Research scholarship in Artificial Intelligence for Health in the Center of Innovation for Artificial Intelligence in Health (CIIA-Health)

20 Mar 2024
Job Information

Organisation/Company

UFMG

Department

School of Medicine

Research Field

Medical sciences » Medicine

Researcher Profile

First Stage Researcher (R1)

Country

Italy

Application Deadline

12 Apr 2024 - 23:59 (Africa/Abidjan)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

30 Apr 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We select candidates to work on research in the area of ​​ARTIFICIAL INTELLIGENCE and DATA SCIENCE in a project at the CENTER FOR INNOVATION IN ARTIFICIAL INTELLIGENCE FOR HEALTH (CIIA-SAÚDE), specifically in the sub-project “Prediction of Clinical Outcomes and Economic through Multimodal Semantic Representations of Patients Resilient to Temporal Drifts”, which aims to develop new AI tools, capable of assisting healthcare professionals in the diagnosis and prognosis of clinical outcomes as well as the development of models for predicting costs in the treatment of patients based on the resource consumption profile in their care routes (trajectories). As specific objectives, this project aims to answer the research questions: (i) Is it possible to develop new patient representation strategies that integrate multimodal data from various sources for the effective prediction of clinical and economic outcomes? (ii) Do these representations, together with new strategies for mitigating temporal drifts, make it possible to reduce the effects of these drifts on economic and health data?

 

Principal investigator: Professor Marcos André Gonçalves (UFMG)

Researcher supervisor: Milena Soriano Marcolino (UFMG)

 

Activities to be developed: descriptive and exploratory analysis of health data collections; development and application of Artificial Intelligence techniques and statistical methodology in scenarios for predicting health outcomes and costs; interpretation of results; writing scientific literature; and support for project management (distribution and monitoring of the execution of tasks by the team).

 

Mandatory requirements: 1) undergraduate degree in the health field; 2) doctorate in Health Sciences or correlated field; 2) experience in participating in projects in the health area; 3) experience with data analysis; 4) ability to write scientific texts in English; 5) experience with scientific writing, proven by quality international publications; 6) leadership skills; 7) availability of 40 hours of work per week, exclusively; and 8) availability for weekly meetings.

 

Workload: 40h/week over 18 months, scheduled to start on 01/06/2024.

Monthly scholarship: R$ 9,047.40 (Brazilian reais)

 

Candidates must fill out the form on Google Forms available at the link https://forms.gle/H96Wx1pNKxPmyAXTA , attaching a Lattes CV and motivation letter as PDF files, by 04/12/2024. The selection process will take place in three stages:

Analysis of the CV and motivation letter: eliminatory and qualifying stage

Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage

Scientific text writing: eliminatory and classificatory stage

 

Requirements

Research Field

Medical sciences » Medicine

Education Level

PhD or equivalent

Skills/Qualifications

Mandatory requirements

Undergraduate degree in the health field;

Doctorate in Health Sciences or correlated field;

Experience in participating in projects in the health area;

Experience with data analysis;

Ability to write scientific texts in English;

Experience with scientific writing, proven by quality international publications;

Leadership skills;

Availability of 40 hours of work per week, exclusively;

Availability for weekly meetings.

 

 

Specific Requirements

The selection process will take place in three stages:

Analysis of the CV and motivation letter: eliminatory and qualifying stage

Interview in person or on an online platform (Google Meet or similar): eliminatory and qualifying stage

Scientific text writing: eliminatory and classificatory stage

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Universidade Federal de Minas Gerais

Country

Brazil

State/Province

MG

City

Belo Horizonte

Postal Code

31270-901

Street

Av. Antonio Carlos 6627

Geofield

Where to apply

Website

https://forms.gle/H96Wx1pNKxPmyAXTA

Contact

State/Province

Minas Gerais

City

Belo Horizonte

Website

https://ww.dcc.ufmg.br/

Street

Rua Randolfo Trindade 22

Postal Code

31.320-290

E-Mail

[email protected]

Phone

31991206865

STATUS: EXPIRED