Job description

The position offered concerns mainly the development and validation of chemical 
and/or electrochemical models related to Lithium-ion battery recycling processes 
and battery cells. The candidate will provide support to the Battery and 
Electrification Technologies (BET) unit in both European and national projects 
related to Li-ion batteries and redox flow batteries.  The selected candidate 
will work in the FREE4LIB Horizon Europe project and contribute to the European 
Battery Innovation IPCEI project (https://www.ipcei-batteries.eu) aiming at the 
development of next-generation battery technologies.
 

The activities of the successful candidate will focus on:

*development and validation of models for the different chemical processes 
involved in Li-ion battery recycling (e.g., leaching, precipitation, liquid-
liquid extraction, etc);

*development and validation of electrochemical models at cell level for 
different battery technologies (e.g., Li-ion, Redox flow batteries, Solid-state 
batteries);

*supporting cell testing activities that will provide inputs for the models.
 
The ideal candidate should have:

-MSc in Chemical Engineering, Computational Engineering or equivalent technical 
background;
-Strong know-how on chemical and/or electrochemical processes;
-Solid know-how on computational methods for the resolution of PDEs and ODEs;
-Know-how on modelling chemical or electrochemical phenomena at component or 
system level, preferably using opensource or custom-developed software;
-Skills in programming (e.g., C++, python or Julia) and some experience in the 
development of applications or libraries for modelling physical systems;
-Experience with computational tools for multiphysics analyses (e.g., OpenFOAM, 
FeniCS, Ansys Fluent) and/or with system level/chemical process simulators 
(e.g., OpenModelica, Aspen, DWSim);
-Good knowledge of written and spoken English;
-Ability to work in a collaborative environment, with a strong commitment to 
achieve assigned objectives;
-Ability to organize and complete multiple tasks/projects at one time;
-Skills in problem solving;
-Ability to write technical reports and scientific papers;
-Good communication and relational skills;
-Self-motivation and result orientation.
 
Furthermore, the following elements will be positively evaluated:

-PhD degree (or a few years of experience) in fields related to this call;
-Solid know-how on electrochemistry and batteries;
-Know-how on battery cells electrochemical models for Li-ion (e.g., SPM, DFN) or 
redox flow batteries.

Employment

Type of contract: Fixed Term Contract 

Gross annual salary:about € 36.200 - € 41.400 depending on background and 
expertise in the field.

Working hours: full time (38 hours per week)

Start date: July 2024 

Duration: 2 years (with the possibility to extend the contract)

Workplace: Povo - Rovereto 

Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal 
car park, welcome office support for visa formalities, accommodation, social 
security (SANIFONDS), family-work balance, free training courses, support on 
bank account opening, discount on public transport, sport, language course fees. 
More info at  https://www.fbk.eu/en/work-with-us/  

 
Application

Interested candidates are requested to submit their application by completing 
the online form 
(https://jobs.fbk.eu/Annunci/Jobs_A_chemical_engineer_for_Battery_R_D_231370397.
htm). Please make sure that your application contains the following attachments 
(in pdf format):

Detailed CV including a list of scientific publications;
Cover Letter (explaining your motivation for this specific position)
At least 2 professional references (e-mails and/or phone numbers)
 
Application deadline: May 21, 2024

Postdoc position in laminar-turbulent transition

About the PI: Dr. J. Ren, the Principal Investigator, is a professor at the 
Beijing Institute of Technology. His research interests encompass flow stability 
and transition, high-speed flows, supercritical flows, and machine learning. He 
has led projects such as the National Young Talents Program, the "Alexander von 
Humboldt Research Fellowship," and projects funded by the National Natural 
Science Foundation of China (NSFC). 

Google Scholar:
https://scholar.google.com/citations?hl=en&user=t1EjPfQAAAAJ


About the Package: The selected candidates will receive an annual salary of up 
to 375,000 CNY at the Beijing campus or 520,000 CNY at the Jiaxing campus, 
depending on their experience and track record. The group will also provide 
research funding, additional subsidies, and bonuses based on research 
performance. The university offers one-bedroom accommodation on campus for 1,200 
CNY 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.

About the University: The Beijing Institute of Technology (BIT) is located in 
the center of Beijing. Despite its compact size, it is part of the prestigious 
national higher education (Top 10) along with a few other esteemed universities. 
For international candidates, the university and the group offer comprehensive 
support for accommodation and integration into campus life. It's entirely 
comfortable to speak English on campus.

The Requirements: Candidates should have a publication record in relevant 
journals and the ability to communicate fluently in English. Experience in 
programming, analytical modeling, high-performance computing will be 
appreciated. Outstanding candidates are invited to send (1) a CV, and (2) two 
references to jie.ren@bit.edu.cn.

Open GRA Positions:  Rotating Detonation Engine for Aerospace and Space 
Applications


Immediate opening in the Laboratory of Turbulence, Sensing and Intelligence 
Systems Laboratory, Department of Mechanical Engineering, University of Texas, San 
Antonio for highly motivated MS or Ph.D. students interested in working on 
cutting-edge research for Space and Aerospace applications. You will be working 
with a Computational model of the Rotating Detonation Engine (RDE) for air-borne 
vehicles – a revolutionary technology for next-generation aircraft and space 
vehicles.  The project involves using Computational Fluid Dynamics, Fluid Dynamics 
principles, Thermodynamics, Chemistry, and Turbulence. A strong interest in 
programming is required. A good background in Fluid Dynamics and Thermodynamics is 
preferred. The appointment can start during the Summer or Fall of 2024.  US 
citizenship is required. The project is funded by the US Air Force.   This is a 
great opportunity. There is a possibility of an internship at Air Force Labs as a 
part of the graduate program, depending on the performance of the student.
If you are interested, please contact Prof. Kiran Bhaganagar at 
kiran.bhaganagar@utsa.edu
 

I am looking for a Ph.D. student to help me with modeling thermal transport 
processes in the atmospheric boundary layer. I am offering a fully funded position 
at the Mechanical Engineering Department, University of South Florida. 

The ideal candidate should have a very good grasp of OpenFOAM and computer 
programming skills. Familiarity with SOWFA, developed by NREL, would be an added 
advantage. Additionally, the student is expected to have experience working with 
high-performance computing clusters. Knowledge of the WRF (wind research and 
forecasting) model would be a plus. If interested, please send me an email with a 
cover letter that highlights your skills and experience in the areas mentioned 
above.

PhD position  (f/m/d): Simulations of offshore wind farm turbulence

Job description
Are you captivated by the intricacies of fluid mechanics, the complexities of turbulence, the power of high-
performance computing, and the potential of wind energy? If you're passionate about pioneering research 
and eager to be part of a dynamic team, we have an exciting opportunity for you. We're seeking an 
enthusiastic PhD candidate to study flow dynamics in offshore wind farms, developing novel computer 
simulations. As the scale of wind turbines and farms expands, particularly in offshore settings, they 
present novel challenges due to the unique atmospheric turbulence phenomena that remain largely 
uncharted. 

This PhD project, integral to the ERC consolidator WINDFLOW project, is dedicated to the development 
and application of novel large-eddy simulation techniques. Your research will illuminate the intricate 
dynamics between wind and waves, assessing their influence on the efficiency of offshore wind farms. This 
is a chance to advance knowledge in renewable energy and significantly contribute to improving wind farm 
efficiency. Join us in advancing the frontier of wind energy research!

Location
This research is conducted in the Physics of Fluids group at the University of Twente in the Netherlands. 
Our work spans various fluid mechanical challenges, employing experiments, simulations, and theoretical 
approaches. The group is affiliated with the Max Planck Center for Complex Fluid Dynamics and the J.M. 
Burgerscentrum for Fluid Mechanics. For further insights, visit us http://pof.tnw.utwente.nl and  
https://stevensrjam.github.io/Website/.

Profile
We are seeking applications from motivated early-career researchers with a strong background in fluid 
dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or 
related subject areas. Proficiency in programming languages such as Fortran, C/C++, MATLAB, or Python 
is advantageous. Candidates should thrive in an international environment and actively contribute to team 
research efforts. Excellent communication skills and a willingness to share knowledge at conferences and 
meetings are highly valued. Proficiency in spoken and written English is essential. We encourage a high 
degree of responsibility and independence while collaborating with colleagues.

Our offer
This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research 
group with peers exploring similar themes.
•	A full-time position for four years, with a qualifier in the first year.
•	Salary and associated conditions are in accordance with the collective labor agreement for Dutch 
universities (CAO-NU).
•	Access to novel research facilities, including top-tier supercomputers.
•	Professional and personal development program within Graduate School Twente.
•	Excellent mentorship and a stimulating international research environment.
•	The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.
•	There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-
of-year bonus of 8.3%, and a solid pension scheme.
•	A minimum of 29 holidays in case of full-time employment.
•	Free access to sports facilities on campus.

Information and application
To apply, please email your application to Richard Stevens (r.j.a.m.stevens@utwente.nl), including:
•	A cover letter highlighting your specific interests, qualifications, and motivation for this position.
•	A detailed CV (resume).
•	An academic transcript of BSc and MSc education, including grades.
•	Contact information of two academic references who are willing to provide a recommendation letter at 
our request.

We are committed to fostering diversity and inclusion at our university and do not discriminate based on 
race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We 
provide reasonable accommodations for individuals with disabilities during the application process, 
interviews, and employment. Please contact us to request accommodation.

PhD position  (f/m/d): Assessing the interplay between wind farms and clouds

Job description
Are you captivated by the intricacies of fluid mechanics, the complexities of turbulence, the power of high-
performance computing, and the potential of wind energy? If you're passionate about pioneering research 
and eager to be part of a dynamic team, we have an exciting opportunity for you. We're seeking an 
enthusiastic PhD candidate to explore how dynamic shifts in atmospheric conditions throughout the day 
influence wind farm performance. This project challenges you to delve into the impact of time-dependent 
atmospheric changes, going beyond traditional simulations for stationary atmospheric conditions. 

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop 
groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop novel LES 
to investigate the interaction among clouds on wind farm performance and atmospheric transport 
processes. This presents an opportunity to push the boundaries of fundamental fluid and atmospheric 
dynamics, enhance wind farm efficiency, and deepen our understanding of their interaction with the 
atmosphere. Join us in pushing the boundaries of wind energy fluid mechanics research!

Location
This research is conducted in the Physics of Fluids group at the University of Twente in the Netherlands. 
Our work spans various fluid mechanical challenges, employing experiments, simulations, and theoretical 
approaches. The group is affiliated with the Max Planck Center for Complex Fluid Dynamics and the J.M. 
Burgerscentrum for Fluid Mechanics. For further insights, visit us http://pof.tnw.utwente.nl and  
https://stevensrjam.github.io/Website/.

Profile
We are seeking applications from motivated early-career researchers with a strong background in fluid 
dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or 
related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or 
Python is advantageous. Candidates should thrive in an international environment and have excellent 
communication skills to actively contribute to team research efforts. You will present your work at 
international conferences. Proficiency in spoken and written English is essential. We value independence 
and responsibility while promoting teamwork and collaboration among colleagues. 

Our offer
This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research 
group with peers exploring similar themes.
•	A full-time position for four years, with a qualifier in the first year.
•	Salary and associated conditions are in accordance with the collective labor agreement for Dutch 
universities (CAO-NU).
•	Access to novel research facilities, including top-tier supercomputers.
•	Professional and personal development program within Graduate School Twente.
•	Excellent mentorship and a stimulating international research environment.
•	The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.
•	There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-
of-year bonus of 8.3%, and a solid pension scheme.
•	A minimum of 29 holidays in case of full-time employment.
•	Free access to sports facilities on campus.

Information and application
To apply, please email your application to Richard Stevens (r.j.a.m.stevens@utwente.nl), including:
•	A cover letter highlighting your specific interests, qualifications, and motivation for this position.
•	A detailed CV (resume).
•	An academic transcript of BSc and MSc education, including grades.
•	Contact information of two academic references who are willing to provide a recommendation.

We are committed to fostering diversity and inclusion at our university and do not discriminate based on 
race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We 
provide reasonable accommodations for individuals with disabilities during the application process, 
interviews, and employment. Please contact us to request accommodation.

PhD position (f/m/d): Impact Dynamic atmosphere on wind farm performance 

Job description
Are you fascinated by fluid mechanics, the intricacies of turbulence, the capabilities of high-performance 
computing, and the promise of wind energy? If you are enthusiastic about groundbreaking research and 
keen to join a diverse team, we offer an exhilarating opportunity for you. We are looking for a dedicated 
PhD candidate to investigate the impact of dynamic atmospheric condition changes throughout the day on 
wind farm performance. This project invites you to explore the effects of time-varying atmospheric 
changes, moving beyond conventional simulations of stationary atmospheric conditions.

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop 
groundbreaking large-eddy simulation strategies for wind farm flows. Your research will examine the 
interplay between dynamic shifts in large-scale atmospheric conditions, as described by weather models, 
and the performance of large wind farms. This PhD provides the opportunity to develop novel insights into 
atmospheric dynamics and leverage this to improve wind farm efficiency. Join us in pushing the boundaries 
of wind energy fluid mechanics research!

Location
This research is conducted in the Physics of Fluids group at the University of Twente in the Netherlands. 
Our work spans various fluid mechanical challenges, employing experiments, simulations, and theoretical 
approaches. The group is affiliated with the Max Planck Center for Complex Fluid Dynamics and the J.M. 
Burgerscentrum for Fluid Mechanics. For further insights, visit us http://pof.tnw.utwente.nl and  
https://stevensrjam.github.io/Website/.

Profile
We are seeking applications from motivated early-career researchers with a strong background in fluid 
dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or 
related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or 
Python is advantageous. Candidates should thrive in an international environment and have excellent 
communication skills to actively contribute to team research efforts. You will present your work at 
international conferences. Proficiency in spoken and written English is essential. We value independence 
and responsibility while promoting teamwork and collaboration among colleagues. 

Our offer
This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research 
group with peers exploring similar themes.
•	A full-time position for four years, with a qualifier in the first year.
•	Salary and associated conditions are in accordance with the collective labor agreement for Dutch 
universities (CAO-NU).
•	Access to novel research facilities, including top-tier supercomputers.
•	Professional and personal development program within Graduate School Twente.
•	Excellent mentorship and a stimulating international research environment.
•	The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.
•	There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-
of-year bonus of 8.3%, and a solid pension scheme.
•	A minimum of 29 holidays in case of full-time employment.
•	Free access to sports facilities on campus.

Information and application
To apply, please email your application to Richard Stevens (r.j.a.m.stevens@utwente.nl), including:
•	A cover letter highlighting your specific interests, qualifications, and motivation for this position.
•	A detailed CV (resume).
•	An academic transcript of BSc and MSc education, including grades.
•	Contact information of two academic references who are willing to provide a recommendation letter.

We are committed to fostering diversity and inclusion at our university and do not discriminate based on 
race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We 
provide reasonable accommodations for individuals with disabilities during the application process, 
interviews, and employment. Please contact us to request accommodation.

PhD position  (f/m/d): Large-scale weather effects in wind farm simulations

Job description
Are you intrigued by the complexities of fluid mechanics, turbulence, and the unexplored potential of high-
performance computing? We present an exceptional PhD opportunity for individuals dedicated to 
pioneering the development of wind farm simulations. Embark on a quest to devise innovative simulation, 
integrating input from advanced weather models to account for the impact of dynamic atmospheric 
effects. Use the power of the world's most advanced supercomputers and collaborate with computational 
experts.

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop 
groundbreaking large-eddy simulation strategies for wind farm flows. Joining our team means contributing 
to a vital area of research. This PhD opportunity allows you to enhance your understanding of fundamental 
fluid and atmospheric dynamics while developing simulation technologies. Our aim is to create innovative 
simulation strategies enabling simulations with unparalleled detail. Join us in advancing the frontiers of 
wind energy research!

Location
This research is conducted in the Physics of Fluids group at the University of Twente in the Netherlands. 
Our work spans various fluid mechanical challenges, employing experiments, simulations, and theoretical 
approaches. The group is affiliated with the Max Planck Center for Complex Fluid Dynamics and the J.M. 
Burgerscentrum for Fluid Mechanics. For further insights, visit us http://pof.tnw.utwente.nl and  
https://stevensrjam.github.io/Website/.

Profile
We are seeking applications from motivated early-career researchers with a strong background in fluid 
dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or 
related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or 
Python is advantageous. Candidates should thrive in an international environment and have excellent 
communication skills to actively contribute to team research efforts. You will present your work at 
international conferences. Proficiency in spoken and written English is essential. We value independence 
and responsibility while promoting teamwork and collaboration among colleagues. 

Our offer
This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research 
group with peers exploring similar themes.
•	A full-time position for four years, with a qualifier in the first year.
•	Salary and associated conditions are in accordance with the collective labor agreement for Dutch 
universities (CAO-NU).
•	Access to novel research facilities, including top-tier supercomputers.
•	Professional and personal development program within Graduate School Twente.
•	Excellent mentorship and a stimulating international research environment.
•	The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.
•	There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-
of-year bonus of 8.3%, and a solid pension scheme.
•	A minimum of 29 holidays in case of full-time employment.
•	Free access to sports facilities on campus.

Information and application
To apply, please email your application to Richard Stevens (r.j.a.m.stevens@utwente.nl), including:
•	A cover letter highlighting your specific interests, qualifications, and motivation for this position.
•	A detailed CV (resume).
•	An academic transcript of BSc and MSc education, including grades.
•	Contact information of two academic references who are willing to provide a recommendation.

We are committed to fostering diversity and inclusion at our university and do not discriminate based on 
race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We 
provide reasonable accommodations for individuals with disabilities during the application process, 
interviews, and employment. Please contact us to request accommodation.

Job description
Are you curious about the intricacies of fluid mechanics, the complexities of turbulence, the capabilities of 
high-performance computing, and the vast potential of wind energy? If groundbreaking research excites 
you and you're keen to join a diverse team, we offer an exhilarating opportunity. We invite you to 
investigate how wind farms influence the performance of adjacent farms. This research is crucial, as we 
envision numerous wind farms in regions like the North Sea, yet the interactions among these wind farm 
clusters remain largely unexplored.

This PhD project is part of the ERC Consolidator Grant project WINDFLOW, which strives to develop 
groundbreaking large-eddy simulation strategies for wind farm flows. Your research will develop a 
fundamental understanding of wind farms' large-scale impact on moisture transport, atmospheric stability, 
cloud dynamics, turbulent transport within the atmosphere, and the interactions between wind farms. This 
project represents an opportunity for us to advance our collective knowledge of fluid and atmospheric 
dynamics relevant to wind energy. Join us in pushing the boundaries of wind energy fluid mechanics 
research!

Location
This research is conducted in the Physics of Fluids group at the University of Twente in the Netherlands. 
Our work spans various fluid mechanical challenges, employing experiments, simulations, and theoretical 
approaches. The group is affiliated with the Max Planck Center for Complex Fluid Dynamics and the J.M. 
Burgerscentrum for Fluid Mechanics. For further insights, visit us http://pof.tnw.utwente.nl and  
https://stevensrjam.github.io/Website/.

Profile
We are seeking applications from motivated early-career researchers with a strong background in fluid 
dynamics, mechanical engineering, computational physics, applied physics, mathematics, geophysics, or 
related subject areas. Experience with programming languages such as Fortran, C/C++, MATLAB, or 
Python is advantageous. Candidates should thrive in an international environment and have excellent 
communication skills to actively contribute to team research efforts. You will present your work at 
international conferences. Proficiency in spoken and written English is essential. We value independence 
and responsibility while promoting teamwork and collaboration among colleagues. 

Our offer
This position is integral to the ERC WINDFLOW project and offers integration into a dynamic research 
group with peers exploring similar themes.
•	A full-time position for four years, with a qualifier in the first year.
•	Salary and associated conditions are in accordance with the collective labor agreement for Dutch 
universities (CAO-NU).
•	Access to novel research facilities, including top-tier supercomputers.
•	Professional and personal development program within Graduate School Twente.
•	Excellent mentorship and a stimulating international research environment.
•	The monthly salary is € 2.770 in the first year, increasing yearly to € 3.539 in the fourth year.
•	There are excellent benefits, including a holiday allowance of 8% of the gross annual salary, an end-
of-year bonus of 8.3%, and a solid pension scheme.
•	A minimum of 29 holidays in case of full-time employment.
•	Free access to sports facilities on campus.

Information and application
To apply, please email your application to Richard Stevens (r.j.a.m.stevens@utwente.nl), including:
•	A cover letter highlighting your specific interests, qualifications, and motivation for this position.
•	A detailed CV (resume).
•	An academic transcript of BSc and MSc education, including grades.
•	Contact information of two academic references who are willing to provide a recommendation letter.

We are committed to fostering diversity and inclusion at our university and do not discriminate based on 
race, religion, nationality, gender, sexual orientation, age, marital status, veteran status, or disability. We 
provide reasonable accommodations for individuals with disabilities during the application process, 
interviews, and employment. Please contact us to request accommodation.

Wissenschaftliche:r Angestellte:r für das Projekt CFD-Windenergie, NG/2404

Die Hochschule Esslingen sucht zum nächstmöglichen Zeitpunkt eine:n Wissenschaftliche:n Angestellte:n für ein Forschungsprojekt im Bereich Windenergie in der Fakultät Angewandte Naturwissenschaften, Energie und Gebäudetechnik am Campus Esslingen.

Die Entwicklung von Windenergie als erneuerbare, umweltfreundliche Energie schreitet weltweit voran. Immer mehr werden auch hügelige, bergige und bewaldete Gebiete erschlossen. Aufgrund der Orographie und Landnutzung werden inhomogene Windströmungen verbunden mit hoher Turbulenz erzeugt. Daher ist die Suche nach geeigneten Standorten eine anspruchsvolle Aufgabe, die innovative Simulationsmethoden zur detaillierten Beschreibung meso- und mikroskaliger Strömungsphänomene innerhalb der atmosphärischen Grenzschicht erfordert.

Unsere Rahmenbedingungen:
- Eingruppierung erfolgt entsprechend der Aufgabenübertragung und persönlicher Voraussetzungen bis Entgeltgruppe 13 TV‑L
- Beschäftigungsumfang beträgt bis zu 100 %
- Die Stelle ist zunächst bis 31.07.2025 befristet

Ihre Aufgaben:
- Entwicklung und Implementierung numerischer Strömungssimulationsmodelle (CFD) zur Beschreibung der fluidmechanischen und thermodynamischen Phänomene in der atmosphärischen Grenzschicht unter Berücksichtigung der Orographie und Landnutzung
- Sie werden an einem vom BMWK geförderten Forschungsprojekt arbeiten, das darauf abzielt, eine Doktorarbeit einzureichen
- Veröffentlichungen in Fachzeitschriften und auf wissenschaftlichen Konferenzen

Ihr Profil:
-Masterabschluss in Ingenieurwissenschaften oder Physik Begeisterung für akademische Forschung im Bereich Windenergie
- Fähigkeit zur eigenständigen Arbeit an innovativen Themen
- Starkes Kooperationsinteresse mit anderen Forschungsgruppen in einem interdisziplinären Projekt
- Solide Kenntnisse in Fluidmechanik und Thermodynamik
- Sehr gute CFD-Kenntnisse, vorzugsweise mit OpenFOAM
- Zusätzliche Kenntnisse des Betriebssystems Linux und der Programmiersprachen Python, C oder C++ sind wünschenswert

Die Bewerbungsfrist endet zum 15.06.2024.

Ihre Bewerbung können Sie über unser Online-Bewerbungsportal unter https://recruitingapp-5456.de.umantis.com/Jobs/1?lang=ger mit der Kennziffer NG/2404 einreichen.