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Dottoranda / Dottorando nell'area del controllo intelligente per sistemi e reti - Job Opportunity at SUPSI

Lugano, Switzerland
Full-time
Entry-level
Posted: August 1, 2025
On-site
CHF 55,000 - 65,000 per year based on Swiss PhD student stipends and SUPSI's position as a leading applied sciences university, with potential for performance-based increases and conference travel allowances

Benefits

Access to cutting-edge machine learning technologies providing exposure to the latest advancements in AI and robotics research
International research environment with high-level academic and industrial collaborations offering global networking opportunities
Participation in high-profile conferences and workshops enabling professional visibility and scientific networking
Professional and scientific development opportunities with structured career advancement support
Two-year fixed-term contract with renewal possibility providing job security and career continuity

Key Responsibilities

Lead innovative research in humanoid robotics applying Generative AI and Reinforcement Learning techniques to advance the field of intelligent control systems
Design and implement cutting-edge experiments to explore novel approaches in humanoid robot control, contributing to breakthrough discoveries
Collaborate with interdisciplinary teams to tackle complex research challenges, fostering cross-functional innovation and knowledge transfer
Provide strategic support to the LEON robotics team in research-oriented projects and practical applications, bridging theoretical research with real-world implementation
Publish high-impact research results in top-tier international conferences and journals, establishing thought leadership in the field

Requirements

Education

Laurea magistrale in ingegneria robotica, meccanica, automazione o in un campo correlato

Experience

Forti capacità di programmazione in Python ed esperienza con librerie/framework pertinenti

Required Skills

Competenza nelle aree indicate (Generative AI, robotica) Forti capacità di programmazione in Python ed esperienza con librerie/framework pertinenti (ad esempio PyTorch, TensorFlow) Eccellenti capacità di comunicazione Capacità di lavorare efficacemente sia in modo indipendente che collaborativo Ottime capacità di comunicazione in inglese parlato e scritto Competenza nella implementazione e simulazione di algoritmi di controllo per sistemi robotici (ROS, ROS2) Esperienza nello sviluppo di software e contributi open source
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Sauge AI Market Intelligence

Industry Trends

The convergence of Generative AI and robotics is creating unprecedented opportunities for developing more intuitive and adaptive robotic systems, with humanoid robotics representing the next frontier in human-robot interaction and automation across industries from healthcare to manufacturing. European research institutions are increasingly prioritizing AI-driven robotics research as part of digital transformation initiatives, with significant funding flowing into projects that combine machine learning with physical robotic systems. The integration of Reinforcement Learning with traditional control systems is revolutionizing how robots learn and adapt to complex environments, making this a highly strategic research area with substantial commercial applications.

Role Significance

Typically operates within a multidisciplinary team of 8-12 researchers including AI specialists, robotics engineers, and control systems experts, with direct collaboration with international research partners and industry stakeholders.
This is a highly specialized doctoral research position that combines cutting-edge AI techniques with advanced robotics, representing a strategic role in developing next-generation intelligent control systems with significant academic and commercial impact potential.

Key Projects

Development of AI-powered control algorithms for humanoid robot locomotion and manipulation tasks Implementation of generative models for robot behavior synthesis and adaptation Creation of simulation environments for testing advanced control strategies in complex scenarios

Success Factors

Deep technical expertise in both AI/ML frameworks and robotics control systems, enabling seamless integration of theoretical advances with practical implementations Strong publication record in top-tier venues combined with open-source contributions that demonstrate both research excellence and practical software development skills Ability to bridge academic research with industrial applications, translating complex AI concepts into robust robotic control solutions

Market Demand

Very high demand driven by the rapid expansion of AI applications in robotics, with particular emphasis on humanoid systems as companies and research institutions seek to develop more sophisticated human-robot interfaces

Important Skills

Critical Skills

Generative AI expertise is absolutely essential as this represents the core technological innovation driving next-generation robotic control systems, requiring deep understanding of neural network architectures and their application to sequential decision-making problems Python programming proficiency with PyTorch/TensorFlow frameworks forms the foundation for implementing and experimenting with advanced AI algorithms, making this skill non-negotiable for success in the role Robotics control systems knowledge provides the necessary background for translating AI innovations into practical robotic applications, bridging the gap between theoretical AI research and physical system implementation

Beneficial Skills

ROS/ROS2 experience significantly enhances ability to work with existing robotics infrastructure and collaborate effectively with the broader robotics community Open-source software development experience demonstrates ability to contribute to the global research community and build upon existing work rather than starting from scratch Experience with experimental thesis work indicates hands-on research capabilities and ability to design and execute complex technical projects independently

Unique Aspects

Direct affiliation with IDSIA, one of the world's most influential AI research institutes, providing access to pioneering research and collaboration with leading AI scientists
Focus on humanoid robotics control using Generative AI represents a highly specialized and rapidly emerging field with significant commercial potential
Integration with the LEON robotics platform offers unique opportunities to work with advanced robotic systems and contribute to real-world applications

Career Growth

3-5 year progression timeline typical for doctoral graduates entering senior research or industry leadership positions, with accelerated paths available for exceptional performers with strong publication records

Potential Next Roles

Senior Research Scientist in AI/Robotics at leading technology companies or research institutions Principal Robotics Engineer focusing on humanoid systems development Academic positions as Assistant Professor in Robotics or AI departments Technical Lead roles in robotics startups developing commercial humanoid platforms

Company Overview

SUPSI

SUPSI represents Switzerland's premier applied sciences university system, with IDSIA being one of Europe's most prestigious AI research institutes, known for pioneering work in deep learning, robotics, and intelligent systems that have shaped modern AI development.

Internationally recognized leader in applied AI research with direct industry partnerships and significant influence on European AI policy and standards, particularly in robotics and intelligent systems applications.
Strategic position in the Swiss innovation ecosystem, serving as a bridge between cutting-edge research and practical applications, with strong connections to both European research networks and global technology companies.
Highly collaborative international research environment that emphasizes both theoretical rigor and practical impact, with strong support for individual research initiatives and professional development within a structured academic framework.
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