Applications are invited by the UNIVERSITY OF ALICANTE PRESIDENT for an open-ended contractual assistant technologist position to collaborate with the funded research line 'Development of IoT-based systems and computer vision'.
Reference: I-PAS-54/24.
In accordance with the provisions of the regulations governing calls for applications of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , the University of Alicante calls for applications to cover a job position in accordance with the following terms and conditions: First.
Number of vacancies and features of the job vacancy Number of job vacancies: one.
Job position: Assistant Technologist.
Funded line of research: 'Development of IoT-based systems and computer vision'.
Working hours: part-time commitment (15 hours per week) in morning/afternoon sessions.
Remuneration: €504.47 gross/monthly plus two extra payments of the same amount as the monthly remuneration, or a proportional part for periods of less than one year.
Second.
First project in which the successful applicant will collaborate Name of the project: 'Vision Assistance Prototype (PAV-UA) for the University of Alicante'.
At the end of the duration of this first project or its budgetary availability, the successful applicant may join other projects belonging to the same line of research funded.
Dept.
/ Institute: University of Alicante Office of the Vice President for Digital Transformation.
Tasks to be carried out: Generation of a dataset suitable for the objectives of the project.
Carrying out experimental tests for prototyping and validating the developed system.
Any other technical support task related to the job position that may arise from the execution of the project.
Third.
Scale to be applied according to the job profile Official academic qualifications (Up to 2 points): The following qualifications will be considered for this job vacancy: Advanced Technical/Vocational Studies (Spanish MECES level 1 or EQF level 5) in Multiplatform Applications Development; in Telecommunications and Computer Systems, or any other official degree with equivalent curricular content.
Experience (maximum 3 points): performance of tasks and activities, by means of an employment contract, in any field or administrative relationship, excluding teaching activities, will be assessed at the rate of 1 point per full year, or a proportional part per full month for periods of less than a year, related to the tasks described in section second of this call for applications and to: Sistemas IoT Deep Learning Visión por computador Additional education (maximum 3 points): Qualifications related to the tasks described in section second and to the ones mentioned below will be considered: Sistemas IoT Deep Learning Visión por computador Knowledge of English (maximum 1 point): Only levels higher than the one required in section four of the call for applications will be assessed.
Knowledge of Catalan (maximum 1 point): as established in the regulations establishing the Catalan language certificates issued by the University of Alicante Languages Service.
Fourth.
Requirements for applicants Hold a technical diploma or equivalent, or have passed university entrance examinations for over-25s.
Have Spanish nationality or be in one of the situations listed in article 57 of Royal Legislative Decree 5/2015.
Have a good command of any of the official languages of the Valencia Region for the performance of the job.
Be at least 16 years of age and not be over the maximum age for compulsory retirement.
Possess the physical and mental capacities necessary for the performance of the relevant duties and tasks.
Not be disqualified by final judgement or as a result of having been dismissed for disciplinary reasons to perform duties similar to those of the relevant professional category.
Full terms and conditions of this call can be found at the following link (IN SPANISH): https://ssp.ua.es/es/selecinvest/04-personal-tecnico/2024/pas54/convocatoria-i-pas-54-24-dogv-es.pdf #J-18808-Ljbffr