Exploring Strategies for Data-Driven Motion Control of Multi-Modal Actuators in Synchrotron Experimentation

Challenged by the tremendous increase in photon flux provided at next-generation synchrotron facilities, instrumentation must keep up with significantly increased acquisition speeds by developing fundamentally new control strategies. This project focuses specifically on novel approaches to motion control in scientific synchrotron instrumentation by exploring new pathways opened up by combining groundbreaking advancements in electronics and data-driven approaches in mechatronics. It addresses practical experimental challenges that occur in numerous science-driven use-cases by studying possibilities of modern embedded system engineering (including embedded machine learning (ML) and artificial intelligence (AI) in general) from a computer and data science point of view. Specific problems to be addressed are the dynamics of multi-modal actuators commonly found at experimental end stations of synchrotron beamlines and continuous (non-stop) motions with simultaneous data acquisition. AI-based real-time feedback into ongoing multi-axes, trajectory-based motion control will be employed for in-depth studies of the dynamics of heterogenous electromechanical systems. The latter specifically addresses the multi-modal actuators mentioned above, combining nanometric piezo positioners to position samples of a few grams and undulator gap control, moving tons of equipment in the accelerator tunnel. Using DESY’s leading position in the development and design of MicroTCA components, a modular electronics standard that enables high-performance, reliable data processing, and control operations at large-scale scientific research facilities and in industry is to be established. We envision that this project supports the PETRA VI mission of providing world-class instrumentation.

Requirements:

• Master's degree in computer science, electrical or control engineering, mechatronics, or related fields with a final European Credit Transfer and Accumulation System (ECTS) grade of B (American Grading System: Grade Point Average of at least 3.0 or at least Letter Grade B / German Grading System: grade of at least 2.0) 
• fluent in at least one high-level programming language (Python or C++), basic knowledge of VHDL
• experience in / knowledge of
  • fundamentals of machine learning
  • control theory
• experience in at least two of the following fields:
  • proven skills in software and firmware development for embedded devices
  • first experiences with EtherCAT and/or MicroTCA and/or Yocto Linux
  • experience in Motion Control and/or Kinematics and/or Robotics
  • developing abstractions in control systems (e.g., ROS, EPICS, TANGO or DOOCS)
  • knowledge of Synchrotron Beamline Instrumentation and therein applied Data Acquisition Strategies
• interest in working at interfaces between physics, electrical and control engineering as well as computer science 

Position:

• Deutsches Elektronen-Synchrotron DESY
• 75% EGR. 13 (TVöD) position for three years

At DESY, gender equality is an important aspect. To support work-life balance, we offer flexible working hours, variable part-time, job-sharing models, and participation in mobile work (up to 50%).

DESY promotes equal opportunities and diversity. The professional development of women is very important to us. Therefore, we strongly encourage women to apply for the vacant position.

Applications from severely disabled persons will be given preference if they are equally qualified (sbv.desy.de).