28 Dec 2025
Job Information
- Organisation/Company
UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA- Research Field
Computer science- Researcher Profile
First Stage Researcher (R1)- Positions
PhD Positions- Country
Spain- Application Deadline
30 Jan 2026 - 23:19 (Europe/Madrid)- Type of Contract
Temporary- Job Status
Full-time- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Are you passionate about Artificial Intelligence, Machine Learning, and their application to real challenges with environmental impact? Do you want to develop your research career in a cutting-edge project that combines technology, sustainability, and smart agriculture?
This is your opportunity!
About the project
The SERGIoT project aims to reduce the environmental impact of intensive agriculture by designing a digital twin strategy for efficient greenhouse management.
Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way.
Main duties
- Design, development, and training of machine learning and deep learning algorithms.
- Creation of accurate, robust, and energy-efficient models.
- Development of systems capable of predicting and making decisions in real time.
- Optimization of resource use in greenhouse environments using digital twins.
- Active participation in a multidisciplinary and innovative environment.
Requirements
- Degree in Computer Engineering or similar with a Master's in Data Science or Biomedical Engineering.
- Interest in research and pursuing a PhD.
- Motivation to apply AI to real and sustainable challenges.
What do we offer?
- Join the Universal Knowledge Enhancement by Multidisciplinary Implementation (UKEIM) group.
- Participate in a project with high scientific, technological, and environmental impact.
- Advanced training in AI, digital twins, and intelligent systems.
- Excellent working environment with academic supervision by Andrés Bueno Crespo.
- Real opportunity for research and professional growth.
Where to apply
- Website
- https://es.indeed.com/job/phd-student-sergiot-81e665e359f4d131
Requirements
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- UCAM HiTech, Sport & Health Innovation Hub
- Country
- Spain
- Geofield
Contact
- State/Province
Murcia- City
Murcia- Website
http://www.ucam.edu- Street
Av. de los Jerónimos, 135- Postal Code
30107
STATUS: EXPIRED
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