Descripción de la oferta
Organisation/Company Universidad de Alicante Department Department of IT and Computing Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 6 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 23 Feb 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number PID2023-149562OB-I00 Is the Job related to staff position within a Research Infrastructure? No
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 “Markers determining health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”.Reference: I-PI 11-26
Pursuant to the provisions on the regulations governing calls for applications of research staff to cover a contractual research position, approved by the Governing Council of 29 June 2021 (BOUA of 30 June 2021) and with instructions of the University of Alicante Offices of the Registrar and the Comptroller, which establish the mandatory use of electronic means for the submission of applications, documentation, payment of fees, communications, notifications and all other procedures of the selection procedures for the temporary contractual administrative and services staff and research staff and other general applicable regulations, the University of Alicante calls for applications in accordance with the following terms:
First. General terms.
1.1. The purpose of this call is to recruit research staff (job category: assistant researcher) in the framework of the projects included in the funded lines of research “Markers determining health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”.
1.2. Units in charge of the lines of research (in the order in which the respective lines of research are listed in section 1.1): Department of Health Psychology and Department of IT and Computing.
1.3. The first project in which the successful applicant(s) will collaborate, as well as the number of available vacancies and the characteristics of the job role, are set out in the annex I hereto. At the end of the duration of this first project or its budgetary availability for this recruitment process, the successful applicant(s) may join other projects within either of the lines of research stated herein.
1.4. The panel in charge of the recruitment process may decide to create a talent pool including candidates whose applications were unsuccessful but who participated in all the stages of the recruitment process and, where applicable, passed the relevant test. In such a case, the panel may set a minimum score for candidates to be placed in the pool.
The pool will list candidates in descending order of score. Candidates in the pool may be contacted if a successful applicant does not accept the position offered or, after accepting it, is on a temporary leave of absence, resigns or is dismissed. They may also be contacted to cover additional needs of the project (or of other projects within the lines of research stated herein), as long as the tasks to be fulfilled are related to the job profile specified in this call for applications.
If candidates are offered a position, they will be contacted in the order listed in the pool.
The candidate(s) selected for the job position(s) will be added to the talent pool at the end of their contract(s). Their position on the list will be determined by the score they achieved during the recruitment process.
In accordance with the provisions of the agreement of the Governing Council of 27 January 2022, which approves the University of Alicante 4th Plan for equal opportunities between women and men, and with article 61.2. f) of Valencia Government Law 4/2021, of 16 April, of the Valencian Civil Service it is hereby stated that the percentage distribution in the contractual job vacancies ofassistant researcher for research projects is 48.57%for women and 51.43%for men, so there is no under-representation of either sex in this job category.
Second. Requirements for applicants.
Compliance with the requirements listed below must always refer to the date of expiry of the deadline for the submission of applications and must be maintained until the date of entering into the contract.Applicants must:
2.1.Hold or be in the process of obtaining an undergraduate degree in Robotics Engineering, in Computer Engineering or in Artificial Intelligence Engineering (Spanish MECES level 2 or EQF level 6), or any other degree with equivalent content, plus an official Master’s degree in Artificial Intelligence (Spanish MECES level 3 or EQF level 7) or any other official Master’s degree with equivalent content. Applicants who are not in possession of the degree certificate must provide proof of payment of the diploma issuing fee or submit an academic certificate stating that they have completed all the studies leading to the award of said certificate.
2.2. Have a document (if the required qualification was obtained overseas) confirming that the relevant official approval or statement of comparability has been secured.
In the event of qualifications obtained overseas for which the relevant official approval, statement of comparability or recognition has not been secured by the application deadline, the applicant will be required to present evidence that, prior to entering into contract, they have initiated the official approval, comparability or recognition process. When a statement of comparability is submitted, it must be accompanied by the qualification certificate and the academic transcript on which the statement of comparability is based, in order to determine whether the relevant qualifications are indeed equivalent. In such cases, any supporting documents relating to the qualification that are in a language other than those with official status in the Valencia Region must be accompanied by a sworn translation; otherwise, the applicant may be excluded from the process.
2.3.Be a Spanish national or be in one of the situations listed in article 57 of Royal Legislative Decree 5/2015, of 30 October, which approves the revised text of the Act on the Basic Statute of Public Employees (BOE of 31 October). In the case established in point 4 of this article, when entering into the employment contract, the successful applicant must be a legal resident in Spain.
2.4. Have a good command of any of the official languages of the Valencia Region for the performance of the job.
2.5. Be at least 16 years of age and not exceed the maximum compulsory retirement age.
2.6. Possess the physical and mental capacities and aptitudes that are necessary for the performance of the corresponding functions or tasks.
2.7. Not have been dismissed by disciplinary proceedings from the service of any of the Public Administrations or of the constitutional or statutory bodies of the Spanish Autonomous Regions, nor have been totally or specially disqualified for public employment by a court decision, for access to the civil service, or to perform duties similar to those performed by non-tenured staff in public administrations, in which they had been dismissed or disqualified. Nationals of another State must not be in a situation of disqualification or equivalent, nor have been subjected to a disciplinary or equivalent sanction that prevents, under the same terms, access to public employment in the relevant State.
If an applicant, at any point during and before the completion of the recruitment process, no longer meets all the necessary conditions, they will be required to file a request to withdraw from the process. Otherwise, as soon as it is detected that they do not comply with all the requirements, they will be excluded from the process.
Third. Submission of applications.
By submitting their application, candidates confirm that the information provided in the application is true and that they meet all the requirements set out in the call for applications. They also undertake to provide proof that the information contained in the application is true and correct.
Holders of a foreign qualification must provide both the official qualification certificate and the official academic transcript, in order to determine whether the qualification is indeed equivalent to the required qualification and/or the one to be considered for the merit-based assessment.
Any supporting documents submitted in a language other than those with official status in the Valencia Region must be accompanied by a sworn translation. Otherwise, said supporting documents may be excluded or not considered.
Merits for which no valid proof has been provided by the deadline for candidates to correct their applications after publication of the provisional list of accepted and rejected candidates (fourth section of the call) will not be taken into account.
At any point during the process, candidates may be required to present the originals of the submitted documents and, where applicable, the sworn translation of said documents.
Fourth. List of accepted and rejected candidates:
If at any point during the recruitment process the panel becomes aware that a candidate does not meet all the requirements set out herein, and once said candidate has been heard, the panel will propose to the University President that the candidate be excluded from the process. In order to ensure that the appropriate measures are taken, the panel will also specify the inaccurate or false information provided by the candidate in their application. Should the candidate be excluded from the recruitment process, they may file an appeal for the decision to be reviewed by the University President.
Sixth. Two-stage selection system:
Sixth. Two-stage selection system:Merit-based assessment and personal interview. The interview may be recorded. The score awarded for the interview, which is mandatory, will range from 0 to 2.
Applicants of Spanish nationality must prove their identity by presenting their Spanish ID, passport, driving licence or, where applicable, a document issued by a police station that contains their Spanish ID number. Applicants who are not Spanish nationals must prove their identity by presenting a document issued by the relevant authorities of their country of origin or residence; the document must be a valid proof of identity, age and nationality. Copies or photocopies of said documents are not accepted under any circumstances.
The interview will be suspended if the University of Alicante issues a red weather warning; therefore, candidates are advised to check the UA website for the latest updates on weather warnings. For information purposes, any measures adopted will be published (in advance if possible) in the candidate’s electronic file as well as on the web page of the recruitment process.
The panel may decide to create a talent pool including candidates whose applications were unsuccessful, in accordance with section 1.4 of this call for applications.
ANNEX I
PURPOSE OF CALL I-PI 11-26 AND JOB PROFILE
Project PID2023-149562OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by the ERDF-EU
This project is carried out in accordance with Order CIN/1025/2022, of 27 October, which approves the regulatory basis for the award of public funding under various programmes and subprogrammes of the State Plan for Scientific and Technical Research and Innovation 2021-2023, managed by the Spanish State Research Agency, according to the procedure for the accelerated implementation of funding programmes, for the year 2023, targeted at “Knowledge Generation Projects” and pre-doctoral research staff training actions associated with these projects, in the framework of the State Plan for Scientific and Technical Research and Innovation 2021-2023.
1. First project in which the successful applicant will collaborate:
1.1. Name of the project: “Personalised treatment of obesity through learning and the analysis of a multimodal space of this condition with an integrated approach, Tech4D-Person”.
1.2. Reference: PID2023-149562OB-I00.
1.3. Funding agency: Spanish Ministry of Science, Innovation and Universities – Spanish State Research Agency.
1.4. Co-funding agency: ERDF-EU.
1.5. Dept. / Institute: Department of IT and Computing.
1.6. Line of research: “Markers determining health and risk of disease”.
2. Number of vacancies and features of the job vacancy.
2.1. Number of job vacancies: one.
2.2. Job position:assistant researcher.
2.3. Working hours: 37.5 hours/week in morning/afternoon sessions.
2.4. Remuneration: €1,644 gross/monthly (each monthly payment includes the amount corresponding to the extra payment for that month).
2.5. Tasks to be carried out:
Developing deep learning methods for processing multimodal data and data for analysing temporal information.
Developing computer vision algorithms with 2D, 3D and RGBD data.
3. Job profile
Preference will be given to those with:
3.1. Experience and training related to the tasks listed in section 2 of this annex, as well as to:
Analysis of the state of the art in informed machine learning methodologies applied to computer vision.
Application and validation of the developed methodologies in imaging analysis cases in biology.
Machine and deep learning techniques and models: convolutional neural networks (CNNs), vision transformers (ViTs), multimodal CLIP models, contrastive learning, natural language processing (NLP), attention mechanisms, variational autoencoders (VAEs), large language models (LLMs), k-nearest neighbours (k-NN), support vector classifier (SVC), random forest, k-means clustering and principal component analysis (PCA).
Use of software version control systems (Git, GitHub).
Use of deep learning frameworks (PyTorch, TensorFlow and Keras).
Basic knowledge of languages and tools for technical documentation, report generation and visualisation of results (HTML, CSS and Markdown).
Use of databases of scientific literature (Scopus).
3.2. Knowledge of English.
3.3. Knowledge of Catalan.
3.4. Qualification:Official Master’s degree in Artificial Intelligence (Spanish MECES level 3 or EQF level 7)or any other official Master’s degree with equivalent content.
Please note that you must use the University of Alicante's standard CV format https://s.ua.es/es/nSdB for Project-based Research and Technical Staff Recruitment, which is mandatory and is available at the following address on the University's website: https://s.ua.es/es/nlJf It must be attached in the section ‘Modelo currículum’.
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