TXT Group is an international end-to-end IT consulting provider of software solutions and services, supporting the digital transformation of clients' core products and processes. With a proprietary software portfolio and deep expertise in vertical domains, TXT Group operates in diverse markets, with a growing footprint in the aerospace, aviation, defense, industrial, government, and fintech sectors. The parent company TXT e-solutions S.p.A. has been listed on the Italian Stock Exchange, on the Star Segment (TXT.MI), since July 2000. TXT Group is headquartered in Milan and has subsidiaries in Italy, Germany, the United Kingdom, France, Switzerland and the United States of America.
Software Engineer:
TXT e-Tech, a company of the TXT Group, is looking for a candidate for a Master’s thesis focused on the research, design, implementation and validation of swarming, formation and multi-agent coordination algorithms within a proprietary product.
The project is part of TXT’s modular cloud-based platform for the simulation of unmanned systems (UAV, UGV, USV, eVTOL), which integrates the entire UxV operational lifecycle: mission design, planning, real-time simulation (C++ core), and KPI-based debriefing within a single environment.
The candidate will contribute to the evolution of the Autonomy & Guidance Layer and the Swarming & Teaming Behaviour Engine (currently TRL 3), working on:
Formation control (leader–follower, virtual structure)
Decentralized swarming based on swarm intelligence
Cooperative task allocation for heterogeneous fleets
Main responsibilities:
- Literature review on state-of-the-art formation, swarming and coordination algorithms for UxV systems
- Algorithm design and formalisation with attention to computational efficiency and real-time constraints
- Implementation of selected algorithms as software modules compatible with a C++ simulation core and microservices architecture
- Simulation-based validation within a structured environment (scenario design, test campaigns, KPI evaluation)
- Documentation and thesis write-up including analysis of results, limitations and future development directions
Required technical skills:
- Fundamentals of control theory and/or multi-agent systems
- Programming in C++
- Programming in Python
- Familiarity with simulation environments (e.g. Gazebo, MATLAB/Simulink)
- Understanding of swarm intelligence or formation control principles
Nice to have:
- Experience with multi-robot coordination or distributed algorithms
- Multi-agent reinforcement learning
- Knowledge of MAVLink, ROS/ROS2 or drone communication protocols
- Familiarity with HLA/DIS standards for distributed simulation
- Optimisation techniques (genetic algorithms, metaheuristics, gradient-free methods)
- Previous exposure to aerospace or defence simulation environments
Education: Bachelor’s or Master’s degree in Aerospace Engineering, Robotics, Computer Science, Control Engineering, Automation or related disciplines.
Soft skills: Analytical thinking and problem-solving, Autonomy and organisational skills, Intellectual curiosity and research aptitude, Team collaboration, Clear written and oral communication, Results orientation.
Ideal profile: Master’s student in Aerospace Engineering or Robotics with academic experience (project or coursework) in multi-agent systems, distributed control or swarm intelligence, and practical programming skills in C++/Python within simulation environments.
Why Choose TXT?
Career opportunities in a rapidly growing and profoundly changing company with young, international staff;
Training on business-related topics;
Corporate Benefits (Ticket Restaurant, discounts as a group employee).
Teamworking: Opportunity to collaborate with highly talented and passionate people in a highly professional development process;
Hybrid work mode.
Position is open to all applicants regardless of gender, in accordance with Italian Legislative Decree 198/2006. The company promotes equal opportunities and values diversity in all its forms
