Faculty recruitment

PE1 - Mathematics

The required profile is for a professor in the SSD Algebra (MATH-02/A) with proven experience in number theory and cryptography, with particular emphasis on classical cryptography, post-quantum cryptography, and blockchain technology. The candidate must have a strong international scientific publication record and the ability to attract and manage competitive research projects and third-party funded collaborations in the field of cryptography. Consolidated teaching experience is required in courses on algebra, number theory, and classical and post-quantum cryptography, as well as experience in supervising theses and advanced training activities in these areas. Active participation in national and international research networks and groups is desirable, as well as involvement in editorial activities, outreach, and technology transfer. The professor will also be asked to teach undergraduate courses in Algebra, Calculus and other basic mathematics.

• PE6 – Computer Science and Informatics
• PE7 - Systems and Communication Engineering

The research activity is situated within the fields of information theory and cryptography, with particular attention to theoretical foundations, computational aspects, and applications in data security and digital communications.

Scientific interests include:

• Classical and quantum information theory: study of information measures, source and channel coding, capacity of noisy channels (in the classical Shannon sense or in the quantum sense based on Von Neumann entropy), error-correction techniques, secure communication, and fundamental performance limits.
• Applications to multi-user wireless systems: modeling and analysis of the capacity of multiple-access, broadcast, and interference channels; cooperative coding techniques; physical layer security; and secure resource-sharing strategies in mobile networks and 5G/6G systems.
• Classical and post-quantum cryptography: design, analysis, and formal validation of cryptographic primitives (symmetric ciphers, public-key schemes, digital signatures, hash functions), with particular attention to systems resistant to quantum attacks.
• Computational complexity in cryptography: study of security assumptions based on computationally hard problems, and analysis of the robustness and efficiency of cryptographic algorithms.
• Applications of information theory to security: quantitative analysis of information-theoretical capacity, leak resilience, privacy amplification, secret key agreement, and wiretap codes.
• Security for distributed systems and IoT: integration of low-complexity cryptographic mechanisms and coding techniques to ensure confidentiality, integrity, and reliability in resource-constrained environments.

The candidate’s research is characterized by an interdisciplinary approach that combines mathematical rigor with attention to computational efficiency and technological transfer, in collaboration with national and international research institutions.

PE7 - Systems and Communication Engineering

The position aims to strengthen the Department’s leadership in the field of integrated satellite-based communication and navigation networks, a key area for the 6G and post-6G vision, where the convergence between space and terrestrial systems represents a strategic technological and scientific priority.
The ideal candidate is a researcher with proven experience in Telecommunications for Non-Terrestrial Networks (NTN), including integrated communication and navigation architectures.

The research activity lies at the intersection of LEO satellite networks, 6G-ready communication systems, and positioning, navigation, and timing (PNT) technologies, such as LEO signals for resilient applications.

The main research lines include advanced topics for complex satellite systems, such as:

• Advanced research on the physical layer (PHY) for NTN and LEO-PNT networks, including, for example, new waveforms and adaptive modulation and coding schemes for high-mobility LEO channels; distributed massive MIMO and adaptive beamforming for intelligent payloads and ground terminals; Joint Communication & Sensing techniques to enable coexistence and synergy among communication, sensing, and positioning; AI-native approaches leveraging machine learning for dynamic physical-layer optimization and mitigation of channel impairments.
• Modeling and optimization of radio channels in dynamic LEO and HAPS environments.
• Design of radio-frequency and optical inter-satellite links.
• Network architectures and optimized protocols for multi-orbit NTN systems and 6G space–terrestrial networks; routing, handover, and radio resource management.
• Opportunistic positioning and signal-of-opportunity techniques based on LEO constellations.
• Integration of traditional GNSS with LEO-PNT for high-precision and robust applications.
• Experimental implementations using software-defined radios and digital twins of NTN systems.

The candidate will be expected to contribute to the growth of an academic and industrial ecosystem dedicated to innovation in the NTN and LEO-PNT fields, fostering collaborations with highly prestigious academic institutions, space agencies, telecommunications operators, start-ups, and European research centers.

PE7 - Systems and Communication Engineering

The candidate must have a profile suitable for strengthening specific areas of research that are already active within the Department of Electronics and Telecommunications, such as the development and metrological characterization of automatic measurement systems, the definition of innovative calibration procedures, the design and development of sensors, and the development of instrumentation for diagnostic and therapeutic instruments in the biomedical field.
The common factors among these research areas concern issues related to conditioning, acquisition, and processing of measurement signals, with particular emphasis on metrological characterization and traceability assurance.

The candidate must also be able to teach within the Scientific Disciplinary Group 09/IMIS-01 Measurements, both in Bachelor’s degree programs and in Master’s degree programs.

PE8 - Products and Processes Engineering

The Department of Mechanical and Aerospace Engineering is seeking a candidate for an Associate Professor position with the skills and experience to coordinate research activities related to the development of next-generation actuation and magnetic suspension systems. The research activity demands the definition of a design methodology based on an integrated and multidisciplinary approach. The research is part of an international context consisting of a very active scientific community in Europe, the United States, Central America, Japan, and China. It is driven by strong industrial interest in the fields of (i) industrial production systems, (ii) transportation, and (iii) automotive engineering. The research work in these areas is based on the need to develop mechanical/mechatronic systems that are increasingly (i) flexible, (ii) efficient, and (iii) compact, with the goal of improving (i) safety, (ii) comfort, and (iii) environmental impact of machines and structures.

The actuation systems, which are the subject of the research activity, are based on the development of electromagnetic devices, often integrated with motion transmission systems. These require the refinement and use of multiphysics and multidomain numerical models with varying levels of complexity depending on their function. Such tools are essential to achieve increasingly demanding requirements like (i) dynamic performance, (ii) low noise, (iii) compactness, and (iv) efficiency. Meeting these requirements also demands particular care in the selection and use of materials to minimize friction, nonlinearities, and inertia of the components while still ensuring compliance with static, thermal, and fatigue design specifications.

To maximize the performance of such actuation systems, it is essential to integrate both (i) low-level and (ii) high-level control strategies. Low-level control requires the regulation of torque/force or of velocity/displacement at the device output and involves the implementation of techniques for inertia and friction compensation, as well as the injection of high-order harmonics to reduce vibrations and noise. High-level control is aimed at integrating the actuator into the overall system or process to be controlled. Rapid prototyping platforms for the execution of strategies developed in MATLAB/Simulink environments (e.g., dSpace) are requested to be exploited.

Validation through experiments represents another crucial step in the development of these systems. It is carried out by virtualizing processes in high-level hardware (dSpace), thus enabling the use of Hardware-in-the-Loop (HiL) strategies for partial system validation. This approach enables the simulation of virtual elements in real time for those parts of the system that are not of immediate interest. Subsequently, it is necessary to perform experimental validation of the complete system under operating conditions.

The candidate will be responsible for following all the development phases outlined above: (i) modeling, (ii) design methodology definition and execution, (iii) control, and (iv) experimentation. In particular, the candidate is expected to have solid experience in this field, documented through scientific publications, patents, and collaborations with Italian and European partners, both industrial and academic. Additionally, the candidate will be required to coordinate the research activity with the groups already active on the subject.

The candidate will be placed within the disciplinary sector IIND-03/A “Mechanical Design and Machine Construction” and will carry out teaching activities in the courses of this field.

PE8 - Products and Processes Engineering

The Department of Mechanical and Aerospace Engineering seeks a candidate for a Full Professor position with the skills and experience necessary to coordinate research activities focused on the development of personalized computational models and their application for diagnostic and prognostic purposes. The position requires the definition of simulation methodologies based on an approach that integrates advanced medical imaging technologies with computational biomechanics modeling techniques and is therefore intrinsically multidisciplinary.

The research takes place within an international context, involving a highly active scientific community in Europe, North America, Japan, China, and Australia. This line of research, driven by the growing scientific interest in so-called precision medicine, has significant social impact, as it aims to define new diagnostic and prognostic tools based on computational models and medical images, as well as the design of personalized medical devices. These outcomes, in turn, generate strong industrial interest in the fields of (i) medical device manufacturing and (ii) diagnostic software applications.

Research in these areas is founded on the need to consolidate and strengthen DIMEAS’s position as a key international player, by providing stronger support to rapidly expanding industrial sectors in the region and responding to the increasing demand from healthcare institutions for technologically advanced, personalized decision-support systems. The socio-economic impact of in silico medicine in the coming years is expected to include reduced healthcare costs through accelerated drug testing and personalized treatment approaches. This model-, simulation-based approach promises to improve therapeutic effectiveness, reduce reliance on animal and human testing, and enhance disease management. However, it will also require substantial investments in technology and expertise.

This position is therefore conceived to reinforce DIMEAS’s already strong commitment to supporting the medical device industry, regional public healthcare, and technical advisory activities for the Ministry of Health.

The selected candidate will be responsible for conceiving and managing all phases involved in personalized in silico medicine projects: (i) modeling, (ii) definition and implementation of the project methodology, and (iii) verification, validation, and uncertainty quantification associated with personalized in silico models. In particular, the candidate must have an internationally recognized scientific profile and proven experience in the field of in silico medicine, demonstrated through scientific publications, patents, and collaborations with Italian and European partners from both academia and industry. Furthermore, the candidate will be expected to coordinate with existing research groups already active in this field.

The candidate will be appointed within the academic discipline GSD 09/IBIO-01 “Biomedical Engineering” and will carry out teaching activities within this area.

PE8 - Products and Processes Engineering

The Department of Mechanical and Aerospace Engineering is seeking a candidate for an Associate Professor position with the skills and experience to coordinate research activities related to the development of mechanical systems, including but not limited to: operating and power machines, mechanical and mechatronic devices, mechanisms, transmissions and drives, automatic machines and robotic systems, vehicles, conventional and autonomous transport systems, lifting systems, energy production systems, biomechanical systems, and micro- and nanoscale components and systems. Experimental, modeling, and simulation methods will be used to analyze the mechanical behavior and functional design of machines and mechanical systems. The methods and applications are based on the study of kinematics, statics, linear and nonlinear dynamics, interactions with the environment in general and between material surfaces (contact mechanics), control, automation, and identification of mechanical systems. Research focuses also include vibrational, vibroacoustic, and tribological phenomena, mechatronics, fluid-structure interactions, monitoring, diagnostics, and prognostics of mechanical systems, automation and fluid robotics, fluidics and microfluidics, and functional biomechanics. The ability to apply the developed methods using hardware and software is an integral part of the research.

The candidate will be responsible for modeling, defining, and executing a design and experimental methodology. Specifically, the candidate is expected to have solid experience in these fields, documented through scientific publications, patents, and collaborations with Italian and European industrial and academic partners. Furthermore, the candidate will be expected to coordinate and integrate their work with that of the research groups currently active in the listed topics.

The candidate will be assigned to the Italian Scientific Group (GSD) 09/IIND-02 "Meccanica Applicata alle Macchine" and will teach courses in this area. Teaching commitments will extend to the courses taught by the Doctoral School in Mechanical Engineering and the Master's programs. Assistance is also provided to students preparing their theses at various levels (Bachelor's, Master's, and Doctoral).

PE8 - Products and Processes Engineering

The Department of Mechanical and Aerospace Engineering is seeking a candidate for an Associate Professor position with the skills and experience to coordinate research activities related to the development of simulators for rotary-wing and/or hybrid aircraft, with a high degree of integration with hardware and software systems representative of the characteristics of the real flight segment (HIL/SIL systems). The activity therefore requires the design of simulation platforms based on an integrated and multidisciplinary approach and is part of an international context consisting of a highly active scientific community in Europe, the United States, Japan, and China. It is stimulated by strong industrial interest in the civil aviation sector, with particular emphasis on solutions for the transport of payloads with autonomous and semi-autonomous systems.

Research in the above-mentioned areas is based on the need to develop validated simulators in scaled environments for future urban air mobility applications, which will operate close to the ground, near buildings in urban environments, within confined spaces, and generally in hostile environments. These conditions can significantly impact the flight characteristics achievable by these vehicles, posing significant safety risks. A generalized simulation model capable of predicting flight characteristics for various configurations of manned and unmanned aircraft is therefore required, essential to ensuring their safe operation in complex operational environments.

The candidate must have a solid background in rotorcraft aerodynamics and flight dynamics. Expertise in automation applied to the aerospace sector, multidisciplinary modeling, and the validation of simulation platforms, including pilot-in-the-loop, is also required.

The candidate must demonstrate the ability to coordinate international research projects, preferably with consolidated experience in European contexts, and a strong aptitude for collaboration with the civil aviation industry. Excellent communication skills, a predisposition for technology transfer and interdisciplinary work, and an interest in the technological challenges of advanced air mobility complete the profile.

The candidate will be responsible for overseeing the research and development activities planned within the Interdepartmental Center for Aerospace, where a new research infrastructure is going to be realized (IDEAS). Specifically, the candidate is expected to have solid experience, documented through scientific publications, patents, and collaborations with Italian and European industrial and academic partners. Furthermore, the candidate will be expected to coordinate with research groups currently active in the field.

The candidate will be assigned to the GSD 09/IIND-01 "Aerospace and Naval Engineering," preferably to the SSD IIND-01/C (ING-IND/03) "Flight Mechanics" or SSD IIND-01/F (ING-IND/06) "Fluid Dynamics," and will teach courses in this area.

PE8 - Products and Processes Engineering

The Department of Mechanical and Aerospace Engineering is seeking a candidate for an Associate/ Full Professor position with proven experience in the field of Mechanics of Machines in terms of the ability to define research lines, organize and lead national and international research groups, and proven experience in obtaining and managing competitive research funds.

Areas of potential involvement in the definition and coordination of research activities related to the development of mechanical systems may include, for example: operating and power machines, mechanical and mechatronic devices, mechanisms, transmissions and drives, automatic machines and robotic systems, vehicles, conventional and autonomous transport systems, lifting systems, energy production systems, biomechanical systems, and micro- and nanoscale components and systems. Experimental, modeling, and simulation methods will be used to analyze the mechanical behavior and functional design of machines and mechanical systems. The methods and applications are based on the study of kinematics, statics, linear and nonlinear dynamics, interactions with the environment in general and between material surfaces (contact mechanics), control, automation, and identification of mechanical systems. Research focuses also include vibrational, vibroacoustic, and tribological phenomena, mechatronics, fluid-structure interactions, monitoring, diagnostics, and prognostics of mechanical systems, automation and fluid robotics, fluidics and microfluidics, and functional biomechanics. The ability to apply the developed methods using hardware and software is an integral part of the research.

The candidate will be responsible for modeling, defining, and executing a design and experimental methodology.

The candidate will be responsible for promoting the establishment of research groups engaged in the modeling, definition, and implementation of design methodologies and experimentation on topics capable of improving the Department's teaching and research curriculum. Specifically, the candidate is expected to have solid experience in these fields, documented through scientific publications, patents, and collaborations with Italian and European industrial and academic partners. Furthermore, the candidate will be expected to coordinate and integrate their work with that of the research groups currently active in the listed topics.

The candidate will be assigned to the Italian Scientific Group (GSD) 09/IIND-02 "Meccanica Applicata alle Macchine" and will teach courses in this area. Teaching commitments will extend to the courses taught by the Doctoral School in Mechanical Engineering and the Master's programs. Assistance is also provided to students preparing their theses at various levels (Bachelor's, Master's, and Doctoral).

• LS1 - Molecules of Life: Biological Mechanisms, Structures and Functions
• LS2 - Integrative Biology: From Genes and Genomes to Systems
• LS3 - Cell Biology, Development, Stem Cells and Regeneration
• LS4 - Physiology in Health, Disease and Ageing
• LS5 - Neuroscience and Disorders of the Nervous System
• LS6 - Immunity, Infection and Immunotherapy
• LS7 - Prevention, Diagnosis and Treatment of Human Diseases
• LS8 - Environmental Biology, Ecology and Evolution
• LS9 - Biotechnology and Biosystems Engineering

• PE1 - Mathematics
• PE2 - Fundamental Constituents of Matter
• PE3 - Condensed Matter Physics
• PE4 - Physical and Analytical Chemical Sciences
• PE5 - Synthetic Chemistry and Materials
• PE6 - Computer Science and Informatics
• PE7 - Systems and Communication Engineering
• PE8 - Products and Processes Engineering
• PE9 - Universe Sciences
• PE10 - Earth System Science
• PE11 - Materials Engineering

• SH1 - Individuals, Markets and Organisations
• SH2 - Institutions, Governance and Legal Systems
• SH3 - The Social World and Its Interactions
• SH4 - The Human Mind and Its Complexity
• SH5 - Texts and Concepts
• SH6 - The Study of the Human Past
• SH7 - Human Mobility, Environment, and Space
• SH8 - Studies of Cultures and Arts