PhD position
vor 1 Woche
Your Job:Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (, GPU acceleration) and assess the applicability domain of learned algorithms Publish and present your results in peer-reviewed journals and at international conferences Supervise student thesesYour Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language (Python, Julia, C++, …) Good analytical skills Good organizational skills and ability to work both independently and collaboratively Effective communication skills and an interest in contributing to an international and interdisciplinary team Working proficiency in English for daily communication and professional contextsOur Offer:We offer ideal conditions for you to complete your doctoral degree: Pursue a doctoral degree at RWTH Aachen University (Faculty for Mechanical Engineering) under the supervision of Prof. Alexander Mitsos Excellent scientific and technical infrastructure A highly motivated group as well as an international and interdisciplinary working environment at one of Europe’s largest research establishments Continuous scientific mentoring by your scientific advisors (Prof. Alexander Mitsos, Prof. Uwe Naumann, Dr. Manuel Dahmen) Participate in international conferences Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) Further development of your personal strengths, , via a comprehensive further training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: 30 Days of annual leave and flexible working arrangements, including partial remote work Targeted services for international employees, , through our International Advisory Service The position is limited to three years, with a possible one-year extension. Pay is in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“). The monthly salaries in euro can be found on the BMI website:
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PhD Position
Vor 2 Tagen
Jülich, Nordrhein-Westfalen, Deutschland Forschungszentrum Jülich VollzeitYour Job:We are looking for a PhD student in machine learning to work within a project linked to the "Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)".Your Job:Develop physics-aware simulations of growing cell populations, including their spatiotemporal manipulation in microfluidic environmentsDesign and implement reinforcement learning...
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PhD Position
vor 1 Tag
Jülich, Nordrhein-Westfalen, Deutschland Forschungszentrum Jülich VollzeitYour Job:We are looking for a PhD student in machine learning to work within a project linked to the "Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)".Your Job:Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacksInvestigate instance and panoptic segmentation for...
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PhD Position
vor 21 Stunden
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:The PhD position is offered in the context of the HDS-LEE graduate school. We are looking for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key...
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Jülich, Nordrhein-Westfalen, Deutschland European Geosciences Union (EGU) VollzeitSome features of our web site require JavaScript to function properly. Please enable JavaScript in your browser.PositionOpen positions PhD/PostDoc in project "The Tropopause Region in a Changing Atmosphere - TPChange"EmployerJGU Mainz, GU Frankfurt, TU Darmstadt, LMU Munich, MPIC Mainz, FZ Jülich and DLRParticipating institutions areJGU - Johannes Gutenberg...
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Several PhD positions
vor 20 Stunden
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:You will work as a doctoral researcher within one of four interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to...
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PhD Position
vor 2 Wochen
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform...
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PhD position
vor 2 Wochen
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include:...
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Phd Position
vor 1 Tag
Jülich, Deutschland Forschungszentrum Jülich Vollzeit**Your Job**: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich. Cryo-EM has become a very powerful method to visualize ice-embedded samples including purified proteins at close to atomic resolution. Typically,...
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Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:The concept of Local Energy Communities (LECs) — where people, businesses, and local infrastructure share and manage energy collectively — is reshaping how energy is produced and consumed. Recognized by the EU as a cornerstone of the Clean Energy Transition, LECs empower local actors to participate actively in energy markets, support renewables,...
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PhD Position
vor 2 Wochen
Jülich, Deutschland Forschungszentrum Jülich VollzeitYour Job:This project uses numerical simulations to determine the relative importance of the presence of interstellar objects (ISOs) in the interstellar medium. Specifically, the various formation process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific...
