Project description:
This Ph.D. position is integral to the HumanIC European training network. The initiative aims to cultivate early-stage engineers and scientists, adopting 
a novel, human-centric approach to indoor climate in Healthcare Environments. This position focuses on sustainable methods for designing and managing 
indoor environments characterized by a favorable thermal climate and minimized airborne particle spread. The approach combines laboratory measurements 
with numerical simulations, specifically Computational Fluid Dynamics (CFD) and advanced Visualization techniques, including Virtual and Extended Reality 
(VR and XR), to render the invisible aspects of indoor air quality perceptible and heighten awareness of its health impacts on occupants. The emphasis is 
on designing and optimizing building ventilation to enhance indoor air quality and thermal comfort, mitigate respiratory disease transmission, and ensure 
a healthy indoor climate for occupants. The HumanIC network spans 10 European countries, necessitating mobility as part of this role.

More information and application link: https://www.kth.se/lediga-jobb/750603?l=en

武汉科技大学核磁共振与分子科学交叉研究院“多相流与固废热化学转化”团队海内外人才及师资博
士后招聘
一、招聘团队简介及需求
武汉科技大学核磁共振与分子科学交叉研究院“多相流与固废热化学转化”团队主要从事化工与能源
领域的反应性多相流、固体废弃物分离及热化学转化、过程集成及强化等方面的模拟和实验研究。
核心研究方向（但不限于）如下：
1、反应性多相流（热态流态化等反应性多相流系统的多尺度模拟（MD、CFD等）与实验（原位与非
原位测量、反应器操作与设计等））；
2、固体废弃物分离及热化学转化制备燃料（柴油、航空煤油、合成气等）、化学品（甲醇、烯烃
等）和材料（金属离子电池负极、超级电容器电极等）等；
3、过程集成及优化（流程模拟、系统集成、协同强化、构型强化、外场强化等）。
现因团队发展需要，急需招聘海内外人才及师资博士后多名。
二、招聘岗位及条件
招聘岗位：香涛学者（含青年百人）、青年后备人才、师资博士后，具体如下：
1、香涛学者
基本申报条件：（1）在研究领域从事前瞻性、创新性研究，已取得同行认可的标志性研究成果，在
研究领域内具有一定的影响力，内地申请人原则上应具有主持国家级科研项目或课题的经历；（2）
当年1月1日，申请香涛学者原则上不超过40周岁（女性不超过42周岁），申请青年百人原则上不超
过38周岁（女性不超过40周岁）。
基本支持待遇：（1）直聘教授或副教授（长聘岗），博士生或硕士生导师，保证研究生招生指标及
办公面积；（2）基本薪酬每年不低于28万元，另享受业绩奖励绩效，聘期考核合格者，待遇不降；
（3）科研资助经费不低于30万元，另获批主持国家级科研项目或课题，学校配套经费；（4）安家
费不低于18万元，同时可廉价租住学校人才公寓；（5）学校协调子女入学入托省市重点、示范学
校；（6）优秀者，学校可安排配偶工作。
2、青年后备人才
基本申报条件：（1）拥有海内外知名高校、科研院所、企业博士学位或博士后科研经历，已经取得
一定的学术成果；（2）申请当年1月1日，原则上不超过34周岁。
基本支持待遇：（1）聘为准聘制副教授或讲师，硕士生导师，保证研究生招生指标及办公面积，聘
期考核合格者，转为长聘岗；（2）基本薪酬每年不低于20万元，另享受业绩奖励绩效；（3）提供
一定金额的科研资助经费，另获批主持国家级科研项目或课题，学校配套经费；（4）提供一定金额
的安家费，同时可廉价租住学校人才公寓；（5）学校协调子女入学入托省市重点、示范学校。
3、师资博士后
基本申报条件：（1）获得博士学位时间不超过3年，具备较强的科研能力，已经取得一定的学术成
果；（2）申报当年1月1日，原则上不超过32周岁。
基本支持待遇：（1）在站期间可申报高级职称，出站考核优秀直接转为香涛青年百人（长聘岗），
出站考核良好可转为准聘制教师；（2）基本薪酬每年20-26万元（支持三年），另享受业绩奖励绩
效；（3）提供科研资助经费不低于10万元，另获批主持国家级科研项目或课题，学校配套经费；
（4）学校提供住房补贴每月1800元（税后）；（5）学校协调子女入学入托省市重点、示范学校。
三、应聘方式
应聘者请将个人详细简历及其他支撑材料的电子版（主要包括个人基本信息、经历背景、研究方
向、主要学术成果及影响等）发送给罗老师：haoluo@wust.edu.cn，我们保证在收到应聘邮件一周
内给与回复。
满足申报条件、达成意向协议的，学校将优先推荐申报国家、地方各类人才项目，入选者纳入“楚才
卡”管理，持卡人在省内按照有关政策规定可享受出入境、落户、金融、税收优惠、医疗、养老等诸
多高效便捷的专享服务。更多待遇保障可参考：
https://mp.weixin.qq.com/s/ZpUdPaMqN7orvNQAd_wlEg。海外人才可参考：
https://www.wust.edu.cn/info/1501/418642.htm。

B-Fluid Ltd. (Buildings Fluid Dynamics Consultancy) is unique engineering 
consulting company based in Dublin where a team of fluid dynamics and 
aerodynamics experts combine experimental airflow's testing and advanced 
numerical modelling. The aim is to predict and simulate the behavior of fluid 
flows within the built environment to support performance-based designs, and to 
achieve challenging constructions and engineering goals. 

Due to increased project demand, we are recruiting for an Engineer with 
significant CFD knowledge to join our company.

Job Requirements:

- A master’s degree or PhD in an engineering discipline/Physics
- Previous experience in fire simulation, wind or façade modelling and HVAC will 
be an advantage
- Extensive Computational Fluid Dynamics modelling knowledge using programs such 
as FDS, OpenFOAM and Ansys
- Understanding of turbulence, heat and mass transfer
- A good working knowledge of fundamental thermodynamics and fluid dynamics
- Skilled in the meshing of complex geometries (snappyHexMesh, ICEM, AWB 
unstructured)
- Experience working with one or more of the following softwares: Matlab, FDS, 
Jasmine, Revit Autodesk, SketchUp, TRISCO, VOLTRA, Pathfinder, PyroSim
- Knowledge of latest building regulation and certification standards
- Demonstrated capabilities in Fluid Dynamics and Thermodynamics modelling, 
testing, analysis and reporting
- Preparation and running of the CFD cases, analysis of the results and write 
reports
- Experience in working as part of a team in schedule driven multiple discipline 
projects
- Strong interpersonal, communications and presentation skills
- Fluent in English 
- Hold an EU passport or work visa (exclusive requirement)


Please send your application including a cover letter and CV in pdf to info@b-
fluid.com. 

[extended deadline for applications: 30 September]



In-situ observations of dust show that super-coarse (diameter > 10 microns) and giant (diameter > 63 

microns) are prevalent in dusty regions of the planet and have a significant impact on the climate through 

radiative, cloud microphysics and biogeochemical interactions. However, recent work shows that models 

are unable to represent transport of these super-coarse dust particles without significant adjustments to 

particle sedimentation velocity, for which there is currently no viable physical explanation. 



In this studentship the student will perform lab experiments with a particle settling tank to improve our 

understanding of how non-spherical dust particles of various shapes and sizes fall through the 

atmosphere. The student will create a bank of ‘atmospheric analogues’ of dust particles made from a 3D 

printer of realistic sizes and shapes, from simple to complex. These will be informed by the creation of a 

database of dust size and shape properties, using data from airborne campaigns and also from using 

stereogram analysis from filter samples. The student will then perform laboratory experiments with the 

analogues in a glycerine tank, where the fluid density and particle size are adjusted to retain dynamic 

similarity to the atmosphere at realistic Reynolds numbers for the atmosphere. The results will be 

assessed for the impact of dust shape and size on settling velocity and fall orientation. These results are 

expected to provide information for dust transport models on realistic adjustments to settling velocity 

which may occur as a result of dust non-sphericity, impacting dust lifetime in models. 



The student will be based at the University of Reading, and will undertake a 5 month secondment to TUDa 

(Technical University of Darmstadt, Germany) to develop design inputs of 3D dust analogues using 

stereogrammetry. Additional secondments include 3 weeks at the National Observatory of Athens, Greece, 

(Dr Mallios) for knowledge exchange of the results to model simulations and 2 weeks to the Karlsruhe 

Institute of Technology, Germany (Dr Klose) for application of results to climate modelling.

Direct numerical modeling of mesosegregations during the solidification of low alloy steels

Background

Objectives of the PhD

Application of results

Work environment

Requirements

• Master's degree in mechanical engineering, materials science or physics.
• Good notions of heat & mass transfer, phase change, fluid dynamics, and numerical methods.
• Experience in numerical modeling (finite volume method appreciated).
• Proficiency in computer programming (C++, Python, OpenFOAM®).
• Proficiency in technical report writing and presentation.
• Sense of initiative, problem-solving and teamwork skills.
• Fluency in English, some knowledge of French is beneficial.

Additional information

Institut Jean Lamour With around 500 researchers, PhD students and technical staff, IJL is one of the largest materials science research centers in Europe. We work in metallurgy, nanomaterials, plasma physics, surface physicochemistry. The Department of Science and Engineering of Materials and Metallurgy (SI2M) focuses on metallurgical processes ranging from liquid metal treatment over solidification to solid transformation processes; all with the objective to control the formation of the structure of the final product. We work in tight collaboration with the industry and with international academic partners on a wide spectrum of projects, integrating industrial and fundamental problems.

Nancy has a population of 400 000 (metropolitan area) and is a major city in the region of Lorraine in the east of France. It is a strong center of higher education and research, with a total of 50 000 students. It has a flourishing student life and offers many social, cultural and sports activities.

How to apply

To apply, send us a short statement of your interests, your CV, and full academic transcripts of the last two years of your master's studies.

The University of Maine is a Carnegie R1 top-tier research institution and a 
land, sea, and space grant university, which serves as the flagship institution 
of the University of Maine System. UMaine’s ASCC has the largest wind-wave 
tunnel in North America, capable of replicating real-world ocean conditions by 
generating both wind and waves simultaneously. This facility plays a critical 
role in developing sustainable offshore energy technologies. More information 
about the facility is available at: composites.umaine.edu/oee-facilities.

Our research focuses on computational fluid dynamics (CFD) and active flow 
control within the fields of aerospace engineering, ocean engineering, and wind 
energy. Our goal is to enhance sustainability and advance future air mobility.
Research Opportunities: The successful candidate will develop and employ CFD 
methods (LES, IDDES, RANS) to explore fundamental flow physics problems in 
turbulent airwake and flow control, contributing to performance improvements. 
Specific areas of research may include:
1. Study the unsteady flow, near wake characteristics, and scaling effect in 
floating offshore wind turbines (FOWT).
2. Investigate the mechanisms behind bi-stable airwake phenomena in ships or 
bluff bodies.
3. Enhance the performance of wind propulsion technologies and VTOL (vertical 
take-off and landing) systems through high-efficiency active flow control 
methods.
4. Develop machine-learning-driven flow control and aerodynamic optimization 
methods for aerospace and renewable energy applications.
In addition to numerical simulations, candidates will have the opportunity to 
engage in experimental fluid dynamics at UMaine’s Advanced Structures and 
Composites Center (ASCC) using the state-of-the-art W2 wind-wave tunnel.

Education and Qualifications:
• A BS or MS degree in Aerospace Engineering, Mechanical Engineering, or a 
related field.
• For international applicants: TOEFL > 82, IELTS > 6.5, or PTE > 65.

Application Process: Interested candidates should email Dr. Kewei Xu 
(kewei.xu@maine.edu) with a CV, unofficial transcripts, and a brief statement 
discussing research ideas and future career goals. The successful applicant is 
expected to start in January or August 2025. Review of applications will 
continue until the position is filled.

See full announcement here:
https://www.jobbnorge.no/en/available-jobs/job/267468/phd-candidate-in-fire-safety-and-computational-modelling-cfd-of-fires-in-wooden-buildings

Note that applications must be submitted through that site.

Applications will be read when received, while the decision will be made after the deadline.

A postdoctoral position is opened at Pau, France, in Pau University/INRIA. Details on the position and how to apply are here:
https://jobs.inria.fr/public/classic/en/offres/2024-08126
Use the "apply" button of this link for applying, no application by email.

A unique opportunity to join our well-established core development team, to 
contribute to the OpenFOAM 6-monthly release cycles, close interaction with 
international Customers and on-site support engineers.
OpenCFD has been developing OpenFOM CFD software since 2004.


# Requirements

+ Minimum 3 years experience in core OpenFOAM Development
+ Intermediate to advanced knowledge of C++
+ Applicants must be eligible to work in the UK 

# Desirable

+ Solver experience; segregated and coupled solver
+ Physics Modelling experience in Heat Transfer, Combustion, Radiation
+ Scripting e.g. bash, ruby, python
+ Understanding of meshing concepts, computer architectures, HPC and parallelism
+ GPU

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

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

(PhD) SCIENTIST

Computational Fluid Mechanics
Ref.No SK114


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


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


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


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

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