Cognitive architecture for agricultural robots supporting anticipation

European Commission; España; Presencial; EUR 25.000 - 35.000; Jornada completa

Descripción de la vacante

A prestigious educational institution in Spain is offering a PhD position focused on designing cognitive architecture for agricultural robots. The role requires strong programming skills in C++ and Python, along with a relevant MEng/MSc degree. The candidate will work on developing innovative solutions to enhance robotic performance in agricultural tasks. Collaboration with experienced professors in a supportive academic environment is provided.

Formación

• Valid MEng/MSc degree or equivalent in relevant fields.
• Skills in C++ and Python programming are essential.
• Desirable experience in robotics, machine learning, and AI.

Responsabilidades

• Design a cognitive architecture for agricultural robots.
• Integrate a time-based multi-sensor fusion system into the architecture.
• Validate the architecture on real platforms.

Conocimientos

C++ programming

Python programming

Robotics

Machine learning

AI

Coding

Educación

MEng/MSc degree in engineering, computer science, mathematics, or physics

Descripción del empleo

Robotics and Artificial Vision Laboratory of the University of Extremadura

Organization/Company: Universidad de Extremadura

Department: Robotics and Artificial Vision Laboratory of the University of Extremadura

Research Field: Computer science, Engineering, Electrical engineering, Mathematics, Physics

Researcher Profile: First Stage Researcher (R1)

Positions: PhD Positions

Country: Spain

Application Deadline: 14 Aug 2025 - 23:59 (Europe/Madrid)

Type of Contract: Temporary

Job Status: Full-time

Offer Starting Date: 1 Oct 2025

Funding: Horizon Europe - MSCA, Grant Agreement Number 101169330

Research Infrastructure: No

Offer Description

The PhD candidate will design a cognitive architecture for agricultural robots, focusing on time-based multisensor data fusion to enhance perception and decision-making. This architecture will integrate distributed planning and anticipation support, including temporal dimensions for improved robotic performance in agricultural tasks. The research involves analyzing existing architectures, developing novel fusion techniques, and validating on real platforms.

Objectives

1. Analyze and compare existing cognitive robotics architectures in agriculture.
2. Design a cognitive architecture for agricultural robots with planning and anticipation capabilities.
3. Integrate a time-based multi-sensor fusion system into the architecture.
4. Validate the architecture on real platforms.

Expected Results

• A new time-based multi-sensor data fusion system for agricultural robots.
• A robotic cognitive architecture with planning and anticipation support.
• Dissemination of results in international conferences and journals.

Qualifications

• Valid MEng/MSc degree or equivalent in electrical engineering, computer science, mathematics, physics, or related fields.
• Skills in C++ and Python programming.
• Experience in robotics, machine learning, AI, coding is desirable.
• Motivation, responsibility, autonomy, and problem-solving skills.

Languages

• Spanish: Good level
• English: Excellent level

Additional Information

The supervisors are Prof. Luis V. Calderita and Prof. Pedro Nuñez Trujillo. The host institution is the University of Extremadura in Cáceres, Spain, known for its excellence and regional development. The research will be conducted at RoboLab, specializing in robotics, computer vision, and intelligent systems. Cáceres offers a rich cultural heritage and a welcoming environment for students.