Inesc Tec Is Accepting Applications For 1 Job

Inesc Tec; Viseu; On-site; EUR 24,000 - 36,000; Full time

Job summary

INESC TEC is inviting applications for a 1 Researcher position in Computer Science, focusing on the development and application of AI, machine learning, and statistical methods for time-series forecasting in the electricity sector. The role covers model development, implementation, and real-world testing in Porto, Portugal.

Ideal candidates hold a Master’s degree and have Python programming skills, machine learning knowledge, and fluency in English.

Qualifications

• Master's degree required in a relevant field (applied mathematics, physics, CS, electrical/computer engineering or informatics or similar).
• Basic knowledge of machine learning.
• Programming skills in Python and experience with ML methods.

Responsibilities

• Develop and apply AI algorithms for energy sector use cases (forecasting renewable generation, demand, and market prices).
• Develop and evaluate forecasting models, including uncertainty quantification.
• Automate forecasting processes from data prep to model updating and monitoring.

Skills

Python

Machine Learning

English fluency

Education

Master's degree in applied mathematics, physics, computer science, electrical and computer engineering or informatics or similar

Tools

Git

Job description

Organisation/Company INESC TEC Research Field Computer science » Informatics Engineering » Computer engineering Engineering » Electrical engineering Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Application Deadline 17 Oct 2026 - 23:59 (UTC) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 1 Nov 2026 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 Job summary: INESC TEC is accepting applications for 1 RESEARCHER job in the Computer ScienceProject: Scientific Advisor: José Ricardo AndradeStart Date: from 2026-11-01 toLocation: INESC TEC, Porto, Portugal Work Area: Computer ScienceProject overview: Development and application of artificial intelligence, machine learning, and statistical methods for time-series forecasting in the electricity sector, including demand, renewable generation, and market prices.

Development and evaluation of point and probabilistic forecasting models, including uncertainty quantification. Automation of forecasting processes, covering data preparation, model training and updating, forecast generation, performance monitoring, and systematic evaluation of results.

Objectives

• Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.G., forecasting of renewable energy generation and energy consumption, control of power systems and distributed energy resources;
• Development of an Auto ML library for time series;
• Testing and demonstration in a real-world demonstration environment.;

Academic Qualifications

Master's degree in applied mathematics, physics, computer science, electrical and computer engineering or informatics or similar.

Minimum profile required

Basic knowledge about machine learning. Programming skills in Python.

Preference factors

• Experience in the development and application of machine learning algorithms to engineering problems;
• - Proven experience in the development of Python libraries and tools;
• - Experience with software version control tools, preferably Git;
• - Fluency in English, both written and spoken.

Funding Entity: Type of contract: Uncertain term contractThe hiring shall be governed by what is stipulated in the legislation in force regarding fixed individual employment contracts and by INESC TEC norms.

Selection criteria

The selection of the candidates will be based on the following criteria, in descending order of consideration:a) Relevant Curriculum in the concerned field of this tenderb) Proven experience.

DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.

Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.

Said score may, in these cases, exceed 100 points.

Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect. Notification of results: The results of the selection process will be sent to the interested by electronic mail. Academic qualifications: Master's degree in applied mathematics, physics, computer science, electrical and computer engineering or informatics or similar.;;.Minimum profile: Basic knowledge about machine learning. Programming skills in Python.

Preference factors

• Experience in the development and application of machine learning algorithms to engineering problems;
• - Proven experience in the development of Python libraries and tools;
• - Experience with software version control tools, preferably Git;
• - Fluency in English, both written and spoken.

Research Field Computer science » Informatics Years of Research Experience None Research Field Engineering » Computer engineering Years of Research Experience None Research Field Engineering » Electrical engineering Years of Research Experience None Research Field Mathematics » Applied mathematics Years of Research Experience None Additional Information Selection process

Selection criteria

The selection of the candidates will be based on the following criteria, in descending order of consideration:a) Relevant Curriculum in the concerned field of this tenderb) Proven experience.

DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.

Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect. Notification of results: The results of the selection process will be sent to the interested by electronic mail.

Inesc Tec Is Accepting Applications For 1 Job • Portalegre, Portuguese Republic, PT