Two researchers in Computer and Biomedical Engineering (deadline: 28/5/2021)

Porto, Portugal

Two researchers in Computer and Biomedical Engineering (deadline: 28/5/2021)

INTELLIGENTCARE – Intelligent Multimorbidity Management System

Role overview

Job Description

INESC ID is looking for two researchers to engage under the scope of project INTELLIGENTCARE – Intelligent Multimorbidity Management System, concurso AAC 04/SI/2019 of the programme INTERFACE/CMU-PORTUGAL., funded by FEDER, PROGRAMA OPERACIONAL REGIONAL DE LISBOA , AGÊNCIA NACIONAL DE INOVAÇÃO and CMU.

The duration of the two research fellowships is 6 months.

The researchers will be members of the research project IntelligentCare, which develops a multimorbidity management decision support system focused on the patient’s vision of value, i.e., achieving the outcomes that matter for patients. To this end, analytical methodologies to identify high risk multimorbidity patient groups, as well as to evaluate and define evidence-based clinical pathways associated with each patient group will be used. The project contributes to improved healthcare delivery through precision and personalized medicine and to contribute to market sustainability using new technologies.

The selected candidates will join a team engaged in performing exploratory analysis of clinical data for clinical phenotyping and identification of most frequent representative groups in multimorbidity, and investigation and exploration of different data mining algorithms supporting this task.

The candidates should have an MSc in Computer Engineering, Biomedical Engineering or equivalent scientific areas.

By the grant start date, the candidate must be enrolled in a PhD programme or in a non-degree programme.

Preference will be given to candidates who satisfy one or more of the following criteria:

  • wxcellent academic and practical background in programming, machine learning, and natural language processing;

  • strong preference is given to candidates with sound knowledge of proficiency in programming in Python/R and libraries for Machine Learning and Deep Learning.

  • good knowledge of written and spoken English, being self-motivated and showing initiative in solving problems.

The activity will be supervised by Mário Jorge Costa Gaspar da Silva, full professor at Tecnico and researcher at INESC-ID, and Andreia Sofia Monteiro Teixeira, researcher at HLUZ-LEARNING HEALTH and external collaborator at INESC-ID.

INESC ID will integrate the grantees in the research team of their scientific advisor.

The fellowship is renewable, if the candidate is enrolled in a PhD program or a non-degree program.

Application period: 17 May 2021 – 28 May 2021.

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