Peço licença para divulgar na lista:

Vaga de postdoc na Universidade da Madeira, Portugal.

Salário bruto de aproximadamente 36K € por ano. Mais informações abaixo.


+++

1 Posdoc Position - Applied machine Learning - formal methods applied to
artificial intelligence



The NOVA LINCS Knowledge-Based Systems Group at Madeira University is
seeking candidates for a PostDoc position to work within the scope of the
following project:



Project BRANT - Belief Revision applied to Neurorehabilitation Therapy
(PTDC/CCI-COM/30990/2017)

Cognitive deficits are common after brain injury, dementia and in normal
cognitive decline due to aging. Current cognitive rehabilitation therapy
has been shown to be the most effective way to address this problem.
However, a) they are not adaptive for every patient and b) have a high
cost, and is usually implemented in clinical environments. The Task
Generator (TG) is a free tool for the generation of cognitive training
tasks. However, TG is not designed to adapt and monitor the evolution of
the patient. Here we propose BRaNT, an enhancement of TG with Artificial
Intelligence modules, gamification and remote monitoring capabilities to
enable Health Professionals to provide long-term personalized cognitive
rehabilitation therapy at home. BRaNT is an interdisciplinary effort that
addresses scientific limitations of current practices as well as provides
solutions towards the sustainability of health systems and contributes
towards the improvement of quality of life of patients.



Candidates should hold a PhD. or equivalent degree.  Suitable disciplines
include Computer Science, Artificial Intelligence, Mathematics, Machine
Learning and other related areas. A strong publication record is considered
a plus. Candidates are expected to be fluent in spoken and written English.
PostDocs can, optionally, supervise MSc and/or PhD projects.



It is desirable that the candidate has the following experience/skills:



1. Knowledge in logic or formal methods applied to artificial intelligence.

2. Knowledge in Applied Machine Learning and Data Science.

3. Strong programming skills



Task will include, among others, to participate in a interdisciplinary team
to perform:

(a) Patient Profile Generator

Based in normalized data in a database, we will create a assistive tool to
create a patient profile which represents his/her cognitive competences.
This training profile will be created by operationalizing tasks according
to how their different parameters impact different cognitive domains
(Attention, Memory, Executive Functions, Language, Processing Speed). This
will be achieved by means of a participatory design methodology involving
20 rehabilitation experts and end-user groups. Through modeling we expect
to quantitatively determine how independent variables (task parameters)
impact each of the profile domains. For each patient, this profiling and
parameter matching process will result in the selection of a number of
tasks that are adjusted to the patient and delivered as the prescribed
training.



(b) Belief Revision adaptation engine (BR-E: Adaptation).

The aim of this WP is to create the computational infrastructure based on
the Belief Revision framework that will

enable the accurate generation of cognitive profiles for patients, as well
as the update of these profiles over time to accurately capture the
patients' evolution over time and the consequent adaptation of cognitive
training (Belief Revision adaptation engine).

The BR-E must be capable to  detects inconsistencies (i.e., formal
contradictions) and incoherencies (i.e., results between different
assessment that are outside of expected differences). In case of normal
evolution/involution the system will be update the profle accordingly and
cycle the process with the updated profile.

Gross Salary: Approx 36K € x year.



The positions are available from 1/4/2018. The positions are fixed-term and
filled initially for 1 year with the option to be renewed until the end of
the project (30/9/21).



Applicants should express their interest by sending the following documents
by email to Eduardo Fermé ([email protected]) no later than 20/12/2018,
according to the instructions below:

- a cover letter briefly describing your background and interests;

- a Curriculum Vitae (with contact details);

- names and contact information (email) of at least two references;

- a link to electronic copy of Ph.D. Thesis (if available);

- links to electronic copies of 1-2 most relevant publications.

+++
Rafael R. Testa
Postdoctoral fellow
CLE-Unicamp (Brazil)
page: www.rafaeltesta.com

<http://www.rafaeltesta.com>

-- 
Você está recebendo esta mensagem porque se inscreveu no grupo "LOGICA-L" dos 
Grupos do Google.
Para cancelar inscrição nesse grupo e parar de receber e-mails dele, envie um 
e-mail para [email protected].
Para postar neste grupo, envie um e-mail para [email protected].
Visite este grupo em https://groups.google.com/a/dimap.ufrn.br/group/logica-l/.
Para ver esta discussão na web, acesse 
https://groups.google.com/a/dimap.ufrn.br/d/msgid/logica-l/CANMteUn9aXzOrgWOY0hfR0pCwmK5i%3D9OSw8CHZcwGDS3tzQKNA%40mail.gmail.com.

Responder a