Scientific Research Fellowship (Bipd) 100/2026

University Of Algarve; Lisboa; On-site; EUR 21,000 - 27,000; Full time

Job summary

University of Algarve invites applications for 1 Postdoctoral Research Fellowship in Mathematics, within the R&D project monitoring water resources. The fellowship lasts 12 months with a start date in January 2027, potentially renewable up to 1/09/2029, under the supervision of Professor Clara Maria Henrique Cordeiro.

Candidates must hold a PhD and demonstrate strong skills in statistics, data science, and ML.

Qualifications

• Applicants must hold a doctoral degree in a related field.
• Proven expertise in computational statistics and machine learning is valued.
• Experience with Python and R, and development of methodological procedures, is preferred.

Skills

Computational statistics

Machine learning

Python

R

Algorithm development

Education

PhD or equivalent

Job description

Organisation/Company University of Algarve Research Field Mathematics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 6 Nov 2026 - 23:59 (Europe/London) Country Portugal Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number ALGARVE-FEDER-03866300 - MInA Is the Job related to staff position within a Research Infrastructure? No

Offer Description NOTICE NO. 100/2026

COMPETITION FOR THE AWARD OF A GRANT, IN ACCORDANCE WITH THE PROVISIONS OF THE RESEARCH GRANT REGULATIONS OFUALG

Title: 1 Postdoctoral Research Fellowship

A competition is open for the award of 1 Postdoctoral Research Fellowship within the scope of the R&D project/institution(Monitorização Inteligente da Água/ Universidade do Algarve), ALGARVE-FEDER-03866300 - MInA,fundedICDT ALGARVE 2030), under the following conditions:

Scientific Area : Mathematics.

Admission Requirements: Applicants must hold a doctoral degree, preferably in Statistics, Applied Mathematics, Data Science, Computer Science, or a related scientific field. Relevant research experience will be valued. Proven expertise and experience in computational statistics, machine learning, programming in R and/or Python, the development of methodological procedures, and the implementation of advanced algorithms will be considered preferential factors.

Taking into account paragraphs 1 and 2 of Article 7 of the Research Grants Regulations of the Foundation for Science and Technology or paragraphs 1 of Article 6of the University of the Algarve's Research Fellowship Regulations:

• Postdoctoral research fellowships, hereinafter referred to as BIPD, are intended to support R&D activities carried out by individuals holding a doctoral degree.
• BIPDs are time-limited in order to encourage scientific employment and the use of researcher contracts as the standard means of hiring, as well as to promote the development, within entities of the national science and technology system, of careers focused on scientific research.

Project Objectives: To develop and validate statistical and machine learning methods for analysing water consumption data, characterising consumption patterns, detecting anomalies and water losses, and forecasting demand, thereby contributing to the development of intelligent tools to support the sustainable management of water resources.

Workplace: The work will be carried out at the Department of Mathematics, Faculty of Sciences and Technology of the University of Algarve, under the scientific supervision of Professor Clara Maria Henrique Cordeiro.

Duration of grant(s): The grant will last12months, with the start date scheduled for January of 2027. The grant contract may be renewed until 1/09/2029, taking into account the University of Algarve Research Grant Regulations ( https://files.Dre.Pt/2s/2021/10/210000000/0013700149.Pdf ).

Candidate evaluation: In accordance with the provisions of Article 11.2 of the Foundation for Science and Technology Research Grant Regulations In the Science and Technology field, the evaluation of candidates will be based solely on the following criteria: a curricular assessment (CA), weighted at 80%, and an interview (I), weighted at 20%, both assessed on a scale of 0 to 20 points. The three candidates with the highest scores in the curricular assessment shall be invited to interview, provided that they have obtained a score of at least 13 points in this component. The final score (FS) shall be calculated using the formula FS = 0.80 × CA + 0.20 × I. If no interview is held, the final score shall correspond to the score obtained in the curricular assessment.

Composition of the Application Evaluation Board: The Application Evaluation Board is composed of three full members and one alternate (all PhDs):

Publication/Notification of Results: The final evaluation results will be published on the Ualg website, in a list ordered by the final grade obtained, and the successful candidate will be notified via email.

After receiving all required documentation, a scholarship contract will be signed with the selected candidate(s) in accordance with the attached template.

Evaluation of Fellow(s):

At the end of each fellowship contract period, the advisor will evaluate the fellow(s)' work by assessing the accomplishment of the work objectives established for the previous period.

The University of Algarve reserves the right to cancel the fellowship award process, within the scope of the Project in question, whenever funding is not awarded or the scholarship duration exceeds the project completion date.

University of Algarve, 2 of October of 2026

The Principal Investigator

Requirements

Research Field Mathematics Education Level PhD or equivalent Skills/Qualifications