Postdoctoral Researcher in AI-driven Surrogate Modeling for Manufacturing Process Optimization

vor 1 Woche


Zürich, Schweiz EURAXESS Czech Republic Vollzeit

Organisation/Company ETH Zürich

Research Field Computer science » Programming

Research Field Computer science » Other

Researcher Profile Recognised Researcher (R2)

Country Switzerland

Application Deadline 21 Apr 2025 - 21:59 (UTC)

Type of Contract Temporary

Job Status Full-time

Hours Per Week 41

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Postdoctoral Researcher in AI-driven Surrogate Modeling for Manufacturing Process Optimization

Are you passionate about applying artificial intelligence to revolutionize traditional manufacturing processes? We are looking for a talented and motivated postdoctoral researcher to join our multidisciplinary team, working at the intersection of AI and mechanical engineering. In this exciting role, you will contribute to the development of innovative AI-based surrogate models that significantly accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations.

This position offers the opportunity to work with leading experts, access state-of-the-art computational resources, and contribute to high-impact research that bridges academia and industry. If you have a strong background in AI, machine learning, and a keen interest in real-world applications, we encourage you to apply and be part of this exciting journey.

Project Background

Manufacturing process optimization is a critical challenge in the modern industrial landscape, particularly in high-precision industries such as aerospace, automotive, and energy. Current methodologies in processes like forging rely heavily on computationally expensive simulations based on Smoothed Particle Hydrodynamics (SPH) or Finite Element Method (FEM), which require significant computational resources and expert knowledge. These traditional methods lead to prolonged development cycles and increased costs. The demand for rapid and accurate process optimization solutions is increasing, driven by the need to reduce time-to-market and production costs while maintaining high-quality standards.

This project aims to develop a novel AI-driven solution to revolutionize forging process optimization by leveraging surrogate modeling techniques. The objective is to create an AI-based tool that can:

  1. Accurately simulate forging processes in milliseconds instead of hours
  2. Predict optimal process parameters with high accuracy
  3. Reduce dependency on expensive simulations based on SPH or FEM
  4. Design and implement data augmentation techniques to enhance model performance
  5. Implement efficient parametrization methods for geometries and workpiece properties such as temperature or strain
  6. Develop and optimize AI-based surrogate models for manufacturing processes
  7. Develop a user-friendly graphical interface (GUI) for interaction with the AI model, including real-time analytics and visualization
  8. Prepare manuscripts, reports, and presentations to disseminate findings
  9. Maintain thorough documentation of model development and project progress
Profile

Required

  1. PhD in Computer Science with a focus on AI
  2. Proficiency in Python programming
  3. Strong expertise in machine learning and deep learning frameworks (especially PyTorch)
  4. Demonstrated ability to work independently and as part of a multidisciplinary team
  5. Excellent written and verbal communication skills (Proficiency in English; German is a plus)

Preferred

  1. Basic familiarity with FEM and SPH
  2. Knowledge of manufacturing processes, especially forging
  3. Experience with computer graphics concepts such as implicit modeling, mesh processing, or CAD-related tasks
  4. Familiarity with reinforcement learning
We Offer

The open position is in the Advanced Manufacturing Laboratory (Prof. Dr. Markus Bambach) within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zurich in Zurich, Switzerland.

We offer a 2-year project-based contract starting in Spring/Summer 2025 that includes:

  1. Opportunities to engage with different communities bridging machine learning and mechanical engineering leading to high-impact publications
  2. You will be part of a highly motivated, multidisciplinary, and collaborative team
  3. We will support your scientific career and application for postdoctoral fellowships on your path towards scientific leadership
  4. Access to state-of-the-art computational resources and collaborative research networks
  5. Opportunities for professional development and career advancement
Application Process

We look forward to receiving your online application with the following documents:

  1. A letter of motivation (1-page max)
  2. CV
  3. PhD diploma

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about our lab can be found on the website. Questions regarding the position should be directed to Dr. Jan Petrik, by email at jan.petrik@ethz.ch (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specializing in science and technology. We are renowned for our excellent education, cutting-edge fundamental research, and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

#J-18808-Ljbffr

  • Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Postdoctoral Researcher in AI-driven Surrogate Modeling for Manufacturing Process OptimizationAre you passionate about applying artificial intelligence to revolutionize traditional manufacturing processes? We are looking for a talented and motivated postdoctoral researcher to join our multidisciplinary team, working at the intersection of AI and mechanical...


  • Zürich, Schweiz NZZone Vollzeit

    Are you passionate about applying artificial intelligence to revolutionize traditional manufacturing processes? We are looking for a talented and motivated postdoctoral researcher to join our multidisciplinary team, working at the intersection of AI and mechanical engineering. In this exciting role, you will contribute to the development of innovative...


  • Zürich, Schweiz TN Switzerland Vollzeit

    Social network you want to login/join with:Client:ETHLocation:Job Category:ManufacturingJob Reference:91414af1125cJob Views:10Posted:21.01.2025Expiry Date:07.03.2025Job Description:We are looking for motivated postdoctoral researchers to contribute to this effort. The envisioned research will address:Lifelong learning and adaptation using digital twins for...


  • Zürich, Zürich, Schweiz Takeda Vollzeit

    Job DescriptionTakeda is seeking an experienced expert in advanced process modeling and control to drive strategic initiatives and improve manufacturing processes. The ideal candidate will have a strong background in developing and deploying process models, leveraging digital platforms and data infrastructure to enhance unit-operation analytics.About the...


  • Zürich, Schweiz Takeda Pharmaceutical Vollzeit

    About the Role As the Advanced Process Control Engineer, you will be responsible for driving control strategy initiatives by developing and deploying advanced process models, leveraging digital platforms and data infrastructure to enhance unit-operation analytics for forecasting, soft-sensing, and simulation. You will manage the lifecycle of these models,...


  • Zürich, Zürich, Schweiz Takeda Vollzeit

    Key ResponsibilitiesThe Advanced Process Modeling Expert will be responsible for:Developing and implementing advanced process models tailored to product-specific manufacturing unit operations.Leveraging digitizable numerical models (mechanistic, hybrid, and statistical/machine learning) for soft-sensing, forecasting, and simulation.Ensuring ongoing...


  • Zürich, Schweiz Takeda Vollzeit

    By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job...


  • Zürich, Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Company OverviewEidgenössische Technische Hochschule Zürich (ETH Zurich) is one of the world's leading universities specializing in science and technology. We offer an excellent environment for research and education, fostering independent thinking and promoting excellence.Job SummaryAs a Postdoctoral Research Fellow in Artificial Intelligence for Medical...


  • Zürich, Zürich, Schweiz ETH get hired Vollzeit

    Job DescriptionThe research group of Prof. Simonov is looking for a highly motivated postdoctoral researcher with expertise in either computational materials science or experimental crystallography.The project focuses on understanding and modeling disorder in single crystals using advanced diffraction and computational methods.


  • Zürich, Schweiz Karlstad University Vollzeit

    Postdoctoral Researcher in Tectono-Geomorphic Processes and Mountain BiodiversityETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.The Laboratory of Ecosystems and Landscape Evolution at ETH Zurich is looking for candidates to fill a post-doctoral position as...


  • Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Postdoctoral Researcher in Industrial RoboticsThe Industrial Robotics Group at ETH Zürich is rapidly growing and focuses on pressing challenges in robot-based manufacturing. Utilizing advanced computational methods, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry.Project BackgroundWe foster...


  • Zürich, Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Benefits and PerksAs a Senior AI Engineer for Biomedical Research, you will be part of a highly motivated and collaborative team driving innovation in biomedical applications of AI. Our state-of-the-art computational resources and collaborative research networks provide a unique opportunity for professional growth and career advancement.Key...


  • Zürich, Zürich, Schweiz Takeda Vollzeit

    OverviewTakeda is a leading biopharmaceutical company dedicated to delivering high-quality medicines that make a difference in people's lives. We are seeking an experienced professional to join our team as an Advanced Process Modeling Expert.This role will play a critical part in driving strategic initiatives and improving manufacturing processes through the...


  • Zürich, Schweiz ETH get hired Vollzeit

    ETH Zurich is one of the world’s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice.Postdoctoral ResearcherThe Medical Data Science Research Group, led by Professor Julia Vogt at ETH Zurich,...


  • Zürich, Schweiz Karlstad University Vollzeit

    Postdoctoral Researcher in Electrification and Sector CouplingETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics of ETH Zürich investigates the...


  • Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Postdoctoral Researcher in Tectono-Geomorphic Processes and Mountain BiodiversityThe Laboratory of Ecosystems and Landscape Evolution at the ETH Zurich is looking for candidates to fill a post-doctoral position as part of the fully funded SNFS Consolidator project “Burgeon” aiming at understanding the connection between tectono-geomorphic processes and...


  • Zürich, Schweiz Startupticker Vollzeit

    Join Exeon as AI Research and Optimization Intern!Exeon is looking for two AI Research and Optimization Interns to join the team. See the details and apply here, we look forward to meeting you!Apply HereProject DescriptionExeon specializes in the automatic security monitoring of IT networks. Based on award-winning research at ETH Zurich, our next-generation...


  • Zürich, Zürich, Schweiz Takeda Vollzeit

    Job SummaryWe are seeking an experienced Advanced Process Modeling Expert to join our team at Takeda. As a key member of our operations team, you will be responsible for developing and implementing advanced process models to drive strategic initiatives and improve manufacturing processes.About the RoleThe successful candidate will have a strong background in...


  • Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

    Postdoctoral Researcher in Electrification and Sector Coupling The Group for Sustainability and Technology (SusTec) within the Department of Management, Technology, and Economics of ETH Zürich investigates the role of policy, technological innovation, and institutional and organizational strategies on the path to a decarbonized energy system and a circular...


  • Zürich, Zürich, Schweiz ETH get hired Vollzeit

    About the RoleAs a Postdoctoral Chemical Data Scientist, you will be responsible for contributing to the development of a system for automating and accelerating hit discovery in pharmaceutical research. You will work closely with other researchers within the Bode group and the wider ETH community, as well as the Synple Chem team.You will have the opportunity...