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Project sheet

Name

Associate Professor in Operations Research and Optimization

Total project amount

139,21 thousand €

Amount paid

0 €

Non-refundable funding

139,21 thousand €

Loan funding

0 €

Start date

01.02.2025

Expected end date

31.03.2026

Dimension

Resilience

Component

Qualifications and Skills

Investment

Science Plus Training

Operation code

02/C06-i06/2024.P2023.15441.TENURE.041

Summary

The selected candidate needs to have a strong background in discrete/combinatorial optimization as well as in integer linear programming, polyhedral theory, network flows and graph theory.Besides a good background in discrete/combinatorial optimization, and in order for the OR group to grow and deal with emerging and topical areas of optimization, the selected candidate must be acquainted with (that is, to have published in) the area of robust optimization which extends the area of discrete optimization to model worst-case scenarios. Robust optimization is relevant in many areas arising in real world applications such as logistics, schedule in healthcare and fire management.In addition, it is expected that the selected candidate collaborates with other members of the OR group in the study of valid inequalities and extended formulations for discrete robust optimization problems, and the study of pertinent robust variants of problems being investigated in the group, such as logistic problems, healthcare scheduling and forest management.The selected candidate should also participate, and in some cases coordinate, knowledge transfer projects for the productive sector that the Department or research unit intends to continue to establish with various companies and/or institutions. This has been a practice developed for many years, but due to the departure of some members, it has been less active.Past and current collaborations are with the Portuguese Navy, and several public or private hospitals, such as INEM, PORTUCEL, REFER, UNICER.The CV of the selected candidate needs to include a list of high-level publications in the target area as well as membership in international research networks. The selected candidate is expected to form a research pole that would attract scientists from abroad for research collaboration, and to be active in the organization of conferences in her/his area of expertise. Relevant supervision experience of graduate students, enrolment on scientific activities with the industry and society, and experience in editorial roles will also be welcome. Experience in writing grant proposals to secure funding for future research initiatives will be much valued.In the department, the candidate will be expected to teach courses in the area of Operations Research, and Discrete Optimization the Master’s and in specialized courses in the PhD program in line with the scientific culture of excellence promoted by CMAFcIO. It is relevant to have his/her contribution in supervising Master´s and PhD students not only for her/his specific competences, but above all to attract and fix new students.Also, and since this is a position of Associate Professor, the selected candidate will also be invited to join departmental and faculty duties such as coordinating cycles or even being a member of the scientific council. Moreover, she/he will be in charge of academic responsibilities (at the department or faculty level) and be part of decision making.

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

9,8
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

139,21 thousand €

Total amount of the project

Where was the money spent

By county

1 county financed .

  • Lisboa 139,21 thousand € ,
Source EMRP
10.02.2026
All themes
Transparency without leading