-mesh for moving components. 

With our continued expansion in the industry, we are seeking applications for an 
AI Engineer who will work on implementing the companies’ generative AI 
developments under the guidance of the development team.

•	Use Python to implement generative AI solutions for Simerics-MP+
•	Keep abreast of the latest developments in the field of generative AI
•	Identify the most promising approaches and update according to the 
evolution of the field
•	Develop a strong understanding for a variety of CFD applications such as 
pumps, valves, vehicles, marine etc…
•	Develop proposals for future work
•	Collaborate with project and sales engineers to incorporate inputs into 
the solution

Required qualifications:
•	A Bachelors degree in engineering, mathematics, physics, or a similar 
discipline. 
•	Background and coursework in fluids/thermal field.
•	Excellent and demonstrable command of Python. 
•	Exposure to advanced engineering simulation tools.

Not required, but beneficial:
•	Exposure to performing development using generative AI will be a major 
plus: LLMs, fine-tuning, retrieval augmented generation (RAG) etc…
•	Masters degree in engineering, mathematics or physics with 
fluids/thermal emphasis.
•	Prior experience performing software development using Python.
•	Knowledge of machine learning and specifically, deep learning.

Salary and Benefits:
• We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. 
• Family general, dental and vision insurance.
• Bonus based on performance.
• 401-K match.

If interested, please send your resume to Dr. Sujan Dhar, at sd@simerics.com.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computer Aided Engineering (CAE) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, automated mesh/re-mesh for key components especially moving 
components. 

With our continued expansion in the industry, we are currently seeking CFD 
project engineers to help meet the increasing demand in our Detroit office. The 
project engineer is responsible for providing expertise and developing CFD 
methods and will work closely with the customer and solver developers to 
communicate simulation results and recommendations. The candidate will use 
Simerics’ own software Simerics-MP/Simerics-MP+ to perform required simulations, 
in conjunction with Computer Aided Design (CAD) tools such as SolidWorks, PTC 
Creo, SpaceClaim, Python, and etc.

Detailed job responsibilities include:
CFD/CAE Applications:
• Develop 3D simulation models for various thermal/fluid applications including 
electric motor cooling for electric cars, battery cooling, fuel injection, oil 
splash in transmission gearbox, positive displacement pumps, valves, vehicle 
thermal management, and etc.
• Research and development of new methods and simulation processes to provide 
fast and accurate simulation strategy for customer’s product development.
• Analyze the dominant physics involved in the system (flow, multiphase, 
cavitation/aeration, pressure ripple, temperature, torque/power)
• Identify the critical parameters and perform optimization to improve product 
performance and design
• Interpret simulation results and prepare high-quality presentations.
• Participate in conferences and publish research articles.

Technical Training/Support:
• Provide modeling and simulation guidance and assistance to the users of 
Simerics, from pre-processing in CAD, simulation setup to post-processing.
• Training and interact with customers to analyze the technical needs, deliver 
reports and reviews, and provide solutions to clients’ technical challenges.
• Prepared and presented technical documents to show the features and 
capabilities of Simerics at conferences client meetings.

Required Qualifications:
• A Ph.D. degree in engineering, mathematics, physics or similar discipline with 
emphasis on thermal fluid. Or a master's degree with 3+ years equivalent 
industrial experience.
• Solid understanding of numerical methods, such as finite volume and finite 
difference methods.
• Strong technical background in fluid mechanics, heat transfer, thermodynamics.
• Highly motivated and dynamic, strong interpersonal and communication skills, 
be a team player
• Demonstrated skills in writing and presenting in fluent English
Desired Qualifications:
• Demonstrated experience programming in C, C++, FORTRAN, or Python.
• Familiarity with Linux and parallel computation.
• Experience with the use of commercial and/or non-commercial CFD tools in 
solving flow problems.
• Experience in multiphase flow, phase change.
• CAD experience (SolidWorks, Creo, CATIA, AutoCAD, or NX).
We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. If interested, please send your CV to the hiring 
manager, Dr. Chiranth Srinvasan, at cs@simerics.com.

Simerics Inc. is a global technology company that develops, markets, and 
supports Computational Fluid Dynamics (CFD) software widely used by OEMs and 
suppliers in various industries all over the world, with applications in 
automotive, hydraulics, marine, and aerospace. The Simerics team is comprised of 
scientists and engineers who have been among the pioneers in the development and 
application of multipurpose computational physics since the early 1980s. This 
knowledge and experience are combined with new advances in computational 
physics, computational geometry, and software engineering to provide our clients 
with the next generation of simulation tools. Our team members are smart, 
motivated, friendly, and interesting people, most of whom hold a Ph.D.

Simerics Inc. offers two state-of-art general-purpose CFD tools: Simerics-MP and 
Simerics-MP+. Simerics-MP features a parallel solver that yields accurate and 
fast simulation for multi-purpose (MP) applications involving single-phase or 
multiphase flow, turbulence, cavitation/aeration, heat, and mass transfer, 
particle and fluid-structure interaction. Simerics-MP+ includes all the 
capabilities of Simerics-MP with additional features such as streamlined setup 
procedures, and automated mesh/re-mesh for moving components. 

With our continued expansion in the industry, we are seeking applications for a 
Software Developer with experience in GPU development. The primary tasks 
associated will be

•	Design the framework and architect Simerics’ GPU solvers
•	Accelerate the implementation of multi-GPU simulation methods and 
algorithms
•	GPU-specific algorithm developments for our physics solvers and mesh 
generators
•	Validation and verification of all developments and benchmarking of 
implementations

Required qualifications:

•	Experience in commercial or academic CFD software development with a 
focus on High Performance Computing
•	Extensive and demonstrable experience in CFD code development for GPUs
•	Hands-on experience with libraries such as (but not limited to) CUDA, 
Kokkos, OneAPI etc…

Not required, but beneficial:

•	Broad knowledge of the state-of the-art in GPU code development for 
computational physics.
•	Strong programming knowledge and experience using C++
•	Clear understanding of fluid mechanics, heat transfer and other major 
physics in CFD software
•	Graduate degree in engineering, mathematics or physics with 
fluids/thermal emphasis.

Salary and Benefits:
• We sponsor H1-B working visa, but only the candidates in the US will be 
considered at this time. 
• Family general, dental and vision insurance.
• Bonus based on performance.
• 401-K match.

If interested, please send your resume to Dr. Sujan Dhar, at sd@simerics.com.

Fully funded PhD Studentship - Modelling and numerical simulation of fuel 
combustion in a blast tube.

To apply: https://www.findaphd.com/phds/project/modelling-and-numerical-
simulation-of-fuel-combustion-in-a-blast-tube/?p87745


Gaseous detonation and the resulting blast waves pose significant risks to both 
people and facilities. Accurate modelling of these phenomena is crucial for 
safety assessments and risk mitigation. This full-time PhD project is funded by 
AWE (Atomic Weapons Establishment), in collaboration with Kingston University 
London, to tackle some complexities and advance the understanding of detonation 
and blast waves from fuel combustion in tunnels. The research project will 
involve the development and implementation of combustion and fluid dynamics 
models, and numerical approaches, within the frame of computational Fluid 
dynamics (CFD). The project will also involve CFD simulations and validation of 
the models using experimental data. A general understanding and familiarity with 
CFD is a requirement for this role. Details of the project can be discussed upon 
request.

For further details and to discuss a prospective application, please contact: Dr 
Siaka Dembele  s.dembele@kingston.ac.uk

 
Eligibility: UK Citizens only can apply for this position. We are looking for an 
excellent, enthusiastic, independent and self-motivated candidate, holding a 
Master’s degree (e.g. MSc) with Distinction or Merit or a 4-year undergraduate 
(e.g MEng) First Class or Upper Second Honours in a relevant subject, e.g. Fire 
Engineering, Fluid Dynamics, Mechanical Engineering, Physics or a related field. 
Applicants are expected to have an enquiring and rigorous approach to research, 
and should demonstrate excellent teamwork, communication and reports writing 
skills. Familiarity with the opensource OpenFOAM code would be an advantage.

 Deadline for applications:   1300 GMT on 16 August 2024

 Interviews (to be confirmed):  online in mid to late September 2024

 Start date (to be confirmed):  Early October 2024

 Duration:  4 years full-time 

Post-Doctoral Position in Applied CFD for Wastewater Disinfection Process 
Analysis
We are pleased to announce a 12-month post-doctoral position for a highly 
qualified individual with expertise in applied Computational Fluid Dynamics 
(CFD), specifically using Ansys Fluent. This position is part of a WRF project 
entitled "Performic Acid Disinfection in Wastewater Effluent and CSOs in Context 
of Disinfection By-Products and Future Ambient Water Quality Criteria for 
Viruses" and involves conducting advanced modeling studies on pilot and full-
scale disinfection facilities. The research will integrate chemical 
decomposition/decay, microbial inactivation kinetics, and reactor hydraulics 
within both deterministic and stochastic frameworks.
Key Responsibilities:
•	Conducting CFD modeling studies using Ansys Fluent.
•	Integrating chemical decomposition/decay processes, microbial 
inactivation kinetics, and reactor hydraulics in models.
•	Developing and validating models for both pilot and full-scale 
disinfection facilities.
Qualifications:
•	Expertise in applied CFD, particularly with Ansys Fluent.
•	Experience with reactive fluids and open channel systems is preferred.
•	Eligibility to legally work in Canada.
•	Strong analytical and problem-solving skills.
•	Ability to work independently and within a research team.
Application Process:
If you are interested in this position or know someone with the relevant 
expertise and qualifications, please forward your resume to dsantor@uwo.ca. The 
position will remain open until filled, and only highly qualified candidates 
will be contacted for an interview. We look forward to receiving applications 
from motivated and skilled individuals ready to contribute to our innovative 
research project.

Applications are invited from suitable candidates for a PhD position with 
Scholarship. The selection will be based on a competitive screening and ranking 
process.