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ppOrganisation/Company Universidad Politecnica de Cartagena Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Jul 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 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 /p h3Offer Description /h3 pbTECHNICAL UNIVERSITY OF CARTAGENA /b, A CALL FOR APPLICATIONS IS ANNOUNCED FOR THE HIRING OF SCIENTIFIC AND TECHNICAL STAFF GROUP II TECHNICAL SUPPORT STAFF IN THE RESEARCH AREA OF DESIGN AND DEVELOPMENT OF DECT NR+ COMMUNICATIONS IN AGRICULTURE. DEVELOPMENT OF DIGITAL TWINS AND AI MODULES FOR OPTIMIZATION (CODE: C-028/26). /p pbDeadline for submission of applications: /b July 28. /p pbTYPE OF CONTRACT: /b Indefinite. /p pbPROFESSIONAL CATEGORY: /b GROUP II. University Graduate. /p pbREQUIRED QUALIFICATION: /b Bachelor's degree in Telecommunications Systems Engineering. /p pFor degrees obtained abroad (including those from the EU), applicants must provide proof that they have obtained the corresponding recognition or, where applicable, the credential attesting to the equivalence of their degree. /p pbWEEKLY DEDICATION: /b The position will be full time, and the workweek will be 35 hours, carried out from Monday to Friday, from 9h to 14h and from Monday to Thursday also from 16h to 18h30. /p pbGROSS ANNUAL REMUNERATION: /b The employee will receive an annual gross salary of 26.071,36 euros. /p pbPROJECT TITLE: /b Design and Development of DECT NR+ Communications for Agriculture. Development of Digital Twins and AI Modules for Optimization. /p pbDURATION: /b The term of this contract will be contingent upon the availability of budgetary funds for the aforementioned line of research. /p pCurrent RDI activity: /p p“Feasibility Study for Mesh Wireless Networks Based on the DECT 2020 NR+ Standard,” reference 7840/23TIC, funded by OSTFALIA UNIVERSITY OF APPLIED SCIENCES. Budget line .B124 541A 643.10 (code: 2023/00218/001). /p pbINTENDED DATE OF DEPUTY EMPLOYMENT: /b from 14/09/2026 on. /p h3Tasks to be carried out: /h3 ol liT1. Review and monitoring of the state of the art regarding advances in the parameterization of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT2. Comprehensive review of the state of the art in extended reality technologies for the representation of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT3. Monitoring of non-hydroponic/hydroponic agrivoltaic greenhouses via IoT networks. /li liT4. Design and implementation of a configurable control panel for digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT5. Evaluation of the configurable digital twin in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT6. Design and implementation of an extended reality representation of the digital twin for the hydroponic agrivoltaic greenhouse. /li liT7. Evaluation of the extended reality system in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT8. Artificial Intelligence Module for Improving the Performance of the Crop/Energy Duality in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT9. Testing and Validation of the Complete System. Optimization of Greenhouse Operations. /li liT10. Dissemination of Results. /li /ol pbPLACE OF WORK: /b Felipe Hall Laboratory. ETSIT. Antiguones Building. /p h3Merits to be assessed and evaluation criteria: /h3 ul liAcademic Background (45%): the academic transcript corresponding to the degree required for admission to the position will be evaluated, as well as the university coursework for the Master’s in Telecommunications Engineering. /li liSpecific Training (15%): - Specialization in Data and AI: courses in Python, Artificial Intelligence, Data Science - Development and optimization of 3D digital models, Design and Development of point clouds, Virtual Reality models - Support for project proposals. /li liProfessional experience (10%): - Development of 3D digital models. - IoT Sensors and Communications, focused on environmental quality. /li liLanguages (5%): B2 certificate or higher. /li liOther qualifications (5%): work experience related to the job profile will be considered. /li /ul /p #J-18808-Ljbffr

Organisation/Company Universidad Politecnica de Cartagena Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Jul 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 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? NoOffer DescriptionTECHNICAL UNIVERSITY OF CARTAGENA, A CALL FOR APPLICATIONS IS ANNOUNCED FOR THE HIRING OF SCIENTIFIC AND TECHNICAL STAFF GROUP II TECHNICAL SUPPORT STAFF IN THE RESEARCH AREA OF DESIGN AND DEVELOPMENT OF DECT NR+ COMMUNICATIONS IN AGRICULTURE. DEVELOPMENT OF DIGITAL TWINS AND AI MODULES FOR OPTIMIZATION (CODE: C-028/26).Deadline for submission of applications: July 28.TYPE OF CONTRACT: Indefinite.PROFESSIONAL CATEGORY: GROUP II. University Graduate.REQUIRED QUALIFICATION: Bachelor's degree in Telecommunications Systems Engineering.For degrees obtained abroad (including those from the EU), applicants must provide proof that they have obtained the corresponding recognition or, where applicable, the credential attesting to the equivalence of their degree.WEEKLY DEDICATION: The position will be full time, and the workweek will be 35 hours, carried out from Monday to Friday, from 9h to 14h and from Monday to Thursday also from 16h to 18h30.GROSS ANNUAL REMUNERATION: The employee will receive an annual gross salary of 26.071,36 euros.PROJECT TITLE: Design and Development of DECT NR+ Communications for Agriculture. Development of Digital Twins and AI Modules for Optimization.DURATION: The term of this contract will be contingent upon the availability of budgetary funds for the aforementioned line of research.Current R&D&I activity:“Feasibility Study for Mesh Wireless Networks Based on the DECT 2020 NR+ Standard,” reference 7840/23TIC, funded by OSTFALIA UNIVERSITY OF APPLIED SCIENCES. Budget line 30.05.18.B124 541A 643.10 (code: 2023/00218/001).INTENDED DATE OF DEPUTY EMPLOYMENT: from 14/09/2026 on.Tasks to be carried out:1. T1. Review and monitoring of the state of the art regarding advances in the parameterization of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses.2. T2. Comprehensive review of the state of the art in extended reality technologies for the representation of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses.3. T3. Monitoring of non-hydroponic/hydroponic agrivoltaic greenhouses via IoT networks.4. T4. Design and implementation of a configurable control panel for digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses.5. T5. Evaluation of the configurable digital twin in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse.6. T6. Design and implementation of an extended reality representation of the digital twin for the hydroponic agrivoltaic greenhouse.7. T7. Evaluation of the extended reality system in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse.8. T8. Artificial Intelligence Module for Improving the Performance of the Crop/Energy Duality in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse.9. T9. Testing and Validation of the Complete System. Optimization of Greenhouse Operations.10. T10. Dissemination of Results.PLACE OF WORK: Felipe Hall Laboratory. ETSIT. Antiguones Building.Merits to be assessed and evaluation criteria:- Academic Background (45%): the academic transcript corresponding to the degree required for admission to the position will be evaluated, as well as the university coursework for the Master’s in Telecommunications Engineering.- Specific Training (15%): - Specialization in Data and AI: courses in Python, Artificial Intelligence, Data Science - Development and optimization of 3D digital models, Design and Development of point clouds, Virtual Reality models - Support for project proposals.- Professional experience (10%): - Development of 3D digital models. - IoT Sensors and Communications, focused on environmental quality.- Languages (5%): B2 certificate or higher.- Other qualifications (5%): work experience related to the job profile will be considered.#J-18808-Ljbffr

ppOrganisation/Company Universidad Politecnica de Cartagena Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Jul 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 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 /p h3Offer Description /h3 pbTECHNICAL UNIVERSITY OF CARTAGENA /b, A CALL FOR APPLICATIONS IS ANNOUNCED FOR THE HIRING OF SCIENTIFIC AND TECHNICAL STAFF GROUP II TECHNICAL SUPPORT STAFF IN THE RESEARCH AREA OF DESIGN AND DEVELOPMENT OF DECT NR+ COMMUNICATIONS IN AGRICULTURE. DEVELOPMENT OF DIGITAL TWINS AND AI MODULES FOR OPTIMIZATION (CODE: C-028/26). /p pbDeadline for submission of applications: /b July 28. /p pbTYPE OF CONTRACT: /b Indefinite. /p pbPROFESSIONAL CATEGORY: /b GROUP II. University Graduate. /p pbREQUIRED QUALIFICATION: /b Bachelor's degree in Telecommunications Systems Engineering. /p pFor degrees obtained abroad (including those from the EU), applicants must provide proof that they have obtained the corresponding recognition or, where applicable, the credential attesting to the equivalence of their degree. /p pbWEEKLY DEDICATION: /b The position will be full time, and the workweek will be 35 hours, carried out from Monday to Friday, from 9h to 14h and from Monday to Thursday also from 16h to 18h30. /p pbGROSS ANNUAL REMUNERATION: /b The employee will receive an annual gross salary of 26.071,36 euros. /p pbPROJECT TITLE: /b Design and Development of DECT NR+ Communications for Agriculture. Development of Digital Twins and AI Modules for Optimization. /p pbDURATION: /b The term of this contract will be contingent upon the availability of budgetary funds for the aforementioned line of research. /p pCurrent RDI activity: /p p“Feasibility Study for Mesh Wireless Networks Based on the DECT 2020 NR+ Standard,” reference 7840/23TIC, funded by OSTFALIA UNIVERSITY OF APPLIED SCIENCES. Budget line .B124 541A 643.10 (code: 2023/00218/001). /p pbINTENDED DATE OF DEPUTY EMPLOYMENT: /b from 14/09/2026 on. /p h3Tasks to be carried out: /h3 ol liT1. Review and monitoring of the state of the art regarding advances in the parameterization of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT2. Comprehensive review of the state of the art in extended reality technologies for the representation of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT3. Monitoring of non-hydroponic/hydroponic agrivoltaic greenhouses via IoT networks. /li liT4. Design and implementation of a configurable control panel for digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT5. Evaluation of the configurable digital twin in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT6. Design and implementation of an extended reality representation of the digital twin for the hydroponic agrivoltaic greenhouse. /li liT7. Evaluation of the extended reality system in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT8. Artificial Intelligence Module for Improving the Performance of the Crop/Energy Duality in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT9. Testing and Validation of the Complete System. Optimization of Greenhouse Operations. /li liT10. Dissemination of Results. /li /ol pbPLACE OF WORK: /b Felipe Hall Laboratory. ETSIT. Antiguones Building. /p h3Merits to be assessed and evaluation criteria: /h3 ul liAcademic Background (45%): the academic transcript corresponding to the degree required for admission to the position will be evaluated, as well as the university coursework for the Master’s in Telecommunications Engineering. /li liSpecific Training (15%): - Specialization in Data and AI: courses in Python, Artificial Intelligence, Data Science - Development and optimization of 3D digital models, Design and Development of point clouds, Virtual Reality models - Support for project proposals. /li liProfessional experience (10%): - Development of 3D digital models. - IoT Sensors and Communications, focused on environmental quality. /li liLanguages (5%): B2 certificate or higher. /li liOther qualifications (5%): work experience related to the job profile will be considered. /li /ul /p #J-18808-Ljbffr

ppOrganisation/Company Universidad Politecnica de Cartagena Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application Deadline 28 Jul 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 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 /p h3Offer Description /h3 pbTECHNICAL UNIVERSITY OF CARTAGENA /b, A CALL FOR APPLICATIONS IS ANNOUNCED FOR THE HIRING OF SCIENTIFIC AND TECHNICAL STAFF GROUP II TECHNICAL SUPPORT STAFF IN THE RESEARCH AREA OF DESIGN AND DEVELOPMENT OF DECT NR+ COMMUNICATIONS IN AGRICULTURE. DEVELOPMENT OF DIGITAL TWINS AND AI MODULES FOR OPTIMIZATION (CODE: C-028/26). /p pbDeadline for submission of applications: /b July 28. /p pbTYPE OF CONTRACT: /b Indefinite. /p pbPROFESSIONAL CATEGORY: /b GROUP II. University Graduate. /p pbREQUIRED QUALIFICATION: /b Bachelor's degree in Telecommunications Systems Engineering. /p pFor degrees obtained abroad (including those from the EU), applicants must provide proof that they have obtained the corresponding recognition or, where applicable, the credential attesting to the equivalence of their degree. /p pbWEEKLY DEDICATION: /b The position will be full time, and the workweek will be 35 hours, carried out from Monday to Friday, from 9h to 14h and from Monday to Thursday also from 16h to 18h30. /p pbGROSS ANNUAL REMUNERATION: /b The employee will receive an annual gross salary of 26.071,36 euros. /p pbPROJECT TITLE: /b Design and Development of DECT NR+ Communications for Agriculture. Development of Digital Twins and AI Modules for Optimization. /p pbDURATION: /b The term of this contract will be contingent upon the availability of budgetary funds for the aforementioned line of research. /p pCurrent RDI activity: /p p“Feasibility Study for Mesh Wireless Networks Based on the DECT 2020 NR+ Standard,” reference 7840/23TIC, funded by OSTFALIA UNIVERSITY OF APPLIED SCIENCES. Budget line .B124 541A 643.10 (code: 2023/00218/001). /p pbINTENDED DATE OF DEPUTY EMPLOYMENT: /b from 14/09/2026 on. /p h3Tasks to be carried out: /h3 ol liT1. Review and monitoring of the state of the art regarding advances in the parameterization of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT2. Comprehensive review of the state of the art in extended reality technologies for the representation of digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT3. Monitoring of non-hydroponic/hydroponic agrivoltaic greenhouses via IoT networks. /li liT4. Design and implementation of a configurable control panel for digital twins in non-hydroponic/hydroponic agrivoltaic greenhouses. /li liT5. Evaluation of the configurable digital twin in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT6. Design and implementation of an extended reality representation of the digital twin for the hydroponic agrivoltaic greenhouse. /li liT7. Evaluation of the extended reality system in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT8. Artificial Intelligence Module for Improving the Performance of the Crop/Energy Duality in the non-hydroponic/hydroponic agrivoltaic pilot greenhouse. /li liT9. Testing and Validation of the Complete System. Optimization of Greenhouse Operations. /li liT10. Dissemination of Results. /li /ol pbPLACE OF WORK: /b Felipe Hall Laboratory. ETSIT. Antiguones Building. /p h3Merits to be assessed and evaluation criteria: /h3 ul liAcademic Background (45%): the academic transcript corresponding to the degree required for admission to the position will be evaluated, as well as the university coursework for the Master’s in Telecommunications Engineering. /li liSpecific Training (15%): - Specialization in Data and AI: courses in Python, Artificial Intelligence, Data Science - Development and optimization of 3D digital models, Design and Development of point clouds, Virtual Reality models - Support for project proposals. /li liProfessional experience (10%): - Development of 3D digital models. - IoT Sensors and Communications, focused on environmental quality. /li liLanguages (5%): B2 certificate or higher. /li liOther qualifications (5%): work experience related to the job profile will be considered. /li /ul /p #J-18808-Ljbffr

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