B-0025-24 - Research Grant (Bi) - 23/02/2024

2 semanas atrás

Lisboa, Portugal Instituto de Telecomunicações Tempo inteiro

A research position for one Research Grant (“Bolsa de Investigação“) is open at Instituto de Telecomunicações, in the scope of the UTTER project - Unified Transcription and Translation for Extended Reality - GA 101070631 (HORIZON-CL4-2021-HUMAN-01-13 topic) funded by the applicable financial framework - Horizon Europe; and in the scope of the DECOLLAGE project - DEep COgnition Learning for LAnguage Generation, supported by the European Research Council - ERC COG 101088763.
- The work for this position is in the area of Natural Language Processing and Machine Learning.

**Scientific Area**:
Information and Data Sciences

**Group**:
Pattern and Image Analysis - Lx

**Admission Requirements**:
Research grants are intended:

- for students enrolled in a degree-conferring course to carry out R&D activities with the aim to consolidate their scientific training through the development of research work leading to the attainment of the respective academic degree or completion of the course (integrated or not in R&D projects).
- for students enrolled in courses that do not confer an academic degree but which are integrated in an educational project of a higher education institution and are developed in association or cooperation with one or several R&D units.

In what concerns the admission requirements for this research grant in particular:

- Currently enrolled (or to be enrolled) in a PhD in Computer Science and Engineering;
- Excellent academic and practical background in programming, machine learning, and natural language processing;
- Solid knowledge of reinforcement learning and machine translation;

**Work Objectives**:
The activities will be focused mostly on the use case “Multilingual Customer Service Dialogue Tool”. The tool should enable a customer service agent to provide support to global users (by text) in cases where the customer and agent speak different languages, using the context of the conversation to assist the agent, with guidance to provide helpful, personalized answers that take into account the formality level and the cultural context of the customer and the brand, as well as monitoring the satisfaction and engagement of the customer. The focus will be primarily on the work packages WP4 (“Adaptable and context-aware models”) and WP5 (“Uncertainty-aware, robust and explainable models”), namely in the following activities: Task T4.1: Adaptable, multimodal generation and translation. Task T4.2: Contextualisation and emotion tracking. Task T5.3: Robustness to noisy input.

**Applicable legislation**:
**Place of work**:
The work will be developed at the premises of Instituto de Telecomunicações - Lisboa, under the supervision of Professor André Martins.

**Duration**:
12 months, with the possibility of renewal (according to the regulations defined by FCT). Start date: April 1st, 2024 or soon thereafter.

**Monthly salary**:
1800€ according to the table of grant amounts awarded directly by Instituto de Telecomunicações.
- The payment will be made by bank transfer.**Selection criteria**:

- C1 (30%)
Curriculum vitae/Academic performance
- C2 (30%)
Previous experience in the aforementioned areas
- C3 (40%)
F = C1 x 30% + C2 x 30% + C3 x 40%-
**Jury**:

- Prof. André Filipe Torres Martins, Instituto Superior Técnico (President of the jury)
- Prof. Mario Alexandre Teles de Figueiredo, Instituto Superior Técnico
- Prof. Hugo Humberto Plácido da Silva, Instituto de Telecomunicações Lisboa
- Prof. Ana Luisa Nobre Fred, Instituto Superior Técnico (Substitute)

**Communication of the results**:**Required Documents**:
Cover letter explaining the interest in the position and relevant background, detailed Curriculum Vitae with transcripts, Copy of the relevant certificates (Copy of the Degree Certificate(s), if applicable); and proof of enrollment (or proof of acceptance) in a higher education course or declaration of honour confirming that complies with the conditions to enroll in the required/preferable higher education course.
- NOTE: The proof of enrollment in a higher education course must be made until the contract is signed.-
- All the selection process is conducted through the IT web portal. No actions outside this platform are valid.

**Application Period**:
26-02-2024 to 08-03-2024

**Assistance**:
**Published on**:
23-02-2024

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