Ph.D. Positions in Advanced-Systems Engineering (# of pos: 21)

Updated: 2 months ago
Job Type: FullTime
Deadline: 01 Jul 2022

The Advanced-Systems Engineering PhD Program at the University of Bolzano trains researchers who focus on Mechanical and Manufacturing Systems, Automation and Electronic Systems and Computer Systems to carry out independent research in the areas of Advanced-Systems Engineering and to give them the opportunity to transfer and exchange knowledge with national and international research centers and industries.

The three-year PhD program focuses on the study and development of advanced and intelligent systems through an interdisciplinary approach that responds to recent technological developments (e.g., Cyber-Physical-Systems, Industry 4.0, Internet of Things) by integrating the disciplines of mechanical engineering, manufacturing engineering, information engineering and computer science. They are supported by specific skills in mathematics and artificial intelligence.

Ph.D. student projects pertain to the following research areas, which are actively pursued by research groups at UniBZ on a long-term basis, and are considered in the Ph.D. on Advanced-Systems Engineering:

Mechanical-and-Manufacturing-Systems Engineering

- Mechanical and Mechatronic Systems

- Advanced Manufacturing Technologies

- Mechanical Engineering Design and Optimization

- Production Systems and Management,

- Smart Factory

Automation and-Electronic-Systems Engineering

- Autonomous systems

- Human-in-the-loop systems

- Thin-film devices and sensors

- Flexible and wearable electronics, smart textiles

- Micro and nano technology

- Soft biocompatible sensor systems

- Robotic Systems

- Automatic Control

- Intelligent Sensor/Actor Networks

Computer Systems Engineering

- Systems of Systems

- Complex Networks

- Distributed Systems and Security

- Self-Adaptive Software Systems

- Development and Operation of IoT Systems

- Operations Research

The ASE PhD Program is jointly run by faculty from the UniBZ Faculty of Science & Technology ( ) and from the UniBZ Faculty of Computer Science ( ).

Program Website:

Available Positions:

We are looking for highly talented, motivated and skilled candidates to work on the following research projects:

Projects sponsored/co-sponsored by the Italian National Recovery and Resilience Plan:

2 scholarships with bound research topic and minimum 6-month study period abroad requirement pursuant to DM 351/2021 funded by PNRR:

  • Electronic enhancement of bio-photosynthetic systems (supervisor Prof. Luisa Petti)
  • Modular and reconfigurable collaborative robots for precision agriculture (supervisors Profs. Renato Vidoni and Karl von Ellenrieder)
  • 6 scholarships with bound research topic and minimum 6-month study period abroad and minimum 6-month in-company internship pursuant to DM 352/2021 funded by PNRR:

  • Development of advanced control strategies for a 2-axes off-road autonomous vehicle (in collaboration with Iveco defence vehicles, supervisor Prof. Karl von Ellenrieder)
  • User-centered process adaptation and task allocation in collaborative assembly tasks (in collaboration with SMACT, supervisor Prof. Angelika Peer)
  • Unobtrusive physiological sensors for cognitive car seats (in collaboration with BMW Group, supervisors Prof. Niko Münzenrieder and Prof. Michael Haller)
  • Unobtrusive thin-film sensors inside mono-filaments and woven textiles (in collaboration with SEFAR, supervisors Prof. Niko Münzenrieder and Prof. Michael Haller)
  • Flexible sensors and electronics for wearable devices in e-health application (in collaboration with Empatica Spa, supervisor Prof. Luisa Petti)
  • Organic-based membranes for selective permeation of specific target gases for enhanced selectivity in low-cost sensors (in collaboration with the Fondazione Bruno Kesler, supervisor Prof. Luisa Petti)
  • In addition, there are three scholarships funded under specific research project funds:

    scholarship with bound research topic

  • Characterization of the mechanical behavior of engineering materials exploiting numerical approaches and experiments (supervisor Dr. Franco Concli)
  • 2 Assegnista di Ricerca (Research Assistantship) positions (research grants)

  • Digital Twin based kinematic and mechatronic modelling for testing and optimizing the performance and energy efficiency of machines (supervisors Prof. Renato Vidoni and Dr. Erwin Rauch)
  • BIM and IoT Integration for Digital Twins in Construction Industry (supervisors Dr. Patrick Dallasega and Dr. Erwin Rauch)
  • Projects funded under university-sponsored scholarships (potential thesis supervisor in parenthesis):

  • Dynamics and diffusion on complex networks (Bertotti)
  • Structure and properties of complex networks (Bertotti)
  • Development of a smart system steering the engineering design process through the real-time provision of inspiration sources (Borgianni)
  • Use of new technologies to favor users' understanding of products' actual sustainability-related performances (Borgianni)
  • Green and Circular Thin-film Electronics (Cantarella/Münzenrieder)
  • Ultrathin and Imperceptible Sensors and Electronic Devices (Cantarella/Münzenrieder)
  • Characterization of the mechanical behavior of engineering materials exploiting numerical approaches and experiments (Concli)
  • Implementation of multi-axial fatigue criteria specifically developed for Additive Manufacturing alloys (Concli)
  • Digital Twin development for Smart Mobile Factories (Dallasega)
  • Development of Data-Driven Aid Systems to support Planning, Scheduling and Monitoring of Projects (Dallasega)
  • Path and motion planning for intelligent vehicles and robots (Frego/Peer)
  • Control and optimization in presence of uncertainties in gamification and game
  • theory (Frego/Peer)
  • Industrial DevOps: Applying DevOps For Software, Hardware, and Firmware (Janes/Russo)
  • Performance Engineering in Industrial Software Engineering (Janes/Russo)
  • Dynamics and diffusion on complex networks (Modanese)
  • Structure and properties of complex networks (Modanese)
  • Thin-film transistors, circuits, and sensors for wearable electronics (Münzenrieder)
  • Smart textiles based on flexible electronics (Münzenrieder)
  • Quality Engineering for AI-driven Edge Cloud Architectures (Pahl)
  • Self-adaptive Microservice Architectures for the Deep Edge (Pahl)
  • Action, plan and intention recognition for supporting decision making and action sharing in human-robot collaboration (Peer)
  • Dynamic models for emotion estimation from physiological signals (Peer)
  • Nanotechnology and nanoparticles for engineered living materials (Petti)
  • Sustainable bio-based electronics for on-plant health monitoring (Petti)
  • Advanced and flexible manufacturing and assembly technologies (Rauch)
  • Biological transformation and bio-intelligent manufacturing (Rauch)
  • CAIS - Collaborative AI-enabled systems (Russo)
  • Edge continuum for distributed charging stations for electric cars (Russo)
  • Optimal motion planning for safe industrial collaborative robotics (Vidoni)
  • Development of smart and efficient mechatronics and robotic solutions for agro-forestry (Vidoni)
  • Controllers for reactive collision avoidance in mobile robotics (von Ellenrieder)
  • Control of high speed underactuated ground vehicles (von Ellenrieder)
  • Apply Online Here:


    Study Programme Advisory Service

    Faculty of Science & Technology and Faculty of Computer Science

    Libera Università Di Bolzano

    Piazzetta Franz Innerhofer, 8

    Bolzano, Alto-Adige 39100


    Phone Number: +39 0471 012100


    About the University:

    The University of Bozen-Bolzano is located in a bilingual (German-Italian) region of Northern Italy. It generally has three languages of instruction Italian-German-English, but the PhD program is conducted entirely in English. Compared to other Italian universities it has a very high level of internationalization. Excellent research facilities are available and the university regularly reaches top positions in national and international rankings. Additional information about the university can be found here -

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