Global targets to cut carbon-dioxide emissions by 2050 are pushing forward the 
development of sustainable aircraft.  If action is not taken, the annual 
atmospheric CO2 emissions from aviation are expected to grow 67% by 2050 [1].  
While small sub-regional aircraft are seeing transition to fully electric 
propulsion systems, significant technological development is needed to 
decarbonise larger regional, narrowbody, and widebody aircraft. Based on current 
trends, it has been predicted that the regional aircraft market will see the 
first use of hydrogen technology in service with the use of hydrogen fuel cell 
architectures as early as 2035 [2]. 

Converting hydrogen fuel and oxygen into electricity using reverse electrolysis, 
hydrogen fuel cells are not without their challenges. Despite the high energy 
density of hydrogen, its very low volumetric energy density is problematic for 
aircraft applications, particularly in terms of fuel storage. While many 
industrial players and academic researchers focus on this on this challenge, a 
lesser-known challenge lies in the large quantities of heat generated by 
hydrogen fuel cell stacks.  According to Scholz et al. [3], the amount of heat 
produced by Proton Exchange Membrane fuel cells (PEMFCs) is of the same order of 
magnitude as the electrical power produced. Adapting and optimising fuel cell 
cooling and thermal management systems specifically for aerospace applications 
presents a significant technical challenge.  


[1] FlyZero Aerospace Technology Institute (2022) Market Forecasts & Strategy. 
Available at: https://www.ati.org.uk/wp-content/uploads/2022/03/FZO-CST-REP-
0043-Market-Forecasts-and-Strategy.pdf (Accessed 13 March 2024)
[2] FlyZero Aerospace Technology Institute (2022) Technology Roadmaps. Available 
at: https://www.ati.org.uk/wp-content/uploads/2022/03/FZO-IST-MAP-0012-FlyZero-
Technology-Roadmaps.pdf (Accessed 13 March 2024)
[3] Scholz, A.E., Michelmann, J., and Hornung, M. (2023) Fuel Cell Hybrid-
Electric Aircraft: Design, Operational, and Environmental Impact. Journal of 
Aircraft 60(3), pp.606-622


Project Aims:
This project will explore innovative thermal management solutions for aircraft 
fuel-cell systems with a focus on miniaturization and weight reduction. 

It is expected that the project will involve:
-	Multiphase (and potentially multiscale) fluid modelling using 
Computational Fluid Dynamics (CFD).  
-	Development/use of tools to model the integration thermal management 
systems within the aircraft conceptual design stages.  

Requirements:
•	Candidates should hold a first or second-class Honours degree in 
Aerospace, Mechanical, Electrical Engineering, or other relevant disciplines. 
•	Candidates should be passionate about making contributions to 
sustainable aviation challenges. 
•	A strong background in fluid simulation, thermal management and/or 
aerospace design are desirable but not essential.


How to apply:
Interested candidates are invited to submit their CV, academic transcripts, and 
a brief statement detailing their research interests and how their knowledge 
applies to the proposed topic. Please send your application to 
stephanie.docherty@hw.ac.uk, referring to the project title. Shortlisted 
candidates will be contacted for interviews.

Application Deadline: 22/07/2024


This studentship is open to UK citizens and EU applicants with pre-settled or 
settled status.  
International candidates are welcome to apply, however only the home student’s 
tuition fees are covered. Additional funding may be made available for excellent 
international applicants. 

Job Description: PhD in Fluid Topology Optimization of Compact Heat Exchangers

Position Overview:
We are seeking a highly motivated and skilled Research Assistant to join our 
interdisciplinary research team at King's College London. 
The successful candidate will contribute to a pioneering project aimed at 
revolutionizing the design and manufacturing of compact heat exchangers. 
The research will focus on leveraging additive manufacturing, high-fidelity 
Computational Fluid Dynamics (CFD) simulations, and fluid topology optimization 
to enhance the thermal performance and efficiency of heat exchangers across 
various engineering applications.

Responsibilities:
1. Conducting extensive literature reviews on additive manufacturing 
technologies, fluid topology optimization, high-fidelity CFD simulations, and 
compact heat exchangers to inform research objectives and methodologies.
2. Collaborating with the research team to develop an integration framework that 
seamlessly combines additive manufacturing capabilities, high-fidelity CFD 
simulations, and fluid topology optimization algorithms.
3. Utilizing the developed framework to investigate and optimize heat exchanger 
designs, with a focus on maximizing thermal performance, reducing pressure drop, 
and minimizing size and weight.
4. Designing and conducting experiments using flow measurement/visualization 
rigs to validate simulation results and assess real-world performance of 
optimized heat exchanger designs.
5. Analyzing data, interpreting results, and contributing to the dissemination 
of research findings through publications, presentations, and reports.
6. Adhering to project timelines and milestones, and collaborating effectively 
with team members to achieve research objectives.

Qualifications:
- A Master's degree or equivalent in Mechanical Engineering, Aerospace 
Engineering, Computational Sciences, or a related field.
- Strong background in Computational Fluid Dynamics (CFD), fluid mechanics, and 
heat transfer.
- Proficiency in programming languages such as Python, MATLAB, or C++.
- Experience with additive manufacturing technologies and CAD software.
- Excellent analytical and problem-solving skills, with the ability to work both 
independently and collaboratively in a research team.
- Effective communication skills, with the ability to present complex technical 
concepts clearly and concisely.

Duration: This is a full-time position for the duration of the research project, 
with an initial appointment period of 3 years and the possibility of extension 
based on performance and funding availability.

Application Process:
Interested candidates should submit a detailed curriculum vitae (CV), a cover 
letter outlining their research interests and relevant experience, and contact 
information for at least two references to Dr. Juan Li (juan.li@kcl.ac.uk) and 
to Dr. Richard Jefferson-Loveday(https://www.kcl.ac.uk/people/richard-jefferson-
loveday). 
Review of applications will begin immediately and will continue until the 
position is filled.

Equal Opportunity Statement:
King's College London is committed to diversity, equity, and inclusion, and 
encourages applications from individuals of all backgrounds and identities. 
We are dedicated to creating a welcoming and inclusive environment where all 
members of our community can thrive.

Job description - R3606959 Working Student - Compressor Inclement Weather

Summary:
In the framework of Catalyst engine certification process a number of numerical 
analyses are being carried out in order to predict inclement weather threats for 
the engine - such as icing, rain, hail or other particle matter ingestion. 
The Aerodynamics team at GEA Munich is looking for a student who will be 
responsible for the numerical modeling of the inclement weather threats. 
The student will furthermore support the planning, execution and presentation of 
the project. 
The task is envisioned to have a duration of 6 months.
The work will involve the setup of complex numerical models (particle tracking 
in Ansys CFX), results post-processing, as well as interpretation of multi-phase 
CFD data. 

Your specific responsibilities will include: 
perform and interpret numerical simulations; 
participate in and present during technical reviews; 
work on the task with the support of members of the Aerodynamics team and under 
supervision of a dedicated mentor.

Desired qualifications include:
• Good understanding of the physics and principles associated with 
turbomachinery aerodynamics.
• Proven track record in delivering on complex programs and ability to work in 
crossfunctional global team in multi-cultural environments.
• Demonstrated ability to advance the technology state of the art and ability to 
generate innovative solutions.
• Fluency in English.

Are you interested in this position? 
Please send your application in German or English with the relevant documents to 
Mr. Steffen Jebauer (Steffen.Jebauer@ge.com) and to Mr. Andrea Milli 
(andrea.milli@ge.com).

Job Description: PhD in 3D Topology Optimization in Multi-physics Problems

Topology optimization stands as a paramount engineering design methodology, 
surpassing conventional shape and size optimization by theoretically generating 
optimal structures de novo. 
The burgeoning interest in applying topology optimization across various 
industries underscores its significance in addressing diverse design challenges. 
This project endeavors to pioneer a technological breakthrough by developing a 
platform for high-fidelity, high-resolution, and robust 3D topology optimization 
tailored for multi-physics phenomena, encompassing thermofluid dynamics and 
fluid-structure interaction.

Key Objectives:
- Spearheading the development of a cutting-edge technology for 3D topology 
optimization capable of addressing multi-physics problems.
- Harnessing expertise in computational fluid dynamics (CFD) code development, 
optimization techniques, and leveraging high-performance computing (HPC) 
resources.

Responsibilities:
- Collaborating with interdisciplinary teams to conceptualize and implement 
advanced algorithms for 3D topology optimization.
- Conducting thorough research and development to enhance the fidelity, 
resolution, and robustness of the optimization framework.
- Contributing to the integration of multi-physics simulations, particularly in 
thermofluid dynamics and fluid-structure interaction, into the optimization 
process.
- Validating and benchmarking the developed methodologies through rigorous 
testing and comparison with existing approaches.
- Disseminating research findings through peer-reviewed publications and 
presentations at academic conferences.

Qualifications:
- Master of Science (MSc.) degree in Aerospace Engineering, Mechanical 
Engineering, or a closely related field.
- Demonstrated experience in CFD code development, optimization algorithms, and 
proficiency in high-performance computing.
- Strong analytical skills and a keen interest in tackling complex engineering 
problems.
- Ability to work collaboratively in a multidisciplinary research environment 
and communicate technical concepts effectively.

Application Process:
Interested candidates should submit a comprehensive curriculum vitae (CV), a 
cover letter outlining their relevant experience and research interests, and 
contact information for at least two references to Anadika Paul Baghel 
(a.baghel@tu-braunschweig.de) and Inken Knop (i.knop@tu-braunschweig.de).

Equal Opportunity Statement:
We are committed to fostering diversity, equity, and inclusion in our research 
community and encourage applications from individuals of all backgrounds and 
identities. 
We aim to create an inclusive environment where all members can thrive and 
contribute to cutting-edge research initiatives. 

Job Description: Research Associate for the CFD-Wind Energy Project, NG/2404

The Esslingen University of Applied Sciences is seeking a Research Associate for 
an immediate position within a wind energy research project at the Faculty of 
Applied Natural Sciences, Energy, and Building Technology, located at the 
Esslingen Campus.

The global advancement of wind energy as a renewable and environmentally 
friendly source of power is underway. 
Increasingly, hilly, mountainous, and forested areas are being tapped for wind 
energy generation. 
Due to orography and land use, these areas often exhibit heterogeneous wind 
flows coupled with high turbulence. 
Thus, identifying suitable locations becomes a challenging task, demanding 
innovative simulation methods for the detailed characterization of meso- and 
micro-scale flow phenomena within the atmospheric boundary layer.

Our Conditions:
- Remuneration will be in accordance with the assigned duties and personal 
qualifications, up to Salary Group 13 TV‑L.
- Employment volume may be up to 100%.
- The position is initially limited until July 31, 2027.

Your Responsibilities:
- Development and implementation of numerical fluid flow simulation models (CFD) 
to describe fluid mechanics and thermodynamic phenomena within the atmospheric 
boundary layer, considering orography and land use.
- Participation in a research project funded by the Federal Ministry for 
Economic Affairs and Climate Action (BMWK), aimed at submitting a doctoral 
thesis.
- Publication of research findings in peer-reviewed journals and presentation at 
scientific conferences.

Your Profile:
- Master's degree in Engineering or Physics.
- Enthusiasm for academic research in the field of wind energy.
- Ability to work independently on innovative topics.
- Strong interest in collaborating with other research groups in an 
interdisciplinary project.
- Solid knowledge of fluid mechanics and thermodynamics.
- Proficiency in CFD, preferably with OpenFOAM.
- Additional knowledge of the Linux operating system and programming languages 
such as Python, C, or C++ is desirable.

Application Process:
Interested candidates should submit a detailed curriculum vitae (CV), a cover 
letter outlining their research interests and relevant experience, and contact 
information for at least two references to Prof. Dr. Hermann Knaus 
(hermann.knaus@hs-esslingen.de), and to Prof. Dr.-Ing. Rainer Stauch 
(rainer.stauch@hs-esslingen.de). 
Review of applications will begin immediately and will continue until the 
position is filled.

Equal Opportunity Statement:
The Esslingen University of Applied Sciences is committed to diversity, equity, 
and inclusion, and encourages applications from individuals of all backgrounds 
and identities. 
We are dedicated to creating a welcoming and inclusive environment where all 
members of our community can thrive.

Context
In order to increase the efficiency of next-generation solar tower power plants, the operating temperature of the solar receiver must be increased to around 1000°C. Current transfer fluids cannot withstand these temperature levels, so new alternatives must be found. One way of achieving this goal is to use a gas-particle mixture as the transfer fluid within the solar receiver. Controlling gas-particle flows in future solar tower power plants is a major scientific challenge. Couplings between agitation, the two-phase nature of the flow and temperature make the physics particularly complex. This PhD thesis aims to improve the understanding and modeling of parietal heat transfer in these flow configurations.

Objectives
The objectives of the PhD project are as follows (presented in chronological order):
1. Development of the thermal part of the fluid-particle numerical simulation method using the Front-Tracking method of the TrioCFD software and a DEM approach.
2. Realization and analysis of anisothermal numerical simulations of dense gas/particle flows.
3. Development of heat transfer models between the solar receiver wall and the gas/particle mixture. 

Method
In this PhD thesis, we will use the Front-Tracking method of the TrioCFD software to take into account the two-phase nature of the flow. This uses a moving surface mesh that explicitly represents the interfaces. It can therefore accurately describe any particle geometry and its interaction with the surrounding fluid. Recently, this method, originally developed for liquid/gas flows, has been adapted for fluid/particle flows (see [1] and [2]). Particle/particle interactions are modeled by Soft Sphere Collision Laws (SSCL), and the non-deformable nature of the particles is achieved by penalizing them with the viscosity of the solid phase.  
To simulate dense fluid/particle flows, by explicitly representing the particles, we use high-performance computing and several hundred or even thousands of processors. According to the literature, direct numerical simulation (DDS) of fluidized beds requires mesh sizes of at least forty meshes per particle diameter, in order to properly capture the viscous sublayer (friction) and the conductive sublayer (fluid/solid heat transfer). These simulations are therefore extremely costly numerically. However, to take into account the collective effects prevalent in this type of flow - and thus get closer to solar applications - it is essential to carry out simulations with more than 10,000 particles. The aim of this PhD thesis is to find the resolution that strikes the right balance between computational cost, accuracy and representativeness of flows in high-temperature solar receivers. 
To this end, the PhD student will carry out a mesh sensitivity study and a parametric study on the size of the domain and the number of particles simulated. He/she will build up an extensive database of anisothermal fluidized bed simulations resolved on a scale smaller than particle diameter. He/she will physically analyze the results obtained. Particular attention will be paid to parietal heat transfer.  For example, the part of the flow exchanged with the particles and that exchanged with the gas will be evaluated. To do this, he/she will look at averages, standard deviations, Fourier transforms and probability densities of these heat fluxes as a function of flow properties.
These analyses will enable the development of heat transfer models between the wall of the solar receiver and the gas/particle mixture. A first step could be the development of a correlation for the mean wall to bed heat flux. However, the aim of the PhD work is more ambitious, with the development, by upscaling, of a model that can be used in the Euler-Euler approach (two-fluid model - TFM). The challenge is to estimate the instantaneous local wall to bed heat flux from data such as solid volume fraction, gas and dispersed phase velocities and temperatures, and fluid and particle agitation.

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.