Bubble-particle systems are encountered in a wide range of industrial and 
environmental applications (flotation, bioreactors, slurry bubble columns) but 
the complex dynamics and interactions make the design and operation of such 
systems particularly challenging. This collaborative project between the 
University of Birmingham and McGill University (Montreal, Canada) aims at better 
understanding bubble-particle dynamics for novel applications in recycling.

This project is in collaboration with Professor Kristian Waters at McGill 
University, with the possibility of a research placement in his laboratories 
during the PhD. The student will also benefit from association with the EPSRC 
PREMIERE Programme Grant (https://premiere.ai) and be part of the PREMIERE 
research team including researchers from Birmingham, UCL and Imperial College.

Froth flotation is an established method of separating minerals in a slurry 
based upon the relative hydrophobicity of the particles and while it has been 
used for decades in the minerals industry to recover high value materials, less 
attention has been paid to ridding water of low value ones (e.g. plastics). 
Surface active agents known as collectors are used to enhance the particle 
separation with the polar part of the molecule becoming attached to surface of 
the target particles, with the hydrophobic part forming a surface which is 
attracted to bubbles in the liquid. The target particles rise with the bubbles 
to form a froth, which overflows the cell to be recovered. To maintain stable, 
small bubbles, frothing agents known as frothers are added. The froth flotation 
principle has the potential to be used in a variety of novel applications 
outside its original use in the minerals industry, for example in the recycling 
of plastics or battery materials. However, there are many aspects of its 
operation which are still poorly understood which affect the overall efficiency 
of the process.

This project will aim at investigating:
    - the dynamics of the frothing agent with the forming bubble interfaces: how 
the surface-active molecules alter the local interfacial tension and how 
Marangoni stresses may impact the performance of the froth and the attachment of 
the particles;
    - the interaction of the particles in the wake of the bubbles, where recent 
research has shown that this may be an important feature affecting the process 
selectivity, therefore efficiency. Both are critical to understanding the 
overall potential and efficiency of separation in novel applications.

The research will involve a series of experimental work involving visualisation 
of particle and bubble dynamics in small-scale test cells and measurements of 
interfacial properties including dynamic interfacial tension. These will feed 
into a finite volume numerical model based on open-source libraries (OpenFOAM or 
Basilisk). The interfacial properties measured in the lab will be implemented 
and 3D numerical simulations of bubbly flows will be performed. The dynamics of 
the solid particles will also be coupled to the bubble dynamics and will be 
compared to the experiments in terms of flow structure, entrainment in the wake 
and adhesion to the interface. The understanding of these phenomena at reduced 
scale will help in developing empirical or data-driven models for improving 
larger scale models and the design of flotation columns.

Funding: EPSRC DTP/College studentship in support of EPSRC PREMIERE Programme 
Grant (EP/T000414/1).

Applicant: Applicants must be eligible for home fee status and should have a 
first-class degree or good 2:1 (or equivalent) in Chemical Engineering, 
Mechanical Engineering, Computing, Mathematics, or related areas. We are looking 
for an enthusiastic and self-motivated person with a keen interest in conducting 
numerical simulations, as well as experimental work in the lab.

Deadline: The position will be filled as soon as a suitable person has been 
found; hence you are encouraged to apply as soon as possible (by email to 
t.abadie@bham.ac.uk or online https://www.birmingham.ac.uk/schools/chemical-
engineering/postgraduate/phd-research.aspx). PhD Starting October 2024 or soon 
after. 

The research activity deals with the numerical analysis of the flow field through open and ducted wind turbines. 
The analysis will include both 3D blade-resolved, actuator line and actuator disk RANS simulations, which will be compared to the results of an LES actuator line approach. 
The objective is to investigate the effect of the main geometrical parameters and operating conditions on the device performance and the stability of the duct boundary layer.

Net salary: 1817.58 euro/month

Contract duration: 1 year
The commencement of the contract is scheduled for the 1st of October 2024. 
The initial 3-4 months can be conducted remotely to facilitate the process of finding accommodation and addressing administrative matters.
The company International Students Union (https://www.isu-services.it/it/universities/universita-degli-studi-di-napoli-federico-ii) could give you some assistance in locating accommodation in Naples. 
The service, offered on behalf of the University of Naples Federico II, is free of charge.

More information on the application procedure (including the deadline) will be provided by mail.

The evaluation process will be probably carried out in September and it is divided into two steps: 
an assessment of the candidates' curricula (publications and MSc final grades), and an online interview.

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：香涛学者学术带头人、香涛学者学术骨干、香涛青年百人（青年学术带头人、青年学术
骨干）、青年后备人才、师资博士后，具体如下：
1、香涛学者学术带头人
基本申报条件：（1）在学术研究领域从事前瞻性、创新性研究，已取得学术同行认可的标志性研究
成果，在研究领域内具有一定的学术影响力；（2）申报当年1月1日，原则上不超过40周岁（女性不
超过42周岁）。
基本支持待遇：基本薪酬每年45万元左右，享受业绩奖励绩效，安家费70-160万元，科研资助经费
60-160万元，直聘教授（长聘岗）。
2、香涛学者学术骨干
基本申报条件：（1）在学术研究领域从事前瞻性、创新性研究，已取得学术同行认可的标志性研究
成果，在研究领域内具有一定的学术影响力；（2）申报当年1月1日，原则上不超过40周岁。
基本支持待遇：基本薪酬每年30万元左右，享受业绩奖励绩效，安家费18-50万元，科研资助经费
30-70万元，直聘教授或副教授（长聘岗）。
3、香涛青年百人
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
较好的学术成果，其学术见解或者技术成果的独创性和原创性较高；（2）申报当年1月1日，青年学
术带头人原则上不超过38周岁，青年学术骨干原则上不超过36周岁。
基本支持待遇：基本薪酬每年28-45万元，享受业绩奖励绩效，安家费18-130万元，科研资助经费
30-160万元，直聘教授或副教授（长聘岗）。
4、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）申报当年1月1日，原则上不超过34周岁。
基本支持待遇：基本薪酬每年16-21万元，享受业绩奖励绩效，提供一定金额的安家费和科研资助经
费，聘为准聘制讲师（优秀者可聘为准聘制副教授）。
5、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，取得较高水平的研究成
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：支持三年，基本薪酬每年20-26万元，享受业绩奖励绩效，住房补贴每月1800元，提
供科研资助经费10-15万元，考核达到要求后可申请转准聘制教师或香涛青年百人。
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。

Job Opening cod. 12569
CMCC Position
Post-Doc or Jr Scientist on Ocean Wave Modelling
(Deadline: June 15th, 2024)


ABOUT US

The CMCC Foundation is a scientific research center on climate change and its 
interactions with the environment, society, the world of business, and 
policymakers.
Our work aims to stimulate sustainable growth, protect the environment, and 
develop strategies for the adaptation and mitigation of climate change.

WHAT WE ARE LOOKING FOR

Our Institute for Earth System Predictions (IESP) is hiring a talented, motivated 
and proactive Post-Doc or Junior Scientist to work in the Global Coastal Ocean 
division in the framework of the EDITO-ModelLab and FOCCUS projects.
The position is open for an Ocean Wave Modeller to join our dynamic team and 
contribute to cutting-edge research in wave modelling at both global and coastal 
scales.


Workplace location: Lecce or Bologna


ROLE AND RESPONSIBILITIES

The position involves conducting research activities focused on global and coastal 
processes, understanding the connection between different spatial scales with a 
seamless continuum approach.
The study will mainly investigate extreme events, with a special focus on waves 
and storm surges, with the aim of contributing to the design of mitigation and 
adaptation strategies against climate change.
The work will include developing and implementing wave spectral models and 
coupling with circulation models, performing high-resolution modeling simulations 
using unstructured grids, calibrating models with observational data, and applying 
downscaling techniques both dynamic and based on Artificial Intelligence.
Furthermore, it will contribute to improving the complexity of our coupled 
numerical models, including new physics, and investigating interactions between 
waves, currents, atmosphere, and ice. The study will focus on short-term 
forecasting and long-term climate scenarios, employing both deterministic and 
ensemble approaches.


REQUIREMENTS

We are seeking candidates with a strong background in wave modelling and coastal 
nearshore processes. Proficiency in programming languages and experience with 
processing and interpreting simulation-based and observational datasets are 
essential for success in this role.


PhD or equivalent experience in Physical Oceanography, Coastal Engineering, 
Computational Fluid Dynamics or other scientific disciplines dealing with 
numerical modelling (e.g. Physics, Mathematics)
Experience in developments and implementations of ocean wave models
Knowledge of coastal processes and high-resolution modelling, preferably based on 
unstructured mesh
Good knowledge and skills in programming language, preferably Python and 
Fortran/C.
Knowledge of UNIX/Linux operating systems and script languages (i.e. *nix shell)
Knowledge of parallel programming on HPC architectures
Fluency in English
Experience in ensemble forecasting is not mandatory but will be a plus
Knowledge of general ocean circulation models is a plus and will be positively 
evaluated


DURATION, COMPENSATION & BENEFITS
The appointment period will be initially of 12 months starting from June 2024, 
renewable for 24 months additional months pending a positive evaluation. Tenure 
can be granted from 2 to 4 years after being appointed as a junior researcher.
The gross annual salary range is from 32 to 38K Euros for the PostDoc and 35 to 
45K for the Junior Scientist, depending on qualification and working experience.
Welfare package
Flexible working time
Support during the immigration process, if needed

Belonging to legally protected categories (ex L. 68/99) will constitute a 
preferential condition.

Some fiscal benefits could be applied for repatriated workers or foreign 
researchers/professors, having the requirements defined by Dlgs 147/2015 (for 
repatriates) or Dl 78/2010 (for foreigners).

CMCC is an equal-opportunity employer. We evaluate qualified applicants without 
regard to race, color, religion, sex, sexual orientation, gender identity, 
national origin, disability, veteran status, age, familial status, and other 
legally protected characteristics. Please omit from your CV any data you or we 
might consider discriminatory.

This job announcement is an invitation to express interest in the above-mentioned 
CMCC Position.

An exciting opportunity is now available for a PhD candidate to undertake a 
research project on a future, low-emission ironmaking technology – the Electric 
Smelting Furnace (ESF). Based at the University of Wollongong (UOW) in the 
School of Mechanical, Materials, Mechatronic and Biomedical Engineering.

The specific research aim is to develop and validate computational fluid dynamic 
models to simulate and better understand operating conditions in the ESF. The 
research is part of the ESF program which includes complex physical experiments 
and numerical studies. The PhD candidate will work within a team of UOW 
investigators and their industrial partner investigators, and be trained to 
undertake high-quality, cutting-edge numerical modelling of multi-phase and 
multi-physics phenomena in the ESF.  

There will be ample opportunity for the PhD candidate to work in both industrial 
and academic environments, and hence, develop industry-related project 
management skills. The professional training and personal development through 
this project and the university’s overall mentoring scheme, will help prepare 
the candidate for a career in academia or industry.

Selection criteria
Essential
• Academic qualification. Applicants should hold an honours (or equivalent) 
undergraduate degree, or a Masters degree, in a closely related discipline, or 
the equivalent combination of professional experience and academic 
qualifications
• High level written and verbal communication skills in English, presenting 
research work and outcomes to both the industrial and academic communities
Highly Desirable
• Knowledge in either CFD, metallurgical process, or numerical process 
simulation
• Experience in one or more areas: numerical analysis, fluid dynamics, 
computational methods, materials engineering, or thermo-physics.
• Good computer skill, and ability to work collaboratively as part of a multi-
disciplinary team
• (Desirable but not essential) Familiarity with CFD software or CFD programming

Scholarship amount: Successful candidates will receive a tax-free stipend of 
up to $AUD 45,000 per annum for the duration of the award.

Duration: 3.5 years.

Application process
• Applicants should submit a cover letter detailing relevant experience and 
research interest; CV with names and addresses of two referees; and academic 
transcripts.
• We seek applicants from diverse backgrounds, reflecting all facets of prior 
experience or history.
• The EOI should be sent via email to xuefeng@uow.edu.au AND rayl@uow.edu.au.

Application closing date: The position will close once the appropriate candidate 
has been recruited.

Multi-dimensional Optimal Order Detection techniques for Arbitrary Lagrangian Eulerian (schemes) for compressible flows PhD

A fully funded PhD studentship with a bursary of £25,000 p.a. (tax-free) plus UK Home student fees for four years in the Centre of Computational Engineering Sciences at Cranfield University.

This is a great opportunity to work closely with AWE, for advancing state-of- the-art mathematical models and simulation capabilities. We are looking for an enthusiastic and motivated researcher with a strong interest in computational fluid dynamics (CFD), to join a diverse and inclusive research group. The Advanced Numerical Methods (ANM) Group specialises in cutting-edge research and consulting services focused on pioneering methods for CFD.

This exciting research seeks to evolve the forefront of computational fluid dynamics (CFD) methods for compressible flows in the emerging Exascale High- Performance Computing (HPC) landscape. The aim is to achieve high-order of accuracy but also to obtain physically meaningful results that can advance the landscape of engineering simulations.

The choice of the best numerical method, governing equations, and framework is far from obvious and unique. Employing a MOOD-style algorithm that continuously scrutinises every facet of the numerical solution, ensuring adherence to both physical and numerical admissible criteria. This algorithm unlocks several possibilities and enables high-accuracy and computational efficiency across single- and multi-physics simulations.

However for Arbitrary Lagrangian Eulerian (ALE) frameworks, conservation errors, dissipation errors in regions of low-mesh quality, and carbuncle are just some of the issues that persist. The primary goal of this project is to advance the MOOD techniques for ALE frameworks by establishing new metrics that can accurately capture conservation errors during mesh deformation, bypassing/minimising the carbuncle phenomenon, establishing new physical and numerical admissible detection criteria for ALE, evaluate any potential benefits of high-order methods in the ALE context, and advance an available open source CFD software with the newly formulated algorithms/methods/frameworks.

Cranfield University’s Computational Engineering Sciences Centre and Advanced Numerical Methods Group will host this project, benefiting from a proven track record in pioneering and implementing cutting-edge methodologies across the entire spectrum of computational fluid dynamics and close collaborations with other research groups around the globe. AWE will serve as the industry sponsor for this project, providing valuable support by computational physics specialists.

The results of this project will contribute to an improved understanding of the possibilities and limitations of high-order MOOD methods for ALE schemes of compressible flows. The developed tools and methods will be implemented in massively parallel open-source CFD software and demonstrate best practices for method/equations/formulation selection for emerging architectures of Exascale High Performance Computing (HPC) facilities.

The student involved in this project will acquire valuable skills through several experiences including attending modules from our MSc in CFD, attending workshops for Exascale HPC in national facilities, visiting several European research groups that the centre is in close collaboration for enhancing the depth and breadth of their research methods and growing their network, and close collaboration with our partner, AWE. The student will be supported to present in international conferences, and workshops and further enrich their skillset.

Entry requirements

Funding

Sponsored by EPSRC, AWE and Cranfield University, this DTP studentship will provide a bursary of up to £25,000 (tax free) plus fees* for four years.

To be eligible for this funding, applicants must be UK national.

Diversity and Inclusion at Cranfield

At Cranfield, we value our diverse staff and student community and maintain a culture where everyone can work and study together harmoniously with dignity and respect. This is reflected in our University values of ambition, impact, respect and community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing.

We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working Families, and sponsors of International Women in Engineering Day. We are also Disability Confident Level 1 Employers and members of the Business Disability Forum.

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

If you are eligible to apply for this research studentship please complete the online application form.

For further information please contact
Dr Panagiotis Tsoutsanis
E: panagiotis.tsoutsanis@cranfield.ac.uk

Two postdoctoral positions are available at the State Key Laboratory of Nonlinear Mechanics, Institute of 
Mechanics, Chinese Academy of Sciences in the following areas: 1) computational methods and 
aerodynamics for air vehicles under gusty inflow, 2) wake identification and control. 

Applicants should hold a PhD in related fields. A strong background in computational fluid dynamics and 
machine learning methods is preferred. 

Please send your CV, and copies of no more than three representative publications to the following email 
address:  xyang@imech.ac.cn. 

The annual salary is 300,000 CNY (negotiable for exceptional candidates). 

The group information can be found at the following links: https://people.ucas.edu.cn/~yanglab4. 

Applications are invited for a project scientist position at IIT Delhi Center of 
Excellence in climate modeling, sponsored by DST India. The goal of the project 
will be to improve convective schemes in General Circulation Models (GCMs). 

Minimum qualifications for the position are: B.Tech with GATE qualification or 
M.Sc. with NET qualification. M.Tech./Ph.D. degree and publications in reputed 
international journals is desirable. 

Pay scale: According to IIT Delhi and DST norms. Duration: Initially for 3 
months (casual basis), and then for 1 year. Starting: May 2024

The candidate should have a strong academic background in fluid mechanics, 
thermdynamics, computational fluid dynamics, and machine learning. The candidate 
should be comfortable with carrying out theoretical analysis involving advanced 
engineering mathematics. The candidate should have demonstrated excellent coding 
skills in CFD (e.g. in C/C++/Fortran etc.) in the past, and should be 
comfortable with working/modifying open source packages (e.g. OpenFOAM/WRF 
etc.). Knowledge of atmospheric science and experience with parallel computing 
on high performance computing setups is desirable.       

Interested candidates who meet the minimum qualifications may email their CV and 
any other relevant documents (e.g. links to thesis, papers, reports)  to Prof. 
Amitabh Bhattacharya (bhattach@iitd.ac.in) and Prof. Vamsi K. Chalamala 
(vchalama@am.iitd.ac.in), department of Applied Mechanics, IIT Delhi.  

PhD position within fire safety and fire development in buildings with wooden surfaces.

The project work will have emphasis on computational work, i.e., investigations using CFD and development of submodels.  It will include collaboration and participation in experimental work. Close collaboration and communication with relevant actors in the FRIC network are required to optimize the impact of the work in the relevant areas. The exact problem specification will be made in cooperation with the supervisors.

Announcement with details:
https://www.jobbnorge.no/en/available-jobs/job/262763/phd-candidate-in-fire-safety-and-fire-development-in-buildings-with-wooden-surfaces

Applications have to be uploaded via this link.