[PlanetKR] Post-Doctoral position in formal methods
Mary-Anne Williams
Mary-Anne at themagiclab.org
Wed Dec 19 03:05:11 EST 2018
One Posdoc Position - formal methods applied to artificial intelligence -
applied machine learning
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 (ferme at uma.pt) no later than 30/12/2018,
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.
----
--
Eduardo Fermé
Faculty of Exact Sciences and Engineering
University of Madeira
Campus Universitário da Penteada 9000-390 Funchal, Madeira, Portugal.
tel. + 351 291 705179 Fax + 351 291 705199.
e-mail: ferme at uma.pt https://protect-au.mimecast.com/s/3U0ICK1D6kHOLWPUMaIIR?domain=cee.uma.pt
--
------ Professor Mary-Anne Williams Director, Disruptive Innovation
University of Technology Sydney
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