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Project sheet

Name

Assistant Researcher in Urban Energy and Environmental Modelling

Total project amount

82,25 thousand €

Amount paid

82,25 thousand €

Non-refundable funding

82,25 thousand €

Loan funding

0 €

Start date

01.04.2025

Expected end date

31.03.2026

Dimension

Resilience

Component

Qualifications and Skills

Investment

Science Plus Training

Operation code

02/C06-i06/2024.P2023.15700.TENURE.013

Summary

The proposed position aims to leverage the strong research track that IST, through its Environment and Energy scientific area at the Department of Mechanical Engineering, in partnership with LARSyS, in the design of Urban Digital Twins as a new way of accelerating urban climate neutrality, as introduced by the EU Mission Board on Climate Neutral and Smart Cities.This position will be critical to consolidate the leadership of IST in Urban Digital Twins (UDT), by integrating existing capacity in the building sector transformation with emerging transitions in urban mobility, and the renewables-based energy communities. The scientific advancements to be promoted should contribute to the reformation of the energy sector towards a decentralized, decarbonized and consumer-centric service-oriented operational mode, empowered by the digitalization of all aspects of network operations and business processes. As the share of intermittent and decentralized resources for local energy generation increases, the need for a paradigm shifts towards a market where consumption follows production becomes clearer. UDTs of the household energy consumers to be developed will embody all additional features that mark a leap forward from what is now considered state-of-the-art in energy digitalization at household level: interoperability, high level of interaction with the users, access to a wide set of data beyond purely energy data and capability for predictive analytics and speculative execution (simulation) of scenarios in a virtual representation of the actual household, including mobility services. It is envisioned that UDT-based applications will be the catalyst for the holistic upgrade of existing services and the pathway for new cross-sectoral services benefiting end users, public and private actors.To realize the full potential of UDTs and turn their rich opportunities for new services into reality, there are a number of challenges that need to be overcome, and to which this researcher should contribute. First of all, the driving force of DTs is data associated with users’ activities. Unless household occupants are convinced to actively engage with DTs, the availability of data cannot be taken for granted. For this to happen, it is necessary, though not sufficient, to devise proper secure methods for private and sensitive data acquisition and sharing. Secondly, there are technological challenges of DT deployment mainly associated with the modelling of a) the resources and processes needed for buildings’ design and construction, b) the surrounding natural and physical environment, c) the coupled systems and their components, d) occupancy and e) the overall dynamic and non-linear interactions of buildings with users and the environment.A main challenge to be addressed in the advancement of the state-of-the-art in UDTs is to promote the articulation between buildings with mobility. The implementation of the UDTs will require virtual modeling, sensor network integration, data analytics, and a stakeholder layer. The implementation of this UDT concept may require new processes, methods, and novel platforms to interact with each of these modules. This opens the opportunity for  UDTs  to capture the complex-and-dynamic relationships of different components at neighborhood level, which allows new levels of analysis of complex environments. This will promote a better understanding on how inhabitants change their mobility behavior in response to the increase of EV numbers, the impact of distributed PV installation on local network and storage systems, as well as local electricity market via different business models.This will clearly harness new capacities in this field offered through data science, machine learning, and massive remote and proximal sensing, benefiting from the overall research environment in these fields provided by LARSyS. The prospective employee should be capable of harnessing the capacities, develop new tools and methods and apply them in real world situations, in collaboration with private sector and public administration actors, including a contribution to the development and evaluation of public policies.Talented researchers have been previously identified through a systematic scouting process and will also be ensured through the wide dissemination of the call for the position.

Beneficiaries

Within the scope of the Recovery and Resilience Plan, two types of beneficiaries are responsible for carrying out the projects and using the funding provided. Due to their similar role, the reference to these two types of beneficiaries has been simplified and unified under the term "Beneficiary".
The two types are::
  • Direct Beneficiaries are those whose funding and projects to implement are part of the Recovery and Resilience Plan that has been negotiated and approved by the European Union;
  • Final Beneficiaries are those whose funding and projects to implement are approved following a selection process through Calls for Applications.

Call for applications

As part of the Call for Applications, submissions are requested to select the projects and final beneficiaries to whom funding will be awarded. Specific selection criteria are defined for each call, which must be reflected in the applications submitted and assessed.

The project is appraised on the basis of its compliance with the selection criteria laid down in the calls for applications, and a final score may be awarded, where applicable.

Final evaluation score

8,8
Important note

The components for calculating the assessment score can be found in the selection criteria document mentioned below.

Selection criteria

The funding selection criteria to which this project and its final beneficiary were subject and its score can be found in detail on the Recuperar Portugal platform.

Beneficiaries

Intermediate beneficiaries

Beneficiaries

Procurement

Beneficiaries representing public entities implement their project by signing one or more contracts with suppliers for goods or services through public procurement procedures.

To ensure and provide the utmost transparency in all these contracts, a list of the contracts that were signed under this project is available here, along with the information available on the Base.Gov platform. Please note that, according to the legislation in force at the time the contract was signed, some exceptions do not require the publication of the contracts signed on this platform, and, therefore, no information is available in such cases.

Geographic distribution

82,25 thousand €

Total amount of the project

Percentage of the amount already paid for implementing projects

, 100 %,

Where was the money spent

By county

1 county financed .

  • Lisboa 82,25 thousand € ,
Source EMRP
10.02.2026
All themes
Transparency without leading