Description
Are you adept at translating complex technical ideas into clear and accurate 
documentation? Do you have great attention to detail? Do you have the 
technical aptitude to learn to use our computational fluid dynamics (CFD) 
software?
 
If so, you might be a great addition to the documentation team here at 
Convergent Science. Convergent Science is an innovative, rapidly expanding 
CFD 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.

We are looking for a technical writer to create and edit a wide variety of 
documents, including training slides, case setup guides, blog posts, and 
validation documents. You will work closely with software developers, 
support engineers, and other writers to craft documentation that is 
accurate, clear, concise, and useful. This job posting is for a full-time, 
in-person technical writing and documentation engineering position at our 
Madison, Wisconsin headquarters. Entry-level positions have the job title of 
“Engineer”, and higher-level positions have titles commensurate with 
experience.

Requirements
* Bachelor’s degree in a STEM field and technical writing experience OR 
writing-related Bachelor's degree and a strong STEM background (This 
position is often tailored to M.S. and Ph.D. levels of experience and 
subject matter expertise)
* Meticulous and efficient writing and editing skills
* Ability to learn to use our graphical user interface-based CFD software
* Ability to learn from subject matter experts about CFD-related topics
* Expertise in Google products (sheets, docs) and Microsoft PowerPoint
* Knowledge of and experience with CFD is a plus

Benefits
* Salary commensurate with experience
* Possible annual bonus
* Paid holidays, paid time off
* Paid time off for company-approved volunteer activities
* 401k with employer match
* Health and dental insurance
* Short- and long-term disability insurance and life insurance

Application Instructions
Interested applicants should send the following items to 
erik.tylczak@convergecfd.com. Incomplete applications may not receive a 
response.
* Cover letter
* Resume
* Revised version of the user manual excerpt (see below)
* Two samples of your technical writing

User manual excerpt (please revise for clarity and concision):
"In this present chapter, a description of the purpose of using the various 
different liquid spray breakup modeling techniques now available in the 
current CONVERGE code for the purposes of simulating the breakup of 
particles of a liquid nature in the domain can be found."

The Emmy Noether Group for Dispersed Multiphase Flows was established at the 
Chair of Mechanical Process Engineering in January 2021 and is funded by the 
German Research Foundation. One of our objectives is to investigate the 
cultivation of mesenchymal stem cells on suspended microcarriers and deduce 
recommendations for the upscaling to industrial sizes of microcarrier-based 
bioreactors. In this regard, we develop a probabilistic modelling framework for 
describing particle-laden flows that naturally accounts for the small-scale 
interactions between turbulence, metabolic processes and microcarrier dispersion.

Background: Mesenchymal stem cells are not only the progenitors of skeletal 
tissues, but also possess the capacity to orchestrate regenerative and trophic 
processes in other tissues. For this reason, they are sometimes referred to as 
injury drugstores. In regenerative therapies, mesenchymal stem cells are 
extracted from a donor's bone marrow, expanded in culture and, subsequently, 
transplanted into patients for treating diseases as different as asthma, multiple 
sclerosis and diabetes. One challenge associated with the cultivation of 
mesenchymal stem cells is that the cells require a surface to adhere to in order 
to proliferate. In a technology that is currently investigated, the cells are 
seeded on so-called microcarriers (about 200µm-sized beads) and agitated in a 
nutrient medium. The dispersion of microcarriers in a moving nutrient medium is a 
multiphase flow in which fluid mechanical transport modulates the cells' nutrient 
uptake and viability and microcarrier collisions may cause the formation of 
aggregates.

This position: Within the scope of the present project, the large eddy simulation 
(LES) framework will be amended by a probabilistic description of the interaction 
between the chemical medium composition and the microcarrier dispersion. The 
spatial distribution of the microcarriers as well as potential changes in their 
properties are described with the aid of a population balance equation (PBE). An 
important related task is the synthesis of detailed biochemical kinetics for the 
rates of nutrient uptake, metabolite release and cell fission. For the numerical 
solution of the governing equations, a Monte Carlo method will be developed and 
combined with a sliding mesh approach. The joint modelling/solution framework 
will be instrumented to predict the cell yield in a family of bioreactors and 
assess the influence of operating strategies. The Research Assistant is expected 
to complete a PhD based on her/his project work.

Your primary responsibilities:
- Consolidation of biochemical kinetics governing metabolic processes and cell 
  fission
- Integration of the reaction kinetics into an existing framework for 
  heterogeneous surface reactions
- Formulation of a population balance equation for the property distribution of 
  microcarriers
- Development of a probabilistic description for the turbulence-mediated 
  interactions between the medium composition and microcarriers
- Development and implementation of a stochastic numerical solution method (Monte 
  Carlo) and combination with a sliding mesh approach
- Validation of the physical model based on existing experimental measurements
- Comparison of different operating strategies based on cell stress exposure, 
  microcarrier collision rates and cell yield
- Participation in the development of our in-house simulation tools using the 
  programming languages C and Fortran
- Supervision of student projects and theses
- Leading tutorials and organizing plenary exercises
- Cooperation and exchange with our colleagues at the Chair of Mechanical Process 
  Engineering

Your profile:
- MSc degree or equivalent in mechanical engineering, process engineering, 
  physics or applied mathematics
- Proven track record in translating physical problems into computer-solvable 
  tasks using numerical methods
- Strong background in heat and mass transfer and fluid mechanics
- A strong interest in computational fluid dynamics
- First experience in developing, debugging and profiling software
- Coding experience in C/C++, Fortran or Matlab
- First teaching experience, for example, as a student teaching assistant
- Fluent command of written and spoken English; experience in academic writing

For further information about the position, please contact Dr. Fabian Sewerin 
(fabian.sewerin(at)ovgu.de).

In addition to all the usual social benefits of the public sector, we have more 
to offer, such as the possibility of flexible working hours. Modern working 
conditions, a wide range of training and development opportunities, and a 
positive work environment that is highly valued by our employees distinguish us 
as an employer. We also offer a wide range of sports and leisure activities, 
extensive catering in our canteens and cafeterias as well as workplace health 
promotion.

Applications from disabled persons will be given priority in the case of equal 
suitability, ability and professional expertise. The Otto-von-Guericke University
 strongly promotes gender equality in all professional areas.

Please note that a Statement of Comparability (SoC) for foreign educational 
qualifications from the Central Office for Foreign Education (ZAB) must be 
available at the time of recruitment. The SoC is fee-based and has to be applied
 for by the certificate holder. For more information, please follow 
https://www.kmk.org/zab/central-office-for-foreign-education/statement-of-
comparability-for-foreign-higher-education-qualifications.html.

Please note the information for storage of personal data: https://www.uni-
magdeburg.de/Datenschutz_Bewerber.html

Please send your complete application (cover letter detailing your motivation, 
prior experience and suitability, curriculum vitae) by September 15, 2021 (date 
of receipt of application) using the online application portal:
https://ovgu.b-ite.careers/jobposting/c90fc02485fa27ec3805e3b9e4186663116f3c560?ref=homepage

we designed a drone propeller for an academic project. This propeller needs to 
be optimized. Mesh file and .cfg file are ready. When we start the 
optimization we get a lot of SU2 related errors and we couldn't resolve them.
what is required of you is to optimize the propeller and get good value if you 
can.


Files Link: https://drive.google.com/file/d/13RAghTm49NS-snIUktZDJaSyz-
Cpb7me/view?usp=sharing

We can talk about the payment and other terms by e-mail.

Woods Air Movement specialises in the design and manufacture of axial fans 
for a wide range of industrial and life safety applications worldwide. With 
over 100 years of industry experience, we are a leading provider of 
ventilation systems for almost all purposes.

---

About the Role:
As a Graduate CFD Engineer, you will be part of a dynamic team tasked with 
supporting the design and analysis of ventilation systems for car parks - a 
multi-million pound segment of the business. Using advanced CFD methods and 
technology, members of the team are responsible for designing code-compliant 
systems using our Jet Thrust Fan products to aid in the removal of pollution 
during normal operating practises, as well as provide life safety support in 
the event of a fire.

Additional duties may also include:

*  Training and guidance for global sales team
*  Technical seminars for consultants and contractors
*  Application development
*  Product development
*  Preparation of design, sales and marketing literature

The role is UK office-based, although opportunities for travel within the UK 
and overseas will once again be available in the near future.


This job description is not regarded to be totally exhaustive of all duties 
and activities required by the post.  The post is subject to the needs of 
the business and will develop and change in line with prevailing market 
conditions, competition and development of the territory.

---

Who we are looking for:
Candidates should have degree in a suitable engineering discipline, 
including modules relating to CFD and Fluid Dynamics. Experience in 
CFD modelling is a core requirement.

Knowledge of the following software is seen as a significant benefit:

*  Autocad
*  Solidworks (or similar 3D CAD experience)
*  Ansys
*  Microsoft Office

Viable candidates will be selected based on their knowledge and experience, 
but also with strong consideration on their ambitions within the role and 
what they can bring to the company as a whole.

---

What we are offering:
*  Competitive salary
*  25 days Holiday (+ bank holidays)
*  Christmas Shutdown
*  4% Pension Scheme
*  Life Assurance Scheme
*  Company Sick Pay Scheme
*  Cycle to Work scheme
*  Sports and Social Events Club Membership (highly discounted events for 
employee & family)
*  Long Service Awards
*  Free Car Parking
*  Employee Assistance Programme & Access to Mental Health Support
*  Learning and Development Opportunities


Interested candidates should apply via the company job portal through the 
provided URL. Email applications will not be accepted.

Join the European Research Council frontier research project "PowFEct"! We will bring about a step-change to the safety of powder processing. The "Analysis & Simulation in Explosion Protection Group" is hiring a PhD student in

"Simulation of Multi-phase Flows".

This position is available on the basis of a 3-year fixed-term contract. You will be employed at our Braunschweig site. The remuneration will be paid in accordance with remuneration group 13 TVöD Bund (85 %).


Your tasks:
- Working on the ERC project "PowFEct" (https://cordis.europa.eu/project/id/947606)
- Performing high-resolution multi-physics simulations
- CFD simulations of the electrostatic charging of particle-laden turbulent flows
- Contributing to the development of the "pafiX" code
- Publication and presentation of the results in international scientific journals and at international conferences

Required Skills/Qualifications:
- You have completed your university studies (German "Diplom" or Master's degree) in physics, applied mathematics or an engineering discipline with at least good grades.
- Very good knowledge of computational fluid dynamics (CFD).
- Knowledge of the "Fortran 90" programming language would be an advantage.
- You are a team player with excellent communication skills.
- You have a good command of spoken and written English.
- You are able to work autonomously and responsibly.
- You offer a high level of commitment.
- You are willing to travel within Germany and abroad within the scope of your assignment.

PLEASE APPLY ONLY THROUGH THE WEBSITE: 

https://www.ptb.de/cms/nc/en/about-us-careers/careers/bms-stellen/bms-formular.html?tx_jobmodul_pi2%5Bjob%5D=3927&tx_jobmodul_pi2%5BlistBackPid%5D=11489&tx_jobmodul_pi2%5BsingleBackPid%5D=11490

2 short-term (6-12 months) postdoc positions are available for UK-based researchers or software engineers in the field of multiphase and electrokinetic flow modelling and simulation.

Possible extensions and fellowships opportunities are possible.
If you are interested send your CV to matteo.icardi@nottingham.ac.uk

Lecturer in Engineering Simulation & Data Science

Applications are invited for the above position with an immediate start to develop outstanding research in the area of engineering simulation and data science.

Manchester was the birthplace of the engineering discipline, and the Department of MACE has historical routes in the Institute of Mechanics in founded in 1824. Today the School hosts 1300 undergraduate and 450 postgraduate students, delivers undergraduate programmes across Mechanical, Aerospace and Civil Engineering, and MSc programmes in both technical engineering subjects and management. With 120 academic staff, 90 technical and support staff, and 300 postgraduate research students and post-docs, the Department is at the forefront of engineering education in the UK.

MACE has substantial world leading activity in the development of methods for advanced computational engineering, with a sizeable team of academics working on a range of related topics; turbulence, multiphase/multiphysics, particle methods, fluid structure interaction, biofluids and advanced materials. We seek a candidate with knowledge of one or more of these methods as well as significant experience in a complementary area of data science.

This position will help grow links between MACE and the Institute for Data Science and Artificial Intelligence, and collaborators on other departments across The Faculty of Science & Engineering. Applications from candidates able to demonstrate relevance of their research to The University’s themes of ‘Clean Growth’ and ‘Digital Engineering & Manufacturing’ are particularly welcomed. The post is also strategically aligned to the recently relaunched Modelling and Simulation Centre, which in collaboration with EDF is focussed on the delivery of ‘System-Level’ engineering simulation capabilities across a range of sectors.

You will undertake original research in engineering simulation and be able to demonstrate evidence of excellent prior work, as well as a clear workplan for developing their research in the future. In particular we are looking for candidates with demonstrable expertise in either of the following two themes:

1) Physics-informed Machine Learning for engineering simulation; i.e. the incorporation of AI/Machine Learning techniques to improve model accuracy and their range of applicability in engineering;

2) Data science techniques for engineering simulation; including methods derived from an applied mathematics background such as: uncertainty quantification, data assimilation, surrogate modelling, multi- objective optimisation.

As an early career academic, you will be given an appropriate level of teaching responsibility and will be expected to develop innovative approaches to improve the quality of teaching, learning and feedback to enhance the student experience.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

For further details and instructions on how to apply - please visit the following page:

https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20468

The applied mathematics dept. of UFRJ has an opening for a Postdoctoral 
position to work on developing novel methods to simulate multiphase flows in 
pipelines.
The position is related to an industry-supported research project which tries 
to enhance the current methods and implement them on novel computational 
architectures. The project will cover the theoretical, numerical, and 
computational aspects of the problem.

The project will be based in the Laboratory of Multiphase Flow in Pipelines 
(LEMT) at UFRJ. It will involve research collaboration with other universities 
around the world and also industrial partners. 

Requirements:
A Ph.D. in Applied Mathematics, Computer Science, Mechanical Engineering, or a 
related field is required.
The candidate must have strong knowledge of GPU programming and code 
development using CUDA/C/C++. Expertise in GPU programming (CUDA) is mandatory 
(Please do not apply if you do not have enough experience in this field).
Experience in machine learning and related software such as TensorFlow would 
be desirable.
Background in CFD code development would be beneficial. 
The English language is a prerequisite for the role. 

The selected candidate will participate in developing new models, implementing 
in our in-house code, and also performing related simulations.

The selected candidate will participate in GPU accelerating of our in-house 
developed code.

The position is available for 1 year with the possibility of an extension 
based on performance (up to three years). The scholarship is approximately R$ 
8000 per month (depending on experience could be higher) and tax-free.

Review of candidates will begin immediately and will continue until the 
position is filled.

Interested candidates should send a cv and motivation letter to 
hamidreza@im.ufrj.br. 

Ph.D. positions are available in the Computational Fluids Group (https://neksharan.github.io/) of the Department of Aerospace Engineering at Auburn University starting immediately or Spring 2022. The student will work on numerical methods and flow models for large-scale simulations of compressible turbulence and fluid-structure interactions in high-speed flows. Additional topics of interest can be found on the group webpage listed above.

Candidates with background in fluid mechanics, numerical simulations, and parallel programming are encouraged to apply. Candidates with a master’s degree are preferred. Prior experience in computational fluid dynamics, large-eddy simulations, and finite difference/volume methods is a plus. The candidates are expected to have a strong academic record, and excellent verbal and written communication skills. Additional admission requirements are described at the following link:
https://eng.auburn.edu/program/phd-aerospace-engineering

Interested applicants should email their CV with a cover letter, Transcripts, any previous publication(s), GRE/TOEFL scores to Nek Sharan (nsharan@auburn.edu).

Software Builder (full time, £40k+) – Build2021

We are looking for a software builder to manage our growing software tool 
chain consisting of geometry import, mesh generation, geometry editing, flow 
simulation & post-processing. The successful candidate will manage & maintain 
the build system for our in-house code together with various third-party 
libraries both for internal development but also to make & support 
distributable, licensable binaries. The candidate will also maintain & manage 
our testing process, which will develop as our needs broaden. The successful 
candidate will be patient, meticulous and committed to getting every detail 
right, cheerfully resolving incompatibilities. Some previous experience in 
this growing and increasingly specialist area would be very useful.

About Cambridge Flow Solutions:

Our core business has always been to add value to our clients’ CFD/CAE process 
chain and to develop customised software to augment their capabilities. 
Building on our deep technical knowledge and experience, our approach centres 
on the key aspects that govern the simulation process:
Integration: to create highly automated software which promotes efficient, 
multidisciplinary simulation across all business areas.
Removal of bottlenecks: to overcome the constraints that prevent rapid and 
effective simulation within industrial design and analysis environments.
Parallelism: to offer products and solutions based on fully parallelised and 
scalable software both for rapid turnaround and for medium to large problem 
sizes.
Robustness and quality: to deliver high-quality and robust integrated 
simulation workflow on geometries of arbitrary size and complexity.
Customised CFD 

We have many years of CFD and software development experience and this allows 
us to develop and implement simulation software which we can tailor to the 
specific requirements of our partners. Our primary product is BOXERmesh, which 
we develop and sell commercially, but we also work with a wide range of 3rd 
party software. We maintain active development of our software products, in 
response to feedback from partners and customers. True to our aim of further 
promoting practical, fully integrated simulation workflows, we have now 
extended our core capabilities into the additional areas of geometry handing, 
editing & management, BOXERgeom and flow solving, BOXERsolve. 

 
Applications Engineering:
CFS provides application support to our range of industrial clients and 
partners, further improving their capabilities and adding value. We pride 
ourselves on close and regular customer contact, and have extensive, practical 
experience in developing and applying:
•	Unstructured mesh generation
•	Geometry management & editing - including mesh deformation techniques
•	CAD import & tessellation for mesh generation, and geometry 
parameterisation for optimisation
•	Steady/unsteady RANS CFD & LES/DES
•	Conjugate aero/thermal simulation
•	Parallelised software architecture
•	GUI development

With offices on the world-renowned Cambridge Science Park, UK and in Kobe, 
Japan, and soon to open an office in the US, we are continually looking for 
exceptional talent, particularly in the areas of Computing, CFD/CAE 
applications engineering, consulting, sales and support. We offer stimulating 
work in a young and dynamic company with exciting prospects.

Salary £40k+ pa. negotiable depending on experience.  
Please email with a stated salary expectation and the job reference, Build2021 
when applying.  Only applications with this salary information will be 
considered.

Closing date: 	12 August 2021
  
Please forward all applications to careers@cambridgeflowsolutions.com