BEMÆRK: Ansøgningsfristen er overskredet
The Faculty of Engineering – University of Southern Denmark (SDU), renowned for its pioneering research and innovative educational approaches, is home to the dynamic Centre for Industrial Mechanics (CIM). The center is an integral part of the Department of Mechanical and Electrical Engineering, situated in the vibrant city of Sønderborg. Together, they form a hub of technological advancement and interdisciplinary collaboration, dedicated to solving the complex challenges of today's rapidly evolving engineering landscape. In line with our commitment to excellence and our mission to contribute to sustainable solutions for the future, we are excited to announce an open call for a distinguished PhD student position in mechanical engineering, with a focus on Power-to-X technologies.
The selected candidate will embark on a research journey within a supportive and resource-rich environment, characterized by state-of-the-art facilities and a network of leading academics and industry professionals. We are looking for a passionate and driven individual who is ready to delve into innovative research projects, aiming to push the boundaries of mechanical engineering. The starting date for this position is flexible, with a preference for August 2024, allowing the successful applicant to integrate smoothly into our academic calendar and commence their research activities at an optimal time.
The application deadline is 30 April 2024 at 23.59 (CET/CEST)
Unique opportunity
Centre for Industrial Mechanics, a newly established centre, focuses on mechanics integrated with mechatronics. This presents a unique opportunity for you to be part of the Centre's inception and to influence its development directly. We are currently developing a mechanical engineering degree program and constructing labs to support both educational activities and research.
Workplace description
The Department of Mechanical and Electrical Engineering at SDU is dedicated to a broad spectrum of research and education, from fundamental principles to engineering applications, with all courses conducted in English to accommodate the international composition of students and staff. Centre for Industrial Mechanics, situated within the Alsion building on SDU's picturesque Sønderborg campus, acts as a hub for science, culture, and learning. The centre benefits from SDU’s strong industry connections in Southern Denmark and Northern Germany, including collaborations with leading companies in sectors like e-mobility, automation, climate solutions, and energy efficiency.
Research at the Centre encompasses a diverse array of fields such as cyber-physical systems, mechanical structure integrity, renewable energy systems, artificial intelligence, and mechatronic prototyping, conducted by teams of scientists and support staff. The ideal PhD candidate will be expected to engage in high-quality research, contribute to international conferences, publish in reputable journals, and participate in selected teaching activities, demonstrating a strong ambition and commitment to advancing the field.
Project Description
The PhD project aims to explore the integration of PtX technologies into district heating networks (DHNs) from multiple perspectives. This comprehensive project is structured around four primary objectives:
- Objective 1: Firstly, delve into the physics of electrolyzers, then assess the technical viability and efficiency of harnessing waste heat from these technologies for integration into district heating networks, utilizing system design and experimental validation.
- Objective 2: To design and validate a dedicated software tool for simulating DHNs, with a focus on integrating emerging PtX technologies. This software will facilitate in-depth analysis of economic dispatch, optimize investments, and model energy flows, thereby supporting strategic planning and operational efficiency in DHNs.
- Objective 3: This objective aims to assess the economic viability and environmental advantages of integrating waste heat from PtX projects into DHNs. This analysis will cover the dynamics of heat pricing and its impact on providers and consumers, evaluate the cost savings, necessary investments, and payback periods across stakeholders, and quantify the reduction in greenhouse gas emissions.
- Objective 4: This objective focuses on utilizing machine learning (ML) to enhance demand forecasting, optimize system operations, and comprehend market dynamics in DHNs. It includes creating ML models that can accurately predict heating demand by considering factors like weather, consumer behavior, and economic indicators. Furthermore, it involves applying optimization algorithms to identify the most efficient and cost-effective strategies for waste heat recovery and distribution. Lastly, it entails analyzing market dynamics to uncover opportunities and challenges associated with integrating PtX projects into the energy market, including understanding regulatory impacts and market acceptance.
Funding
This PhD position is generously funded through the Villum Young Investigator program, under the project title "DDPTX: Deciphering the Dynamics of Power-to-X Systems." This funding is provided by VILLUM FONDEN, a prestigious foundation known for its support of scientific research and innovation. The Villum Young Investigator grant signifies a commitment to advancing knowledge and innovation in the field of Power-to-X systems. It provides a robust support structure for the PhD candidate to undertake ambitious research aimed at deciphering the dynamics of PtX systems, contributing to sustainable energy solutions and environmental stewardship.
Duties of the position
- Conduct Research: Undertake rigorous research within the scope of the project, focusing on the integration of PtX technologies into DHNs. This involves both theoretical and applied research, including modeling, simulation, and analysis.
- Conducting Experiments for Waste Heat Recovery Systems: Design, set up, and conduct experiments related to waste heat recovery systems from PtX technologies for integration into DHNs.
- Develop Models and Software Tools: Design and implement models and simulation software tools tailored for analyzing the technical, economic, and environmental aspects of PtX integration into DHNs. This includes coding, testing, and validating the models/software to ensure accuracy and reliability.
- Data Analysis and Machine Learning: Collect, process, and analyze data relevant to the project. Apply machine learning algorithms to predict demand, optimize energy systems, and assess market dynamics. Interpret and synthesize findings to inform project outcomes.
- Publish Research Findings: Prepare and submit research findings for publication in peer-reviewed journals and present work at relevant conferences, workshops, and seminars. This will involve writing high-quality research papers, abstracts, and presentations.
- Collaborate with Project Stakeholders: Work collaboratively with project team members, including academic supervisors, other PhD candidates, and external partners (such as industry stakeholders and regulatory bodies). Participate in meetings, share insights, and contribute to the collective goals of the project.
- Participate in Training and Development: Engage in training and professional development opportunities relevant to the project and the candidate’s research interests. This may include attending workshops, seminars, and courses to enhance research skills, technical abilities, and soft skills.
- Contribute to Teaching and Supervision: Assist in teaching activities related to the candidate’s field of study, such as conducting tutorials, supervising undergraduate or master's projects, and contributing to course development, as per the department’s requirements.
- Engage with the Scientific Community: Actively participate in the scientific community by attending conferences, workshops, and seminars. Network with researchers and professionals in the field to enhance the project’s visibility and foster collaborations.
- Report Progress: Regularly report research progress to supervisors and project stakeholders. This includes preparing progress reports, attending project meetings, and providing updates on milestones, challenges, and achievements.
The candidate
The ideal candidate for this PhD position must possess the following qualifications and attributes:
- Educational Background: A master’s degree in engineering (Mechanical or Electrical Engineering, Energy Engineering, Chemical Engineering, or any other relevant Engineering disciplines), with a strong academic record.
- Technical Expertise: Demonstrated experience in one or more of the following areas: energy systems modeling, simulation software development, machine learning algorithms, waste heat recovery technologies, or experimental techniques related to energy systems. This includes proficiency in designing, conducting, and analyzing experiments for waste heat recovery systems, as well as a solid understanding of the principles behind these systems. Familiarity with Power-to-X (PtX) technologies and district heating networks (DHNs) is highly desirable. The candidate should be capable of integrating experimental findings with simulation models to validate and enhance the accuracy of energy system analyses.
- Research Skills: The candidate should be skilled in quantitative analysis, have a strong foundation in statistical methods, and be proficient in the use of software tools relevant to energy systems analysis and modeling.
- Programming Proficiency: Strong programming skills in languages such as Python, MATLAB, R, or similar, are essential. Experience with software development for simulation tools or machine learning model implementation would be a significant advantage.
- Analytical Thinking and Problem-Solving: The candidate must have excellent analytical skills, with the ability to think critically and solve complex problems. A creative approach to integrating technical, economic, and environmental considerations in research is required.
- Communication Skills: Outstanding written and verbal communication skills, with the ability to articulate research findings clearly and concisely to both academic and non-academic audiences. Proficiency in English is mandatory.
- Teamwork and Collaboration: Ability to work effectively both independently and as part of a multidisciplinary team. The candidate should have a collaborative spirit, ready to engage with other researchers, industry partners, and stakeholders.
- Motivation and Commitment: A high level of motivation, discipline, and commitment to pursuing research at the PhD level. The candidate must be passionate about contributing to the advancement of sustainable energy solutions and have a genuine interest in the project’s objectives.
- Adaptability and Learning: Willingness to learn new skills, adapt to new technologies, and stay updated with the latest research developments in the field. The candidate should be open to receiving feedback and incorporating it into their work.
- Fulfill the requirements of the PhD school at the Faculty of Engineering.
Please view the full job posting and apply for the position on our website: https://www.sdu.dk/en/om_sdu/ledige_stillinger
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Sønderborg Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Syddansk Universitet, Alsion, 6400 Sønderborg
-Ansøgning:
Ansøgningsfrist: 30-04-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/6015519
