Descripción de la oferta
Offer Description Applications are invited by the University of Alicante President to participate in a recruitment process for research staff (contract type: open‑ended contract; job category: assistant researcher) to collaborate with the funded lines of research “Biodiversity and marine preservation”, “Markers determining health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. Reference: I-PI 10-26 Job Overview Organisation/Company: Universidad de Alicante, Department Ramón Margalef Multidisciplinary Institute for Environmental Research (IMEM).Country: SpainType of Contract: TemporaryJob Status: Full‑time, 37.5 hours per weekApplication Deadline: 6 Mar 2026 – 23:59 (Europe/Madrid)Starting Date: 23 Feb 2026 Funding and Projects Project 1: \"New technologies and advances in the knowledge of elasmobranchii in waters off eastern Spain 2 - E‑LASMO2\" – Reference FBIOPLEAMAR25‑02 – Funded by Biodiversity Foundation F.S.P. and co‑funded by the European Maritime, Fisheries and Aquaculture Fund (EMFAF). Project 2: \"Personalised treatment of obesity through learning and the analysis of a multimodal space of this condition with an integrated approach, Tech4D‑Person\" – Reference PID2023‑ OB‑I00 – Funded by the Spanish Ministry of Science, Innovation and Universities and co‑funded by the ERDF‑EU. Position Details Job title: Assistant researcher Vacancies: one Working hours: 37.5 hours per week (morning/afternoon sessions) Remuneration: €1,643.99 gross per month (includes any extra payment) Responsibilities: Develop, study and evaluate automated image classification methods when training data is scarce, using machine and deep learning techniques and informed machine‑learning methodologies. Preferred Qualifications: Experience and training related to the tasks listed above. Analysis of the state of the art in informed machine‑learning methodologies applied to computer vision. Knowledge representation mechanisms for integration with deep‑learning models (graphs, logical rules, mathematical formulation). Participation in the design and development of knowledge‑driven deep‑learning methodologies in informed machine‑learning. Application and validation of the developed methodologies in imaging analysis cases in biology. Comparison between informed and uninformed approaches and analysis of model explainability. Familiarity with CNNs, ViTs, CLIP models, contrastive learning, NLP, attention mechanisms, VAEs, LLMs, k‑NN, SVC, random forest, k‑means clustering and PCA. Knowledge of Catalan. Official Master’s degree in Artificial Intelligence (Spanish MECES level 3 or EQF level 7) or equivalent. Equal Opportunity Statement:Under the University of Alicante 4th Plan for equal opportunities, the distribution of assistant researcher vacancies in research projects is 48.57% for women and 51.43% for men, ensuring no under‑representation of either sex. Application Requirements Undergraduate degree in Biomedical Engineering (Spanish MECES level 2 or EQF level 6) or equivalent, plus a Master’s degree in Artificial Intelligence or equivalent. Official Master’s degree in Artificial Intelligence (Spanish MECES level 3 or EQF level 7) or equivalent. Proof of Spanish nationality or legal residence in Spain. Good command of any official language of the Valencia Region. Minimum age: 16 years; not above mandatory retirement age. Physical and mental capacities required for the job functions. Compliance with all other statutory requirements as outlined in the call. Applicants must submit a CV in the University of Alicante’s standard format ( for Project‑based Research and Technical Staff Recruitment. The CV template must be attached in the section ‘Modelo currículum’. #J-18808-Ljbffr
