Phd Researcher: Control And Task Planning For Advanced Manufacturing With Domain
School :
School of Engineering
Starting date :
January 2025 or by mutual appointment
Your role
Advanced manufacturing refers to a set of technologies and methods incorporated in manufacturing with the goal to improve its adaptivity and sustainability, to achieve the flexibility needed for the production of individual parts.
Still, the challenges of standard manufacturing remain. Methods for improving adaptivity in the presence of drifts and different production scenarios are of high importance in achieving the goals of advanced manufacturing.
Our research aims to develop novel methods at the intersection of data-driven optimization, manufacturing science, and machine learning, to improve adaptivity by incorporating robustly expert feedback and preferences.
We are looking for a motivated PhD student to contribute to this effort. We will explore methods to incorporate preferences based on reinforcement learning and data-driven optimization, as well as on constrained optimization.
Furthermore, the connection between expert preferences in text form and underlying control actions will be studied. The methods will be demonstrated on robotic systems available in our lab.
Your goal will be to translate your own research ideas to tackle these challenges, in close collaboration with our interdisciplinary team.
As part of this process, you will support our bachelor, and master students, publish in scientific journals, contribute to our teaching efforts, and participate in conferences.
You will closely communicate with academic and industry partners.
The position is supported by NCCR Automation and offers excellent opportunities for national and international collaboration with academic and industrial partners.
The position offers a good opportunity for the development of coordination and project management skills, PhD student supervision, and leadership skills.
The position is hosted at the ZHAW Centre for AI, jointly supervised by Dr. Alisa Rupenyan (endowed professorship for Industrial AI at ZHAW Centre for AI), Prof.
Dr. John Lygeros (heading the Automatic Control Laboratory at ETH Zurich), and Dr. Efe Balta (group leader for Advanced control and automation at inspire AG).
ETH Zurich rules for doctoral admission apply.
Your profile
You are highly motivated and dedicated with a recognized master degree in electrical, mechanical or industrial engineering, or machine learning / AI with exposure to control systems / theory, and a focus on optimization, data-driven methods for optimization and control, or probabilistic AI.
You have some experience in setting up or working with robotics / autonomous systems in research labs. Programming, modelling, and data analysis skills in Python, C++, and ROS will support you in contributing to our ongoing software development efforts.
You are autonomous and interested in participating and managing large-scale collaboration projects. We expect fluent English knowledge, and German could be beneficial.
This is what we stand for
Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff.
The School of Engineering (SoE) , as one of the leading edu-cational and research institutions in Switzerland, focuses on topics relevant to the future.
14 institutes and centres guarantee high-quality education, research and development with a focus on the areas of energy, mobility, information and health.
The Centre for Artificial Intelligence (CAI) is a Center of Excellence at ZHAW and maintains a growing number of research groups in various domains.
The Industrial AI group (https : / / www.zhaw.ch / en / engineering / institutes-centres / cai / industrial-artificial-intelligence-group / ) specializes in research for the improvement and automa-tion of complex manufacturing systems, combining methods from robotics, AI, and control systems.
We are looking for a deeply interested, technically skilled personality. Please honor us with a tailored cover letter and highlight facts that underline your suitability for this position, transcripts of grades from (some of) your degrees, and 2 reference contacts.
We are looking forward to hearing from you!
ZHAW is committed to gender-mixed and diverse teams in order to promote equality, diversity and innovation.
What you can expect
We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions.
A detailed description of advantages and benefits can be found at Working at the ZHAW . The main points are listed below :
Contact
Dr. Alisa Rupenyan
Head of Industrial AI group
Tanja Schmid
Recruiting Manager
jid8064e06a jit1147a
PhD researcher: Control and task planning for advanced manufacturing with domain knowledge and expert feedback (100 %)
You are highly motivated and dedicated with a recognized master degree in electrical, mechanical or industrial engineering, or machine learning/AI with exposure to control systems/theory, and a focus on optimization, data-driven methods for optimization and control, or probabilistic AI. Programming,...
Postdoctoral Researcher for Data Science in Spinal Cord Injury
Communicate with clinical experts regarding the requirements for an online recovery exploration platform and the design and evaluation of clinical trials in the context of traumatic SCI. Lead the implementation, training and benchmark of state-of-the-art data science pipelines to characterize the la...
PhD Researcher in Identification for Circular Construction
Collaborate with interdisciplinary team members to develop and implement digital solutions for large-scale reuse of building materials. Conduct research on digital inventory methods for building stock in circular construction, focusing on methods to capture relevant parameters to assess buildings co...
2 PhD Positions in Designing and Optimizing Materials for Bacterial-Based Sustainable Biopesticide Delivery Systems
The biofilms formed by the bacteria of interest will serve as an inspiration for the sprayable gel and will be characterized at the bulk and microscale using a combination of bulk rheology and microfluidics. They show enthusiasm for conducting original research in an interdisciplinary and internatio...
Postdoctoral Researcher: Combining Ai, Adaptive Control, And Digital Twins To Op
You are highly motivated and dedicated with a doctoral degree in electrical, mechanical or industrial engineering, robotics, or in related topics in machine learning / AI, and a focus on optimization, data-driven methods for optimization (Bayesian optimization) and control. Optimization of manufactu...
PhD position in nonlinear laser spectroscopy on novel types of ferroic order and domains
Candidates design and set up the workplace for their nonlinear-optical experiments. You have hands-on experience with class-IV lasers and related techniques. Outstanding lab facilities with several femtosecond and nanosecond laser systems. In line with to find out how we ensure a fair and open envir...
PhD position in Hybrid Cavity Quantum Electrodynamics with Ge semiconductor QDs and high impedance superconducting resonators
Fabricating superconducting and semiconducting devices, with the potential to collaborate with other teams within the research groups. Regular interactions with theory collaborators, both within Switzerland and internationally, will be integral to your research activities. Conducting advanced microw...
Postdoctoral researcher: Combining AI, adaptive control, and digital twins to optimize autonomous systems 80 - 100%
You are highly motivated and dedicated with a doctoral degree in electrical, mechanical or industrial engineering, robotics, or in related topics in machine learning / AI, and a focus on optimization, data-driven methods for optimization (Bayesian optimization) and control. You are experienced as a ...
Postdoctoral researcher in traffic control for smart cities
As our research progresses, we envision the real-world deployment of our results together with our partners in cities and municipalities to enhance their traffic landscape and sustainably meet their current and future transportation needs. You are experienced as a researcher with an active interest ...
Postdoctoral position on the control of hydrogen/air flames with plasma
You are expected to have a PhD degree in Mechanical Engineering with excellent track records in experimental combustion and an experience with plasma-assisted combustion. We are looking for highly motivated, committed, and creative individuals, able to work in a team and with excellent communication...