Convergent Science is an innovative, rapidly expanding computational fluid 
dynamics software company. We specialize in modeling turbulent reacting flows 
with our flagship product, CONVERGE, which is a revolutionary CFD software with 
truly autonomous meshing capabilities. Convergent Science is headquartered in 
Madison, Wisconsin, and has offices in the United States, Europe, and India.

Position Overview:

We are currently seeking a software developer in our headquarters, located in 
Pune, India. This position will involve developing tools using C++ and Python. 
You will develop a cross-platform 3D modeling front-end application for our 
computational fluid dynamics (CFD) solver using the latest software development 
methodologies and tools. You will also extend and enhance established products 
written in C++ with Qt4/5 and its Python wrapper.

Duties include (but are not limited to):

* Work closely with cross-functional teams (solver, GUI, research, and support 
team) in requirements gathering and software design
* Resolve high-level design and functional issues
* Code your own design in C, C++, and Python
* Assist in supporting various Test and Design Engineering activities

Required Qualities and Skills:

* Bachelor’s degree or equivalent in computer science or related field
* Experience developing C++ based applications
* Good knowledge of graphical user interface (GUI) programming in Qt4/5
* Good knowledge of data structure, design patterns, UML, and Git
* Preferably prior experience in OpenGL and software development using LINUX 
platform
* Strong interpersonal skills 
* Ability to work independently and as a team

The ideal candidate will have a bachelor’s degree in computer science or a 
related 
field, and we are accepting applications from recent graduates. Interested 
applicants should send their resume and salary requirements.

RESEARCH ENGINEER: SOFTWARE DEVELOPMENT

Convergent Science is an innovative, rapidly expanding computational fluid 
dynamics software company. We specialize in modeling turbulent reacting flows 
with our 
flagship product, CONVERGE, which is a revolutionary CFD software with truly 
autonomous 
meshing capabilities. Convergent Science is headquartered in Madison, Wisconsin, 
and has offices in the United States, Europe, and India.

Position Overview
This job posting is for a full-time position at our Pune, India office. We are 
seeking a CFD software developer.

Duties include:
+ Develop CFD codes for large-scale flow simulations
+ Utilize C, C++, and MPI for CFD engineering software development
+ Collaborate with support and sales engineers to incorporate specific models 
into CONVERGE
+ Run cases with new features and share results
+ Develop proposals for future work
+ Implement and validate multi-phase, multiphysics flow models
+ Implement and validate turbulence models
+ Implement and validate combustion models
+ Implement and validate Lagrangian spray models
+ Debug parallel code

Requirements:
+ M.S. or Ph.D. in mechanical engineering, aerospace engineering, computer 
science, mathematics, or related field
+ Extensive CFD knowledge (desirable) 
+ Combustion modeling knowledge (desirable)
+ Turbulence modeling knowledge (desirable)
+ Spray modeling knowledge (desirable)
+ Excellent written and verbal communication skills
+ HPC knowledge (desirable)
+ Experience programming with MPI
+ C++ programming experience (desirable)

Benefits:
+ Salary commensurate with experience
+ Possible annual bonus
+ Paid holidays and paid time off

RESEARCH ENGINEER: APPLICATIONS

Convergent Science is an innovative, rapidly expanding computational fluid 
dynamics software company. We specialize in modeling turbulent reacting flows 
with our flagship product, CONVERGE, which is a revolutionary CFD software with 
truly autonomous meshing capabilities. Convergent Science is headquartered in 
Madison, Wisconsin, and has offices in the United States, Europe and India.

Position Overview: 

This job posting is for a full-time position at our Madison, Wisconsin office. 
We are seeking an engineer to support, train and perform consulting services for 
our clients.

Benefits:
+ Salary commensurate with experience
+ Stable and fast growing company
+ Dynamic team in a great working environment
+ Technically challenging and interesting job 
+ Highly diverse simulation topics / areas of application

Requirements: 
+ M.S. or Ph.D. in mechanical engineering or related field
+ Extensive CFD knowledge
+ Internal combustion engine simulation knowledge (desirable)
+ Combustion, turbulence, and spray modeling knowledge (desirable)
+ Chemical kinetics background (desirable)
+ Background in MPI and C programming (desirable)
+ Excellent written and verbal communication skills
+ Very good English skills necessary
+ Additional languages (e.g., German, French, Italian, Swedish, Spanish) are 
desirable

Client on-site visits and conference attendance will be required from time to 
time – applicants should be willing to travel. In addition to the technical 
knowledge required for this position, applicants should be outgoing, creative 
and highly motivated. 

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

RESEARCH ENGINEER: SOFTWARE DEVELOPMENT

Convergent Science is an innovative, rapidly expanding computational fluid 
dynamics software company. Convergent Science has developed a CFD software 
package, called CONVERGE, that is a general CFD code which is a revolutionary 
CFD software with truly autonomous meshing capabilities. Convergent Science is 
headquartered in Madison, Wisconsin, and has offices in the United States, 
Europe, and India.

Position Overview
This job posting is for a full-time position at our Madison, Wisconsin 
headquarters. We are seeking a CFD software developer.

Duties include:
+ Develop CFD codes for large-scale flow simulations
+ Utilize C, C++, and MPI for CFD engineering software development
+ Collaborate with support and sales engineers to incorporate specific models 
into CONVERGE
+ Run cases with new features and share results
+ Develop proposals for future work
+ Implement and validate multi-phase, multiphysics flow models
+ Implement and validate turbulence models
+ Implement and validate combustion models
+ Implement and validate Lagrangian spray models
+ Debug parallel code

Requirements:
+ M.S. or Ph.D. in mechanical engineering, aerospace engineering, computer 
science, mathematics, or related field
+ Extensive CFD knowledge (desirable) 
+ Combustion modeling knowledge (desirable)
+ Turbulence modeling knowledge (desirable)
+ Spray modeling knowledge (desirable)
+ Excellent written and verbal communication skills
+ HPC knowledge (desirable)
+ Experience programming with MPI
+ C++ programming experience (desirable)

Benefits:
+ Salary commensurate with experience
+ Possible annual bonus
+ Paid holidays and paid time off
+ 401k with employer match
+ Health and dental insurance
+ Short- and long-term disability insurance and life insurance

Application Instructions
Interested applicants should send their resume and salary requirements

RESEARCH ENGINEER: APPLICATIONS

Convergent Science is an innovative, rapidly expanding computational fluid 
dynamics software company. We specialize in modeling turbulent reacting flows 
with our flagship product, CONVERGE, which is a revolutionary CFD software with 
truly autonomous meshing capabilities. Convergent Science is headquartered in 
Madison, Wisconsin,and has offices in the United States, Europe and India.

Position Overview
This job posting is for a full-time position at our Linz, Austria office. We are 
seeking an engineer to support, train and perform consulting services for our 
clients.

Benefits:
+ Salary commensurate with experience
+ Stable and fast growing company
+ Dynamic team in a great working environment
+ Technically challenging and interesting job 
+ Highly diverse simulation topics / areas of application

Requirements: 
+ M.S. or Ph.D. in mechanical engineering or related field
+ Extensive CFD knowledge
+ Internal combustion engine simulation knowledge (desirable)
+ Combustion, turbulence, and spray modeling knowledge (desirable)
+ Chemical kinetics background (desirable)
+ Background in MPI and C programming (desirable)
+ Excellent written and verbal communication skills
+ Very good English skills necessary
+ Additional languages (e.g., German, French, Italian, Swedish, Spanish) are 
desirable

Client on-site visits and conference attendance will be required from time to 
time – applicants should be willing to travel. In addition to the technical 
knowledge required for this position, applicants should be outgoing, creative 
and highly motivated. 

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

In the framework of a Marie Skłodowska-Curie European Industrial Doctorate 
(EID) program H2020, project ASIMIA, NUMECA and the School of Aeronautics - 
Universidad Politécnica of Madrid (ETSIAE-UPM)  are looking for a PHD 
Candidate in CFD Development.

Both teams, at UPM and NUMECA have a strong background in Computational 
Fluid Dynamics, high order methods, multi-physics and High-Performance 
Computing. 

NUMECA Int., a worldwide operating CFD software company, develops 
engineering flow simulation software widely used by engineers and designers 
in a large range of fluid engineering applications, from  Aerospace, Power 
Generation, Energy to Race Cars and Ships. NUMECA has its headquarters in 
Brussels (Belgium), subsidiaries in San Francisco (USA), Mons (Belgium), 
Tokyo (Japan), Bangalore (India), Beijing (China) and Hong-Kong and is 
active worldwide through its network of agents and partners in Asia, Europe 
and America.

The Universidad Politécnica de Madrid (UPM) is the oldest and largest 
Spanish technical University, with more than 4.000 faculty members, around 
48.000 undergraduate students and 6.000 postgraduates in 21 Schools of 
study. UPM Schools cover most of engineering disciplines, including 
Aeronautics. The School of Aeronautics ETSIAE-UPM is one the best schools of 
engineering in Spain and the oldest providing an aeronautical degree. 
ETSIAE-UPM was ranked 41st of the world in Shanghai’s ranking for 
aeronautical engineering in 2017. The Dept. of Applied Mathematics at 
ETSIAE-UPM (http://matap.dmae.upm.es/numath/) offers a young dynamic 
environment, where currently 12 PhD students and 20 academics perform 
research in fluids and numerical methods. 

* What is the opportunity?

The PhD topic is oriented at the capabilities of current aerodynamic based 
High Order Methods (HOM) for Computational Fluid Dynamics (CFD).

Description of the PhD position: Curved mesh generation for HOM: high-
fidelity surface representation and mesh adaptation strategies based on 
selective h-p strategies.

The PhD candidate will be required to spend half of the time in Madrid, at 
the School of Aeronautics - Universidad Politécnica of Madrid (ETSIAE-UPM), 
in the Applied Mathematics department and the other half in Brussels at 
NUMECA.


* Requirements:

Mandatory technical skills and experience:
- Degree in engineering, aeronautics, applied mathematics or physics, or 
equivalent expertise: MEng or MSc grade and less than 4 years of full time 
research experience (entitled to enter in a PhD programme)
- Excellent computational skills and interest in CFD programming (e.g. C++, 
Fortran) and fluid modelling are expected
- Familiarity with multiphase flows and turbulence modelling is not required 
but would be an asset

Language skills:
- Fluent English language is a prerequisite for the role. 
- French, Spanish and Dutch are a plus. 

You should be highly motivated and dynamic, have good communication and 
analytical skills, be a stress-resistant problem solver, and be a team 
player able to meet the highest quality standards. 


* What do we offer?

The position includes a very competitive 3 year scholarship based on 
European project standards. (1.5 years under a contract in Belgium and 1.5 
years in Spain under a contract with School of Aeronautics - Universidad 
Politechnica of Madrid (ETSIAE-UPM). We also offer to work in a stimulating, 
young and multicultural environment. 


* How to apply?

Please send cover letter and resume plus relevant technical papers, reports, 
references, etc. to jobs@numeca.be. Indicate clearly the reference job 
number: DEV18-10.

CEMWorks Inc. is seeking to hire a new member of the Research & Development team to 
facilitate the work 
on current and future projects with the focus on problems in computational geometry. The 
ideal candidate for 
this position is interested in cutting-edge techniques for numerical modeling and enjoys 
solving scientifically 
challenging problems. 

Writing code to test novel and well-established concepts for fast and accurate solution of 
computational 
challenges will constitute the major part of the job. The new team member is also expected to 
participate in 
code testing/verification/validation, fixing software errors and present the work results in a 
form of research 
reports, presentations, conference and journal papers.

Responsibilities
•	Develop innovative and novel algorithms for processing and computational geometry
•	Design algorithms and test their implementation on practical examples 
•	Write well-designed, testable computer code that can be integrated into the existing 
framework
•	Prepare software documentation according to company’s standards
•	Improve general code performance and adapt it to high-performance computing software 
& hardware 
architectures
•	Deploy software in a high-performance environment, perform and analyze numerical 
simulations

Qualifications
•	Ph.D. degree or equivalent experience in quantitative research field (engineering, 
computational physics, 
mathematics, computer science, etc.). 
•	Experience with algorithms for meshing, ray-tracing, and related algorithms
•	Knowledge of numerical techniques for computational sciences is a plus
•	Fluency in C++ is required. Experience with coding for
high-performance computing environment and parallel programming technologies (OpenMP, 
TBB, MPI, etc.)
is an advantage
•	Familiarity with general principles of a software development process
•	Strong math background, primarily with a focus on linear algebra, computational 
geometry, differential 
equations
•	The desire to work on cutting-edge techniques for computational physics applied to real-
world projects

Ph.D. in Computational Plasma Flows

To enable a future based in renewable electricity, electric power has to be channeled to produce the reactivity that fuels society. Plasmas – electrically-conducting gases formed by electrical discharges – are ideal means to produce such reactivity, as amply exploited in diverse applications in materials, manufacturing, and energy. An especially important research frontier is the interaction of plasma with liquids, found in novel applications in materials and chemical synthesis, environmental remediation, bioengineering and medicine.

Plasma flows are reactive electromagnetic gas flows that present some remarkable microscopic and macroscopic characteristics, from unique chemical kinetics to self- organization. The computational description of plasma flows present compound challenges found in other CFD applications, such as multi-scale resolution, multi-physics coupling, and multi-phase interactions.

We invite applications for up to two Ph.D. research assistantship positions in the Department of Mechanical Engineering at the University of Massachusetts Lowell (UMass Lowell). The successful applicants will work under the supervision of Prof. Juan Pablo Trelles at to conduct research in novel numerical methods for plasma-liquid flows. More information about research being conducted at Prof. Trelles’ lab is found in: https://sites.uml.edu/juan- trelles/ and https://www.uml.edu/Research/Energy/. The assistantships include complete tuition and fees waivers and graduate student stipends.

Qualifications:

- B.S. or M.S. degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Applied Mathematics, or closely related areas.

- Experience in numerical methods and computational fluid dynamics.

- Programming experience (preferably in C++/C or Fortran).

- Good English communication skills (writing and oral).

Desired Experience:

- Plasma, reacting, compressible, and/or magnetohydrodynamic flows.

- Finite element methods, or other unstructured mesh methods.

- Use and development of large-scale CFD codes.

- High performance computing (Linux development, profilers, parallel processing).

To Apply:

Interested applicants should send as a single PDF document to: cfdsearch.uml@gmail.com containing:

1. Resume/Curriculum Vitae.

2. Copies of transcripts.

3. Copies of relevant publications, professional (journal articles, conference proceedings) or academic (project reports, academic thesis).

Optional (but highly desirable):

4. Samples/portions of computing codes authored by the applicant.

5. TOEFL and GRE scores (needed to apply to Graduate programs in the U.S.).

Successful applicants will be directed to apply to the Department of Mechanical Engineering (https://www.uml.edu/Catalog/Graduate/Engineering/Mechanical- Engineering/Doctoral-Program.aspx). Prof. Trelles will arrange the waiving of application fees. Review of submissions will begin December 6, 2019 and will proceed until January 25, 2020.

About Lowell and UMass Lowell:

The city of Lowell is located at a 30-minute ride from Boston, in the high-tech region of Massachusetts in the U.S. northeast coast. Lowell is among the most cosmopolitan cities in the U.S., has a rich history as the cradle of the industrial revolution, and its downtown area is a National Historical Park. More information about the city of Lowell, please visit: http://www.likelowell.com .

UMass Lowell has a distinguished reputation in science and engineering and is committed to educating students for lifelong success and conducting high-quality research. UMass Lowell is a Carnegie Doctoral High Research university and is ranked in the top tier of the US News and World Report's national university ranking. Annual funded research expenditures exceed $60 million and research is deeply integrated throughout the campus, including 37 interdisciplinary centers and institutes. For example, the new $80 million interdisciplinary Emerging Technologies and Innovation Center houses state-of-the-art facilities for advanced materials, manufacturing, nanotechnology, and energy research. UMass Lowell is within the 5 most rapidly growing institutions among academic rankings in the U.S. The Department of Mechanical Engineering has more than 30 faculty, 200 graduate, and 600 undergraduate students.

Position description

Recruitment in the group of Prof. Roohi, ICAM) Xi'an Jiaotong University, China. 
Introduction: Professor Ehsan Roohi joined Xi'an Jiaotong University in September 2019. Dr. Roohi has strong publication record (H-index: 22, citations>1400) and his research has been published in Physics Reports (IF=28), JFM, JCP, PRE, PoF, with international collaborators in Bulgaria, Switzerland, and Germany. 
The International Center for Applied Mechanics (ICAM) is the first of its kind major research center for applied mechanics in China. It also serves as a "special zone" to support talented young researchers to develop ambitious research plans. 
http://icam.xjtu.edu.cn 
Recruitment: The group is now actively recruiting 1 postdoc working in the field of large eddy simulation of cavitating flow. 
 
Qualifications: Suitable candidate for the postdoc position will hold a Ph.D. in a relevant field in Engineering and Physics. Note that the accomplishment of the Ph.D. degree is a requisite. He should be highly motivated and capable of conducting research independently. International candidates can apply. Applying students should have a strong background in large eddy simulation and numerical coding, specifically OpenFOAM. 
Application: Please send your resume (including education, work and research experience, main scientific achievements and contact information of three academic referees) and representative publications to e.roohi@xjtu.edu.cn 
Only shortlisted applicants will be contacted.

Application deadline : 31/11/2019 
Other information: 
- Postdoc duration: 2 years 
- Salary: 150,000 RMB per year (plus 60,000 RMB after the end of contract if the employee fulfils the contract conditions) 
- Starting date: The position is available immediately 

The Fluids and Combustion Modeling (FCM) group in the Department of Mechanical
Engineering at the University of Tennessee Chattanooga (UTC) has open positions
for graduate (PhD) students in the area of computational modeling of turbulence and 
chemically reacting turbulent flows. The positions are available starting Fall
2020.

The graduate student will be responsible for developing and applying novel and
advanced computational tools and multi-scale models for high-fidelity 
investigation of turbulent flows observed in applications such as naval and 
rotorcraft systems, energy conversion and propulsion devices, spray, energetic 
materials, etc. 

Required Qualifications:
• A BS or MS degree in mechanical or aerospace engineering, or other closely
related fields
• A strong background in fluid mechanics, thermal sciences, and numerical 
methods
• Strong hands-on experience with programming in Fortran, C/C++, Python, MATLAB
• Strong motivation to perform cutting-edge research and to publish research 
articles

Preferred Qualifications:
• Proficiency in Linux computing environment
• Experience in using HPC resources
• Experience with parallel computing (e.g. MPI, OpenMP, OpenACC) 

Interested students should apply for admission to the graduate program in the 
area of Computational Science at UTC before the deadline and should send 
their CV, unofficial transcripts, and a one-page cover letter to Dr. Reetesh
Ranjan (reetesh-ranjan@utc.edu). Please include "FCM-GRAD" in the subject line 
of your email. In the cover letter, please include relevant projects, your 
research interests, as well as your future career goals.