Software Developer for Energy Modelling - Geoinformatics

IREC - Institut de Recerca en Energia de Catalunya; Barcelona; On-site; EUR 45,000 - 65,000; Full time

Job summary

IREC - Institut de Recerca en Energia de Catalunya is seeking a High-skilled Recognised Researcher/ Project Engineer to advance data analytics and energy modelling for residential buildings and Local Energy Communities. You will develop Python-based analytics, handle data pipelines and contribute to EU projects within smart city initiatives.

The role requires a strong background in data science, programming in Python/Java/R, and experience with urban energy models like UBEM.

Qualifications

• Master's degree in data science or related field.
• At least 3 years of experience in data science, IT science or energy topics.
• Advanced programming knowledge in Python, Java and R.
• Experience with Python data tools NumPy, SciPy and Scikit-learn.
• PostGIS/PostgreSQL knowledge.
• Knowledge of APIs (FastAPI) and distributed task processing systems.
• Experience with AI-based programming techniques.

Responsibilities

• Contribute to data analytics and algorithm development for energy and buildings engineering.
• Develop codes for dynamic simulations of buildings in smart infrastructures.
• Work on EU projects such as LIFE REAHUB and SOSS4EREC.
• Prepare technical reports and contribute to scientific publications.
• Collaborate across disciplines and manage R&I work packages.

Skills

Python

Java

R

NumPy

SciPy

Scikit-learn

Data Science

FastAPI

Distributed systems

AI techniques

Education

Master in Data Science

Master in Geo-informatics

Master in Computer Science

Master in Urban Analytics

Master in Smart Cities

Tools

PostGIS

PostgreSQL

FastAPI

QGIS

Rhino

Grasshopper

CityGML

3D City Database

Job description

The Climate Neutral and Resilient Buildings & Communities (REACT) Group announces a position of High-skilled Recognised Researcher/ Project Engineer (R2-Pre-Consolidated) in the field of Building to municipality & Energy Modelling with significant knowledge and experience in Python developments, Data engineering, Procedural Modeling. The work will be embedded in the Climate Neutral and Resilient Buildings & Communities Group which main research subjectis the integrated and systemicapproach towards positiveenergy buildings and communities. The group’s vision is to investigate in solutions and strategies that accelerates the reduction of greenhouse gas emissions in the building sector through human-centred design, energy efficiency measures, integration and management of energy systems, particularly distributed renewable sourcesin the built environment as part of urban communities.

The candidate will participate as Full Stack developer with specific capabilities on data analytics & algorithm development in the subject matter of energy & buildings engineering to contribute on technical work of research projects accounting for different levels of energymodels for the built Environment and integration in computational tools. Activities where he/she will be involvedare programming of codes appliedto dynamic simulation of buildings integrated in smart infrastructures. Focus will be in residential building stock, Local Energy Communities and UBEM (Urban Building Energy Models). The candidate will work in EU international projects within the subject of Retrofitting of Buildings, Positive Energy Districts and Local Energy Communities. Self-sufficiency on algorithm developments with demonstrated knowledge on programming methods will be a core task. Properlyelaboration of reporting report,independent management of work packagesand tasks on R&I projectsand collaboration in articles for scientific publication will be also carried out. He/she will smoothly start working in several EU projects such as LIFE REAHUB and SOSS4EREC, as well in other national and internal projects.

Qualifications and experiencerequired:

• Master Sciences Degree in Data Science/ Geo-informatics / Computer Science/ Urban Analytics/ Smart Cities
• Atleast 3 years of experience in professional/research projectsin Data Science,IT Science and/orEnergy related topics.
• Advanced knowledge in programming languages: Python, Java, R.
• Experience in data science tools: Python (NumPy, SciPy), R, Scikit-learn.
• Advanced knowledge in PostGresSQL + PostGis.
• Knowledge of Synchronous & Asynchronous API Endpoints (FastAPI)
• Expertise in configuring and maintaining of distributed task processing systems
• Oriented experience on AI based programming techniques and tools.

Preferred:

• Knowledge in time series data analysis methodsand tools.
• Knowledge of CityGML information system and 3D City Database for CityGML.
• Knowledge in GIS-tools(e.g, QGIS, ARCGIS).
• Knowledge of Rhinoceros, Grasshopper.
• Basic knowledge in emerging Large LanguageModels
• Knowledge of Indoor Environmental Quality and/or Energy Topics
• Knowledge on basic economic science concepts
• Initiative in Research and Innovation.

Personal skills:

• Motivated professional
• Passion for energyefficiency and sustainability in the built environment.
• Self-sufficiency and capacity to integrate in consolidated team.
• Collaborative working-approach.
• Experience as a collaborator within different skills and disciplines applied to the projects.
• Drive for excellence and result-focus, listening and analytical skills.

Offer of job position:

We offer a Recognised Researcher/ Project Engineer (R2.1 pre-Consolidated) positionin the frame of the REAHUB and SOSS4EREC LIFE projects. Estimated entry level R2.1.2.

Salaries will be paid in accordancewith the IREC’s salary policy, depending on the candidate’s qualification and professional experience.

“Funded by the EuropeanUnion. Views and opinions expressed are however those of the author(s)only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor the granting authority can be held responsible for them.”