Job Reference
628_24_CASE_PTG_R2
Position
Researcher - Development of multi-regime and dual-fuel models with Artificial Intelligence for gas turbine combustion applications (R2) – AI4S
Closing Date
Monday, 30 September, 2024
Reference: 628_24_CASE_PTG_R2
Job title: Researcher - Development of multi-regime and dual-fuel models with Artificial Intelligence for gas turbine combustion applications (R2) – AI4S
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The path to a greener society passes through decarbonization of the combustion processes, which are paramount in the energy and transport sectors. In the case of the latter, aviation represents a 4 % of the total greenhouse gas emissions in the European Union. Reducing this contribution demands the development of new combustion technologies and fuels aiming at producing lower level of gaseous emissions such as soot, CO2 and NOx. In this regard, hydrogen has gained a massive interest in the recent years due to the inexistence of carbon atoms in its composition, resulting in a direct mitigation of carbon-bases pollutants. Nevertheless, the complexity of hydrogen combustion (larger combustion speeds, wider flammability limits, high NOx production, multi-regime combustion) requires further research efforts for allowing its future application in real engines. In this sense, dual-fuel systems where hydrogen is combined with traditional fuels (such as natural gas or kerosene) represent an interesting intermediate step towards the application of hydrogen as fuel. Being these concepts still on their offspring, more research is then needed for better understanding the underlying physical process and assessing their viability.
Among other research methodologies, Computational Fluid Dynamics (CFD) has gained popularity in the last decades due to the increase in computational power which has led to the appearance and development of supercomputers, such as the MareNostrum 5. For combustion applications, numerical tools based on Large Eddy Simulations (LES) have been demonstrated to provide reliable results for studying unsteady reactive flows in gas turbines. The combination of these tools with Artificial Intelligence (AI), which has undergone an exponential growth in the last years, presents an excellent opportunity to tackle the research needs for hydrogen and dual-fuel combustion. This project aims at developing models and analyzing combustion systems with CFD-LES and AI, mostly with methods based on machine learning such as Principal Component Analysis (PCA) and deep neural networks, for such applications.
The applicant will join the Propulsion Technologies Group (PTG), a research group from the Computer Applications in Science and Engineering (CASE) Department at the Barcelona Supercomputing Center. As part of the PTG, the applicant will join a multidisciplinary team with background in advanced computational models for high fidelity simulation of energy conversion systems. The PTG is actively involved in several European research-oriented for which results are disseminated in highly ranked scientific journals, and conferences, and industrial projects with focus on technology transfer to industry.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Among other research methodologies, Computational Fluid Dynamics (CFD) has gained popularity in the last decades due to the increase in computational power which has led to the appearance and development of supercomputers, such as the MareNostrum 5. For combustion applications, numerical tools based on Large Eddy Simulations (LES) have been demonstrated to provide reliable results for studying unsteady reactive flows in gas turbines. The combination of these tools with Artificial Intelligence (AI), which has undergone an exponential growth in the last years, presents an excellent opportunity to tackle the research needs for hydrogen and dual-fuel combustion. This project aims at developing models and analyzing combustion systems with CFD-LES and AI, mostly with methods based on machine learning such as Principal Component Analysis (PCA) and deep neural networks, for such applications.
The applicant will join the Propulsion Technologies Group (PTG), a research group from the Computer Applications in Science and Engineering (CASE) Department at the Barcelona Supercomputing Center. As part of the PTG, the applicant will join a multidisciplinary team with background in advanced computational models for high fidelity simulation of energy conversion systems. The PTG is actively involved in several European research-oriented for which results are disseminated in highly ranked scientific journals, and conferences, and industrial projects with focus on technology transfer to industry.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Key Duties
- Developing reduced-order models for the furnace using ML-based algorithms methods.
- Interact with industrial partners to identify the relevant data for model development.
- Assist on the integration of the Digital Twins for the furnace operation in real time.
Requirements
-
Education
- The candidate should hold a PhD Degree in Chemistry, Physics, Mechanical Engineering, or Aerospace with background in fluid mechanics and thermal systems.
-
Essential Knowledge and Professional Experience
- Knowledge of fluid mechanics and thermodynamics are expected.
- Solid background on data-driven methods and Artificial Intelligence
- General knowledge on computer science and programming languages such as Fortran, Python, C, and C++
-
Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.
- Basic knowledge of HPC
-
Competences
- Ability to work in a team and in a multi-cultural environment.
- Strong analytical skills.
- Ability to work independently and within a team.
Conditions
- The position will be located at BSC within the CASE Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance
- Duration: 4 years
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: 45.00,00€
- Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
- Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024
Applications procedure and process
All applications must be submitted via the BSC website and contain:
- A full CV in English, including contact details.
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link