Research Support Specialist Technician
Hace 11 horas
Girona, Cataluña, España
Universitat Autònoma de Barcelona
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Organisation/Company Universitat Autònoma de Barcelona Department Research Management/Strategic Projects Research Field Computer science » Informatics Researcher Profile Other Profession Positions Research Support Positions Application Deadline 22 Oct 2026
- 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded through the EU Research Framework Programme? Horizon Europe
- ERC Reference Number HERC-2021-COG, no. 101043738-DEMODRIVERS Is the Job related to staff position within a Research Infrastructure? No Offer Description Job position T/AI Tecnichian. We are seeking a candidate for an IT technician position to join the research team of the ERC Consolidator project DEMODRIVERS. The selected candidate will be responsible for carrying out tasks related to phytolith identification using artificial intelligence. The technician will supervise the use of the Olympus VS200 slide scanner microscope and will be in charge of image processing, AI model training, and the maintenance and optimization of code developed by DEMODRIVERS. Job position requirements (skills/languages/required experience)
Education:
Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline. AI & Machine Learning: Strong background in AI model training, computer vision, image processing, and classification pipelines. Technical
Skills:
Proficiency in Python, deep learning frameworks (specifically PyTorch), and convolutional neural networks (CNNs) for image classification.
Experience:
Prior hands-on experience developing and deploying AI models for object identification or detection tasks. Languages: Professional working proficiency in both English and Spanish (written and spoken). Eligibility criteria
* Academic record (35) Higher-level professional training (FP2), middle-grade training cycle, bachelor's degree or equivalent qualification 15; Batxillerat in Sciences, Computer Science or Engineering 35
* Experience (35) > 2 years 35; < 2 years 15
* Language skills (10) Spanish C2 5; English C1 5; B2 3; B1 1
* Motivation (10)
* Interview (10) A single curricular phase and if a second interview is necessary for the pre-selected candidates through Teams within 15 days after the deadline, unless, in application of the agreement of February 1, 2019, the court proposes other actions, tests and/or interviews to be carried out. Programmes: ERC Consolidator Grant
- Drivers of Demographic Dynamics HERC-2021-COG, no. 101043738-DEMODRIVERS Any application that is not submitted in this way will not be included in the selection process. Any application that is not submitted in this way will not be included in the selection process. #J-18808-Ljbffr
- 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Part-time Hours Per Week 30 Is the job funded through the EU Research Framework Programme? Horizon Europe
- ERC Reference Number HERC-2021-COG, no. 101043738-DEMODRIVERS Is the Job related to staff position within a Research Infrastructure? No Offer Description Job position T/AI Tecnichian. We are seeking a candidate for an IT technician position to join the research team of the ERC Consolidator project DEMODRIVERS. The selected candidate will be responsible for carrying out tasks related to phytolith identification using artificial intelligence. The technician will supervise the use of the Olympus VS200 slide scanner microscope and will be in charge of image processing, AI model training, and the maintenance and optimization of code developed by DEMODRIVERS. Job position requirements (skills/languages/required experience)
Education:
Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline. AI & Machine Learning: Strong background in AI model training, computer vision, image processing, and classification pipelines. Technical
Skills:
Proficiency in Python, deep learning frameworks (specifically PyTorch), and convolutional neural networks (CNNs) for image classification.
Experience:
Prior hands-on experience developing and deploying AI models for object identification or detection tasks. Languages: Professional working proficiency in both English and Spanish (written and spoken). Eligibility criteria
* Academic record (35) Higher-level professional training (FP2), middle-grade training cycle, bachelor's degree or equivalent qualification 15; Batxillerat in Sciences, Computer Science or Engineering 35
* Experience (35) > 2 years 35; < 2 years 15
* Language skills (10) Spanish C2 5; English C1 5; B2 3; B1 1
* Motivation (10)
* Interview (10) A single curricular phase and if a second interview is necessary for the pre-selected candidates through Teams within 15 days after the deadline, unless, in application of the agreement of February 1, 2019, the court proposes other actions, tests and/or interviews to be carried out. Programmes: ERC Consolidator Grant
- Drivers of Demographic Dynamics HERC-2021-COG, no. 101043738-DEMODRIVERS Any application that is not submitted in this way will not be included in the selection process. Any application that is not submitted in this way will not be included in the selection process. #J-18808-Ljbffr