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The University of Cádiz is offering a research post on the project entitled 'Methods for ensuring resilience in advanced software engineering environments'.
Tasks include analyzing user interaction logs with data analysis, ML, and process mining; applying ML to model user behaviour in gamified systems; and collaborating on personalization models based on multi-agent architectures to adapt gamification strategies.
Organisation/Company University of Cadiz Department Ingeniería informática Research Field Engineering - Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 26 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 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
The University of Cádiz is offering a research post on the project entitled 'Methods for ensuring resilience in advanced software engineering environments'
To carry out, amongst others, the following tasks and the remainder described in section 4 of the Annex
To analyse user interaction logs using data analysis techniques, machine learning and, where appropriate, process mining, in order to identify behavioural patterns relevant to personalisation and adaptation models.
Apply machine learning techniques to model users' behaviour, preferences and context in gamified systems, with the aim of developing adaptive personalisation strategies.
Collaborate on the design and implementation of personalisation models based on multi-agent architectures to adapt gamification strategies based on users' actions and preferences.
Internal Application form(s) needed
ANEXO 16.- ESTHER LYDIA SILVA RAMIREZ_A10202616.pdf
Specific qualifications:
Higher university qualification (Bachelor's degree, Graduate degree, Engineering degree or Master's degree) in one of the following areas:
Computer Engineering, Data Science, Artificial Intelligence.
Mathematics, Statistics.
Telecommunications Engineering, Telematics.
Related degrees with a strong focus on software and data.
Experience:
Knowledge or experience in the following areas will be an advantage:
Machine learning, data analysis and software development.
Federated learning, explainable artificial intelligence, multimodal data processing and IoT.
Process mining techniques and tools (e.g. PM4Py).
Simulation environments, modelling of complex systems or development of digital twins (e.g. AnyLogic).
The Python language and its ecosystem for data science (e.g. Scikit-learn, etc.).
Selection process
Requireddocumentation:
Knowledge of Spanish is required
More information in Anexo 16 Ref 10/2026/16
Kindly note that our business hours are Monday through Friday in the morning.