ForWind – Center for Wind Energy Research has a vacancy in the research 
group »Wind Energy Systems« at the Institute of Physics of the Carl 
von Ossietzky Universität Oldenburg starting as soon as possible for a

PhD Position / Research Assistant (f/m/d)
Data scientist for wind farms, meteorology and remote sensing
(E13 TV-L, 75 %)

Analysing and interpreting measurement data is becoming increasingly 
important for the wind industry. Modern data processing methods pave the way 
to a deeper understanding and more efficient operation of wind turbines and 
wind farms. In particular, remote sensing devices like lidar or radar 
can estimate complex meteorological conditions and the flow field around 
wind farms. Data fusion with operational data recorded at the turbines can 
be used for new predictive control techniques, validating control 
strategies, and mining data in real-time or historic analyses. 

Job description

The main aim of your PhD project is to further develop data processing 
methods for remote sensing systems, meteorological devices, and wind 
turbines gaining a scientific understanding and enabling new business cases 
for the operation of wind farms. A multidisciplinary team of wind energy 
experts will be available for support and guidance throughout the project.

Among others, your tasks will comprise:
•	processing and analysing large amounts of data by combining 
lidar measurements, meteorological information, and operational wind farm 
data,
•	developing new forecasting approaches, advanced wind 
field reconstruction methods and machine learning or hybrid 
approaches (combining physical and statistical modelling),
•	deriving uncertainty quantification by virtual lidar measurements 
in large-eddy simulations,
•	implementing and validating developed algorithms for 
real-time application
•	cooperating closely with a wind farm operator and researchers 
performing high-fidelity simulations, offshore measurements and dispatch optimisation of offshore wind farm power.

Job offer 

We offer you the opportunity to develop your scientific career in a young 
and lively academic environment. You will be working in the WindLab – one of 
the university's most modern office and lab spaces – while you will also 
have the opportunity to do flexible and mobile work. Your pathway towards 
the PhD is actively supported by, e.g., 
•	multidisciplinary cooperation with other researchers at ForWind 
and Fraunhofer IWES in Oldenburg,
•	direct collaboration with industry while maintaining the links with 
our national and international partners in academia,
•	optional secondment at an international research institute 
•	development of personal, scientific, and teaching skills through 
an individual training programme and selected teaching tasks,
•	opportunities to present scientific results at international 
conferences and through peer-reviewed publications to extend your 
specific network,
•	structured supervision of PhD process. 
The employment is initially limited to three years with an intention to 
further prolong up to four years to facilitate a PhD. The payment is based 
on the collective agreement for the public service in the German federal 
states, TV-L E13, for a 75 % position.
Candidate profile
Requirements for employment include:
•	a qualifying university master’s degree in physical 
sciences, Meteorology, Mechanical or Aerospace Engineering, Wind Energy, 
Wind Engineering, Remote Sensing or equivalent, 
•	aptitude and willingness to pursue a PhD,
•	profound knowledge of experimental or numerical fluid dynamics 
and statistical analysis of large data amounts, 
•	extensive experience in programming with at least Matlab or Python,
•	high motivation and ability to jointly work on applied research topics,
•	very good English skills.
Desired (but not mandatory) qualifications are: 
•	experience in handling meteorological measurement data
•	knowledge of data processing in the context of wind energy systems,
•	willingness to support the preparation of outdoor measurement 
campaigns, installation of measurement equipment, including working at high altitudes and offshore conditions.
•	experience abroad of several months during school, study period 
or employment after graduation,
•	and good German skills.

The Carl von Ossietzky Universität Oldenburg strives to increase the 
proportion of women in science. Therefore, women are strongly encouraged 
to apply. In accordance with § 21, para. 3 NHG, female applicants will be 
given preferential consideration in the case of equivalent 
qualifications. Severely disabled persons will be given preference in the 
case of equal suitability.
Further, the university cares for a family-friendly working environment 
and offers a family service centre and children's daycare on campus.
Research environment at ForWind – Carl von Ossietzky Universität Oldenburg
Wind energy research at the Carl von Ossietzky Universität Oldenburg has 
gained international recognition by its integration into ForWind – Center 
for Wind Energy Research of the Universities of Oldenburg, Hannover and 
Bremen and the national Wind Energy Research Alliance of the German 
Aerospace Center (DLR), Fraunhofer Institute for Wind Energy Systems (IWES) 
and ForWind. 
At ForWind, we maintain and value collaboration between our research groups 
and partner institutions such as the European Academy of Wind Energy members. 
In Oldenburg, our 50 researchers from physics, meteorology and engineering 
are collaborating at the »Research Laboratory for Turbulence and Wind 
Energy Systems« centred on wind physics. Our mission is to develop an 
improved understanding of atmospheric and wind power plant flow physics 
required to serve the global demand for clean and affordable electricity. Therefore, we conduct laboratory experiments, free-field measurements and 
HPC-based numerical simulations. The main topics include the description 
and modelling of wind turbulence, the analysis of interactions of 
turbulent atmospheric wind flow and wind energy systems, as well as control 
of wind turbines and wind farms. The covered scales range from 
small-scale turbulence up to meteorological phenomena. Our research 
facilities comprise three turbulent wind tunnels, various equipment for 
free-field measurements at on- and offshore wind farms and a 
high-performance computing cluster. Almost all our projects combine analyses 
at more than one of these infrastructures. For instance, virtual 
lidar measurements can be performed in simulated three-dimensional flow 
fields to verify the analysis algorithms. Our multi-lidar systems, equipped 
with up to three scanning lidars, are particularly important for the abovementioned research.
Contact
For questions regarding this job opportunity, please contact Prof. Dr. 
Martin Kühn at +49(0)441/798-5061 or preferably by email at 
martin.kuehn@uol.de. Further information is available at www.forwind.de/en/ 
and https://uol.de/en/physics/research/we-sys. 
Please submit your application electronically as one PDF file by 27.10.2024 
to wesys.bewerbungen@uni-oldenburg.de and include reference #CFD108.
The pdf file must include either in English or German:
•	A letter motivating your application. 
•	Curriculum vitae 
•	Grade transcripts and BSc/MSc diploma
•	Employment references
•	A one-page research statement. You are requested to present your 
notion of the field of the advertised PhD topic and some initial ideas 
for tackling it. 
A second PDF file containing your Master Thesis or relevant research papers 
(if available) is an optional attachment.
We are looking forward to receiving your application

Applications are invited for project position(s) as per the details given below 
for the consultancy/research project(s) under the Principal investigator (Name: 
Prof. Krishnendu Sinha), Department of Aerospace Engineering, Indian Institute 
of Technology, Bombay.

1. Title of Project: Ventilation CFD to determine the optimum placement of 
minimum sensors

2. Project Details: This project aims to use Computational Fluid Dynamics (CFD) 
to determine the airflow circulation in indoor spaces and identify recirculation 
zones that trap infectious particles. By predicting the air residence time and 
time scale of evacuation of pollutants using CFD, this project will feed CFD 
data and pathogen information into a Reactor Model framework to provide the 
infection probability and safe exposure time in a room. The location and size of 
recirculating zones in a room will be determined, which will be important in the 
placement of sensors that detect IAQ and optimizing the number of sensors 
required. The project has potential applications in controlling the spread of 
infectious diseases in indoor settings and optimizing ventilation systems while 
reducing energy consumption.

3. Project position(s) and number: Project Research Associate – 01 No.s

4. Essential Qualification and Experience: MTech/ME or Equivalent degree in 
Aerospace Engineering /Mechanical Engineering/Chemical Engineering/Environmental 
science and engineering
a. Knowledge and experience in CFD (Computational Fluid Dynamics)
b. Exposure and interest in software tools such as ANSYS Fluent.
c. analytical and problem-solving skills.
d. Data processing and Analysis.
e. Good communication, writing, and teamwork skills.

Desirable:
a. The candidates with Proficiency in fluid mechanics, CFD, and design and 
Analysis software like PRO-E, CATIA, SolidWorks, Ansys, OpenFOAM, and Linux will 
be given preference.
b. Knowledge and experience of grid generation.

5. Job Description 

We are seeking an experienced candidate to join our team. The primary 
responsibility of the successful candidate will be to perform computational 
fluid dynamics (CFD) simulations to understand the airflow and recirculation 
zones in indoor spaces. The candidate will work with a team of researchers to 
perform DPM simulations to model the aerosol distributions and tracer gas 
simulations to determine the optimum placement of sensors in indoor spaces.

This will include, but not be limited to the following:

a. The candidate will be responsible for performing CFD simulations on Airflow, 
DPM, and Tracer gas and generating and compiling results using Ansys.
b. Use a reactor model framework to determine the infectivity of indoor spaces.
c. Provide recommendations for the optimum placement of sensors (PM, CO2, etc.) 
based on the simulation results.
d. Validate the CFD model predictions with sensor data obtained from other sub-
projects.
e. Collaborate with a team of researchers to optimize the operation of 
interventions required to improve ventilation and their energy usage.
f. Generating and presenting viable reports of the analysed data.
g. Support the research of faculty and staff associated with ventilation work. 

6. Pay Details: Level PR-O1: Salary ranges from Rs.33600 to Rs 67200 + 
Rs.6250.00/- Out of Campus Allowance (if applicable) p.m.

7. General Information
Candidates before appearing for the interview shall ensure that they are 
eligible for the position they intend to apply.
Candidates desiring to appear for the Interview should submit their applications 
with the following documents to the office of the Principal Investigator 
(krishsinha.iitb@gmail.com) through email only as a single pdf file in the 
following order (failing to which application will not be considered for 
shortlisting procedure).: 
• Detailed CV including chronological discipline of degree/certificates 
obtained. 
• Experience certificates including research, industrial field and others. 
The position is temporary for a period of 6 months and can be extended to 1 year 
depending on the performance. The appointment is for time time-bound project and 
the candidate is required to work mainly for the successful completion of the 
project. The selection committee may offer a lower or higher designation and a 
lower or higher salary depending on the experience and performance of the 
candidate in the online interview.

The University of Melbourne is seeking PhD candidates to work in a large 
multidisciplinary team on a government and industry funded project investigating 
safe and efficient hydrogen liquefaction. Hydrogen is a clean fuel for 
decarbonization and is commonly transported as liquid in deep cryogenic state 
(-253°C). 

This project, funded by the Australian Renewable Energy Agency and the Future 
Energy Exports CRC, focusses on the development of new numerical prediction 
tools to optimise LH2 process design, efficiently scale-up turbomachinery, and 
to better predict release incidents. 

The two PhD projects will investigate hydrogen liquefaction by respectively:

1. conducting CFD simulations to understand the complex interactions between the 
cryogenic fluid and ambient air (including prevailing wind conditions) in the 
event of accidental release into the surrounding environment, 

2. using high-fidelity CFD software in combination with machine learning tools 
to better understand and ultimately improve LH2 compressor performance. 

Successful candidates will work closely with other numerical and experimental 
colleagues. All positions require a four-year Bachelor degree or a Masters 
degree in engineering and a strong background in thermodynamics and fluid 
mechanics.

A full PhD stipend of up to $37k per year and full-fee remission are available 
upon successful application. Interested applicants are invited to submit their 
CV and their preferred project, if they have one, to Dr Joe Berry. Positions 
open until filled. 

Job description

Reporting to Windtech's Director for UK and Europe, Windtech has an opening for 
a CFD engineer to join the London team.

The role will also be supported by one of our more Senior CFD Engineers in the 
team and is an excellent opportunity for turning a good grounding in theory into 
practical experience in a challenging and interesting industry.

Minimum Job Requirements

Masters Degree in Engineering/Science/Physics with a relevant sub-major
2-3 Years Experience in aerodynamics involving modelling in the wind tunnel or 
computational fluid dynamics (CFD)
Pedestrian Wind Environment CFD and Wind Tunnel Testing Experience
Experience in wind engineering consultancy
Have excellent written and verbal communication skills

Responsibilities and Duties

Conduct Computational Wind Engineering Simulations on various aspects of the 
built environment
Conduct research and simulation of energy/thermal, solar, daylight and airflow 
of the built environment
Liaise with clients and other members of the CFD team to deliver consultancy 
projects on time and within budget
Devise methodologies for analysis and visualisation of different aspects of the 
built environment
Presenting analysis both internally and externally in the form of reports and 
client presentations

Optional Requirements

Post-Graduate degree involving fluid dynamics
Experience with building environmental CFD modelling
Experience using the following tools/ software packages: Grasshopper, Radiance, 
Indesign, Rhinoceros 3D, Paraview

Benefits and Perks

Vitality Health (6 months after starting)
Pension contribution
Professional membership contribution

Company Overview

Windtech Consultants is a leading global Wind Engineering consultancy firm. Our 
wind engineering services cover all aspects of wind effects on buildings and 
other structures.

We support sustainable design by providing accurate modelling and sound advice 
for natural ventilation, daylight, solar access, glare and thermal comfort.

Company Mission Statement

To offer an exceptional level of service to our clients
Always putting our clients’ needs and interests first
Advance the wind engineering profession to improving safety and efficiency of 
structures
Develop innovative ways to ensure safe and comfortable environments within and 
around buildings

Job Type: Full-time

Benefits:

Company events
Company pension

Schedule:

Monday to Friday

Work Location: London EC1Y 0UJ 

Application deadline: 05/11/2024

Job description

Reporting to Windtech's Director for UK and Europe, Windtech has an opening for 
a CFD engineer to join the London team.

The role will also be supported by one of our more Senior CFD Engineers in the 
team and is an excellent opportunity for turning a good grounding in theory into 
practical experience in a challenging and interesting industry.

Minimum Job Requirements

Masters Degree in Engineering/Science/Physics with a relevant sub-major
2-3 Years Experience in aerodynamics involving modelling in the wind tunnel or 
computational fluid dynamics (CFD)
Pedestrian Wind Environment CFD and Wind Tunnel Testing Experience
Experience in wind engineering consultancy
Have excellent written and verbal communication skills

Responsibilities and Duties

Conduct Computational Wind Engineering Simulations on various aspects of the 
built environment
Conduct research and simulation of energy/thermal, solar, daylight and airflow 
of the built environment
Liaise with clients and other members of the CFD team to deliver consultancy 
projects on time and within budget
Devise methodologies for analysis and visualisation of different aspects of the 
built environment
Presenting analysis both internally and externally in the form of reports and 
client presentations

Optional Requirements

Post-Graduate degree involving fluid dynamics
Experience with building environmental CFD modelling
Experience using the following tools/ software packages: Grasshopper, Radiance, 
Indesign, Rhinoceros 3D, Paraview

Benefits and Perks

Vitality Health (6 months after starting)
Pension contribution
Professional membership contribution

Company Overview

Windtech Consultants is a leading global Wind Engineering consultancy firm. Our 
wind engineering services cover all aspects of wind effects on buildings and 
other structures.

We support sustainable design by providing accurate modelling and sound advice 
for natural ventilation, daylight, solar access, glare and thermal comfort.

Company Mission Statement

To offer an exceptional level of service to our clients
Always putting our clients’ needs and interests first
Advance the wind engineering profession to improving safety and efficiency of 
structures
Develop innovative ways to ensure safe and comfortable environments within and 
around buildings

Job Type: Full-time

Benefits:

Company events
Company pension

Schedule:

Monday to Friday

Work Location: London EC1Y 0UJ 

Application deadline: 05/11/2024

There is vacancy for highly motivated students for PhD position at IIT Jodhpur for 
the academic year 2024-25. Student will be working on futuristic combustion 
technology for gas turbines and jet engines. 

The Institute notification and department brochure regarding Ph.D admission, 
January 2025 are posted on our department website.

The link for applying for Ph.D application is also given.

Those are posted on the both "News and Newsletter" section (Front page on Dept. 
website) and "Doctoral Program" section (Home >> Academics >> Departments >> 
Mechanical Engineering >> Doctoral Program)

https://iitj.ac.in/department/index.php?id=doc_program&dept=me
https://iitj.ac.in/department/index.php?id=news_and_newsletter&num=1531&dept=me

A position is available for immediate start at IIT Jodhpur for highly motivated 
researchers to work on experimental research in gas turbine. This role involves 
fabrication of experimental setup and performing  advanced diagnostics. The salary 
will range from INR 48000 to 58000 per month commensurate with the experience and 
qualifications.

The candidate should be a hands-on person with strong trouble shooting skills. 
Experience with flame imaging/ PMT/ spectrometer/PDPA/LDV is desirable.

Interested candidates may apply with a cover letter mentioning how they are 
suitable for the position and their latest CV.

We are inviting applications for the position of Research Assistant (RA) for a research project funded by the Council of Science and Technology, Uttar Pradesh. The project focuses on the development of a robust and smart battery thermal management system specifically tailored for the North-Indian region.

Principal Investigator: 
Dr. Yasser Rafat
Assistant Professor 
Mechanical Engineering Department
Aligarh Muslim University

Co. Principal Investigator:
Dr. Md. Reyaz Arif
Assistant Professor
Mechanical Engineering Department
Aligarh Muslim University

Key Responsibilities:

    Conduct experimental research related to battery thermal management systems.
    Perform numerical simulations using ANSYS/COMSOL to model and analyze thermal systems.
    Integrate control systems into the thermal management system.
    Collaborate with team members and contribute to project reports and publications.
    Assist in guiding and mentoring junior researchers and students involved in the project.

Minimum Qualifications:

    M.Tech in Mechanical Engineering or a related field.
    Strong background in experimental research and hands-on laboratory work.
    Proficiency in numerical simulations using software such as ANSYS and/or COMSOL.
    Knowledge of control systems and their application in thermal management.

Preferred Qualifications:

    Experience in battery thermal management or related areas.
    Publications in relevant peer-reviewed journals or conferences.
    A strong desire to pursue a Ph.D. at AMU during the project tenure.

Salary: ₹28,000 per month

Duration: 3 years

How to Apply:
Interested candidates should send their updated CV, a cover letter highlighting their suitability for the position, and contact information for two referees to yasser.rafat@zhcet.ac.in or reyazarif@zhcet.ac.in.

Advanced Design Technology is a rapidly expanding global company and a leader in 
the development of advanced CAE software for major manufacturers in Europe, 
Japan and US. In order to continue our expansion, we are currently recruiting a 
Testing Manager to join our development team. This is a great time to join ADT – 
we are expanding rapidly in Europe, US and Asia and can offer competitive 
salaries, comprehensive benefits, and a dynamic environment at the forefront of 
our field.

We are currently undergoing the transition to Agile Development. The Testing 
Manager will aid in this transition, to oversee the testing process and 
coordinate all aspects of testing and release management with the development 
teams. Reporting to the Managing Director, the candidate will coordinate all 
testing, define Acceptance Testing and Product Level test plans for the software 
suite, analyse and extend the testing infrastructure, monitor Defect levels and 
trends, providing management with guidance on the ‘health’ of the software at 
all times and coordinating the hardening and production of the final release. 
Our aim is to develop in a ‘release ready’ manner, and this role is critical in 
ensuring that all aspects of software QA are managed accordingly, enabling more 
rapid and stable customer releases. The role will work closely with the Team 
Lead/Scrum Master, the Product Owner, Developers and the Engineering Services 
teams.

Role details
Central London based
Responsible for all aspects of the testing process
Monitor & extend the Continuous Integration and Testing Infrastructure
Manage the defect process and backlog
Responsible for the release management process, with support from the Product 
Owner and Development Team Leads
Overall responsibility for Software Quality
Work closely with Developers and Engineering Services teams to coordinate 
testing activities
Monitor delivery timeline of new features once the testing process is started
Report on testing activities

Skills & Experience required
Engineering Degree 
Strong testing background
Understanding of / experience with CI/CD systems
Strong interpersonal skills - able to interface well with Management and 
Developers alike

Desirable skills
Understanding of / experience with Turbomachinery Design 
Understanding of / experience with Agile Development (Scrum)
Experience working with remote teams
Experience in coding in Python

Context
Circulating fluidized beds have exceptional characteristics in terms of transport and mixing, contact between the dispersed phase and the gaseous medium, thermal inertia and wall heat transfer. These characteristics make them very present in the field of energy, particularly for the development of innovative processes that meet the challenges of energy transition. Gas-solid circulating fluidized beds are studied by PROMES as an alternative to heat transfer fluids which are used to transport the heat obtained from solar radiation in concentrated solar power plants, in particular within the framework of the European projects CSP2 and Next-CSP [1 - 4]. In this process, solar radiation is concentrated on vertical tubes within which a gas-particle mixture circulates. Understanding and mastering the flow regimes and the associated heat transfers, currently remain scientific obstacles for the development of this technology. The couplings between the dynamics, the thermal, the two-phase nature of the flow, the wall effects and the radiative transfers make the physics particularly complex. To better understand these couplings, the PROMES laboratory is developing fine numerical methods where fluid-particle interactions are explicitly simulated. The high-performance computing (HPC) code TrioCFD based on a Front-Tracking method has been modified to allow the simulation of solid particles [5]. It has been successfully used to simulate fluidized bed flows with several thousand particles (see Figure 1). However, the current method does not take radiative transfers into account.
The analysis of the technological locks related to the solar application identifies as a priority the development of the coupled simulation of the transport and the transfers of heat by conduction and by radiation in the gas-solid fluidized beds at high temperature. The major scientific challenge concerns the identification of the role of particle-particle and particle-wall radiative transfers through the study of its coupling with hydrodynamics. This development, essential for the application to concentrated solar power plants, has never before been carried out in the context of fine simulations of fluid-particle flow and constitutes a major opening towards multi-physics coupling.

Work to be done
Three stages of work to be carried out have been identified.
The first step consists in implementing the radiative transfers between the walls and the particles or between the particles within TrioCFD using the Front-Tracking method. This method has the advantage of using a mobile surface mesh to follow the fluid/solid interface. This mobile grid will be used for the calculation of the radiative transfers (see figure 2). The gaseous medium being considered as transparent, the particles as weakly reflective and the diffraction being able to be neglected, the radiosity method and the Monte-Carlo method will be evaluated to calculate the net radiative fluxes exchanged by each elementary surface of a particle and at each time step by following their displacement [6]. Two possibilities are considered: implementing a method for solving radiative transfers (radiosities or Monte-Carlo) within TrioCFD (online coupling) or coupling TrioCFD with another existing software for radiative transfer calculations (offline coupling). For this second possibility, the surface mesh of the particles and the temperature at the interfaces must be communicated to the external software. On this part of the work, the supervision will be reinforced by Cyril Caliot (CNRS, LMAP, UPPA) who has expertise in models and methods for solving radiative transfers.
The second step of the project will consist in validating the developments carried out on simple configurations. For example, by considering only the radiative transfers in geometries where the form factors are known.
The third step of the project consists in the implementation of fine simulation tools on simplified but representative configurations of the application to concentrated solar power plants to analyze and quantify the physical phenomena involved. The planned anisothermal flow configurations are: (i) The flow of a gas through a fixed network of particles; (ii) A small-scale gas-solid fluidized-bed type flow. Fine simulations will be carried out taking into account the coupling between transport and heat transfer by conduction and radiation between the particles and the walls.