PUBLIC NOTICE
Call for allocation of a Scientist Scholarship
Reference: BII/FhP-22/04
The call for allocation of a Research Integration Grant for University Student is open and subject to the following conditions:
- Work Plan: The Student will work under the framework of projects “HomeSenseALS – Home-based Monitoring of Functional Disability in Amyotrophic Lateral Sclerosis with Mobile Sensing“ (PTDC/MEC-NEU/6855/2020) and “AIpALS - Advanced learning models for prognostic prediction in ALS” (PTDC/CCI-CIF/4613/2020). Data collection in raw format will require an effort for standardization, preprocessing and monitoring (including alerts). This work foresees the development of a set of (Python) scripts to query a database and process the corresponding data, rendering it ready for further analysis. It is also expected that the student can complete a set of preliminary analyses on the processed data, namely in the form of statistics and visual representations on each dimension under study, and the application of unsupervised learning techniques to unravel specific patterns or supervised learning methods based on multimodal data to predict the patients’ functional scores. Ideally, the result should be fed into a visual dashboard, e.g., based on Streamlit, that can be used by the physicians collaborating with the project to easily assess each patient’s status, on any of these four dimensions.
- Tasks:
- Data querying and processing from the project pilot database;
- Implement monitoring and alerting scripts to secure patient data;
- Integrate patients’ Mobility, Speech, and Respiratory information;
- Multimodal Machine Learning studies;
- Model correlations of interpretable features and ALSFRS (functional scale) scores;
- Intuitive dashboard tool for clinicians (based on the Streamlit framework).
(https://www.aicos.fraunhofer.pt/content/dam/portugal/fhp/careers/grants/Regulamento_Bolsas_Fraunhofer_Portugal_Research_2021.pdf )
A – Alignment of academic choices with the work to perform; B – Curriculum evaluation in accordance with the objectives of the project; C – Experience in research works. The following percentage weighting shall be given to the selection parameters: 0,3 x A + 0,5 x B + 0,2 x C.
Applications should be delivered during the call’s opening period, sent by e-mail with acknowledgement receipt to [email protected] , in pdf format, until 11:59 p.m. of August the 15th 2022.
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