海洋可再生能源博士:气候变化下能源与社会影响

PhD Position in Marine Renewables: Energy and Societal Impacts under Climate Change
原始招聘页面

用数字孪生与气候情景建模海洋能源系统与社会影响

0.02
面试概率评分
核心匹配 0.06
项目相关性 0.05
关键技能覆盖 0.05
形式资格 0.10
偏好加分 0.00
关键缺口 失格
硬性条件不满足:The JD explicitly requires an MSc in Civil, Mechanical, Electrical Engineering or a closely related field plus demonstrated expertise in Energy System Modelling (ESM) and Integrated Assessment Models (IAM). A biomedical background does not satisfy the required degree field and provides no basis for the mandated ESM/IAM competency.
评分理由
The position sits squarely in computational climate and energy-systems modelling, requiring ESM/IAM development, HPC-scale CMIP dataset analysis, and Python/MATLAB workflows, none of which a biomedical applicant's training supplies. The core experimental platform is a fundamentally different research paradigm (wet-lab/life sciences vs numerical Earth-system modelling), so there is essentially no methodological bridge to the project. Combined with the explicit degree-field requirement, this is a disqualifying mismatch rather than a learnable biology gap. · 迁移评估:Non-transferable — biomedical wet-lab/experimental paradigms do not map onto computational climate-energy system modelling (ESM/IAM, CMIP, HPC).
机构
Delft University of Technology
地点
— · NL
类型
博士生
截止
2026-11-01
资助
funded
来源
🎓 Delft University of Technology
软性注意
  • 优先考虑具备 CMIP 数据集与气候情景知识者
  • 优先考虑有海洋可再生能源在 ESM 中应用经验者
  • 需具备 MSc 学位(土木/机械/电气或密切相关领域),跨专业背景可能不被接受
  • 要求具备 ESM 与 IAM 的实证经验,缺乏能源系统建模经验者竞争力弱
  • 要求 HPC 与大规模数据集分析经验
  • 需搬迁至荷兰并接受知识安全风险评估
数据完整(5/5),可生成高质量材料
PI 信息
主导师 George Lavidas 直接提取
身份 已确认 A5046634596
院系 Marine Renewable Energies Lab, Offshore Engineering Section, Department of Hydraulic Engineering, Faculty of Civil Engineering and Geosciences, TU Delft
联系邮箱 g.lavidas@tudelft.nl
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PI 近期论文(10 篇)
标记为「重要」或「很重要」的论文会进入 MV/CV 生成上下文;「一般」和「忽略」不进入。每次生成都读取最新标记。
[2026] Mixed Wave Energy arrays, re-thinking wave array configurations: A hydrodynamics based approach 通讯作者
Vaibhav Raghavan · Andrei V. Metrikine · George Lavidas
[2026] Uncertainty and Sensitivity in Wave Energy Converter Arrays: Sparse Polynomial Chaos Expansion of Layout–PTO–Wave Effects 通讯作者
Avni Jain · Jian Tan · George Lavidas
[2026] Assessing the Performance of Arrays of Two Body Hinged Attenuator WECS 通讯作者
Vaibhav Raghavan · ... · George Lavidas
[2025] Marine renewables in Energy Systems: Impacts of climate data, generators, energy policies, opportunities, and untapped potential for 100% decarbonised systems 第一作者
George Lavidas · ... · Vaibhav Raghavan
[2025] BIEM求解器HAMS-MREL新 通讯作者
Theory and validation of the new features in BIEM solver HAMS-MREL
Vaibhav Raghavan · Andrei V. Metrikine · George Lavidas
待分析
[2025] Tidal stream energy in the Netherlands—Resource assessment and future effects due to mean sea level rise 通讯作者
Sijbrand Bolhuis · Matias Alday G. · George Lavidas
[2025] 波浪谱表示对点吸收式波浪能发电场产量估算的影响 通讯作者
Influence of the wave spectrum representation on production estimations from point absorbers WEC farms
Matias Alday G. · Vaibhav Raghavan · George Lavidas
[2025] Additional features in HAMS-MREL: a new open-source BIEM solver for offshore energy applications 通讯作者
Vaibhav Raghavan · Andrei V. Metrikine · George Lavidas
[2025] Exploring the hydrodynamics of Mixed Wave Energy farms 通讯作者
Vaibhav Raghavan · Andrei V. Metrikine · George Lavidas
[2025] 基于 通讯作者
A study on wave energy converter arrays using data-driven polynomial chaos expansion.
Avni Jain · ... · George Lavidas
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职位描述 / 要求

职位描述

Join TU Delft to model the future ocean. Work on Digital Ocean Twins and climate scenarios shaping marine energy and coastal resilience across Europe. Job description Climate change is transforming our oceans: reshaping wave climates, marine renewable energy potential, and coastal systems. This PhD position offers a unique opportunity to contribute to this challenge by working on resilient future energy systems and their societal impacts under Climate Change (EU-INTERCHANGE, EU-FUSION), led by Dr George Lavidas. As a PhD candidate, you will join the Marine Renewable Energies Lab at TU Delft and work within an interdisciplinary and international research team. Your work will focus on high-fidelity Energy System Modelling (ESM), and the development of coupled pwathway frameworks for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios, to assess their future implications on energy systems and societal indicators (such as GDP, etc). Your research will include developing new modules in ESM, IAM and active coupling between them, comprehensive econometric analysis and development of pathways based on what-if scenarios. A key component of your work will be integrating these insights into the European Digital Ocean platform (EDITO). You will collaborate closely with academic and industry partners across Europe, contributing to joint research activities and project deliverables. In addition to your research, you will: Contribute to the coordination of project activities and ensure timely delivery of milestones. Publish in leading scientific journals and present at international conferences. Engage with project partners through reporting and collaboration. Support the supervision of MSc students, and assist in teaching. We are looking for a researcher who can work both independently and collaboratively, with strong organisational and communication skills, and a proactive approach to research and teamwork. You will be part of the Marine Renewable Energies Lab, a dynamic group of researchers working at the forefront of Marine Renewables within the Offshore Engineering Section of the Department of Hydraulic Engineering at TU Delft. The lab is known for its interdisciplinary approach and strong links to European research initiatives. Through this role, you will also collaborate with colleagues from Coastal Engineering, contributing to advancing marine renewable energy and coastal resilience in the face of climate change. Job requirements Required: An MSc in Civil Engineering, Mechanical, Electrical, or a closely related field. Demonstrated expertise in ESM and IAM. Experience with High Performance Computing (HPC) and large-scale dataset analysis. Strong programming skills (e.g. Python, MATLAB) and familiarity with FAIR open source practices. Excellent command of English (written and spoken). Preferred: Knowledge of CMIP datasets and climate scenarios Experience with marine renewable energy applications in ESM Personal profile: Ability to work both independently and collaboratively within interdisciplinary teams. Strong organisational skills and a proactive approach to research. Interest in application-driven research with real-world impact. Enthusiasm for sharing research through scientific publications, conferences, and broader outreach. Comfortable working in an international research environment and collaborating with external partners. TU Delft (Delft University of Technology) Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty of Civil Engineering and Geosciences The Faculty of Civil Engineering & Geosciences (CEG) is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. Our research feeds into our educational programmes and covers societal challenges such as climate change, energy transition, resource availability, urbanisation and clean water. Our research projects are conducted in close cooperation with a wide range of research institutions. CEG is convinced of the importance of open science and supports its scientists in integrating open science in their research practice. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3204 - €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. Additional information For more information about this vacancy, please contact Dr. George Lavidas email: g.lavidas@tudelft.nl . Please apply via the website of TU Delft, unsolicited emails will not be considered or answered. Application procedure Are you interested in this vacancy? Please apply no later than 1 November 2026 via the application button and upload the following documents: Motivation letter (1 pages): convince us why you are suited for this position: what attracts you?; how do your knowledge and skills match with the position (and where not)? What is your ambition, and how does this position fit in? Curriculum Vitae - extensive with list of publications and prior activities. Applicants selected for an interview will be asked to provide contact information of at least 2 references. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements . Please note: You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security. Please do not contact us for unsolicited services. Faculty/Department: Faculty of Civil Engineering and Geosciences Salary range: €3204 - €4051 Hours per week: 32-38 FTE: 1,0 Submission is possible until: 1 Nov 2026 ID job: 3904 Apply now »

职位要求

Required: An MSc in Civil Engineering, Mechanical, Electrical, or a closely related field. Demonstrated expertise in ESM and IAM. Experience with High Performance Computing (HPC) and large-scale dataset analysis. Strong programming skills (e.g. Python, MATLAB) and familiarity with FAIR open source practices. Excellent command of English (written and spoken). Preferred: Knowledge of CMIP datasets and climate scenarios Experience with marine renewable energy applications in ESM

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