CALL FOR A PRINCIPAL RESEARCHER - CTTC_ IP.09_2023@UNINOVA

19 Sep 2023
Job Information

Organisation/Company

UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias

Department

Serviços Centrais

Research Field

Engineering » Computer engineering

Researcher Profile

Leading Researcher (R4)

Country

Portugal

Application Deadline

26 Sep 2023 - 23:59 (Europe/Lisbon)

Type of Contract

Not Applicable

Job Status

Not Applicable

Hours Per Week

Not Applicable

Offer Starting Date

1 Oct 2023

Is the job funded through the EU Research Framework Programme?

H2020

Reference Number

CTTC_ IP.09_2023@UNINOVA

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

No

Offer Description

UNINOVA – Instituto de Desenvolvimento de Novas Tecnologias, by decision of the Executive Committee, opens an international call to hire a Principal Researcher, under the Special Investigator regime, over a fixed term contract and in part-time under the following Research projects funded by the European Commission's Horizon 2020 and H2020 programmes:

• SMART4HEALTH – 826117 - Citizen-centred EU-EHR exchange for personalised health
• i4Q – 958205 – Industrial Data Services for Quality Control in Smart Manufacturing
• Vessel-AI – 957237 - Enabling Maritime Digitalization by ExtremeScale Analytics, AI and Digital Twins
• SENTINEL – 101021659 – Bridging the security, privacy and data protection gap for smaller enterprises in Europe
• AIDEAS – 101057294 – AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience
• AI-DAPT – 101135826 – AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid Science-Guided and AI Models

Admission Requirements/Profile of Candidates:

Applicants may be any Portuguese national, foreign and stateless candidates that hold the following requirements:

• PhD in Electrotechnical and Computer Engineering (preferential) or similar;
• Specialization in “Industrial Information Systems" (preferential);
• Minimum of 10 years of proven experience in applied research, working in multinational and multidisciplinary teams such as the ones of European research projects:
  • Coordination of R&D work, ensuring timely accomplishment of project objectives and milestones;
  • Efficiently manage workflows and communications with all stakeholders;
  • Budget control and management
  • Coordination and preparation of new proposals;
• Knowledgeable in data science and AI and technologies for digital transformation within different sectors of society, including manufacturing, health and transportion:
  • Interperability of systems
  • Data Management
  • Big data analytics
  • AI and Machine Learning
• Experience in the organization of international events such as workshops and conferences;
• Fluency in portuguese and English (written and spoken) - mandatory;
• Good communication and presentation skills;
• Experience in preparing project deliverables and reports;
• Proactivity and ability to work under pressure.
• Immediate availability (mandatory).

Applicable legislation:

• Administrative Procedure Code, as republished in Decree-Law nº 4/2015, from 7th January in its current version (CPA).

Work Plan Activities:

The works are part of the research activities of the SMART4HEALTH – 826117 – Citizen-centred EU-EHR exchange for personalised health; i4Q – 958205 – Industrial Data Services for Quality Control in Smart Manufacturing; Vessel-AI – 957237 – Enabling Maritime Digitalization by ExtremeScale Analytics, AI and Digital Twins; SENTINEL – 101021659 – Bridging the security, privacy and data protection gap for smaller enterprises in Europe; AIDEAS – 101057294 – AI Driven industrial Equipment product life cycle boosting Agility, Sustainability and resilience; AI-DAPT – 101135826 – AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-in-the-Loop and Coupling of Hybrid Science-Guided and AI Models. Specifically:

SMART4HEALTH:

Contribute for the following tasks of the project:

• WP6 - Dissemination, Exploitation, Sustainability and Communication
  • T6.8 Roadmap for platform sustainability and extensibility to new data and data formats

i4Q:

Contribute for the following tasks of the project:

• WP6: VALUATE: Piloting and Demonstrating
  • T6.5 - RIASTONE - Advanced In-line Inspection for incoming Prime Matter Quality Control
  • T6.7 - Generic Pilot. i4Q Solutions Demonstrator
  • T6.8 - Continuous Integration and Validation
• WP7: DISSEMINATE: Communication, Dissemination and Standardisation
  • T7.1 - Target-Driven Dissemination Strategy, Plan, and Reporting
  • T7.4 - Industry Clustering and Regional Interactions, DIH Connection, Supporting Partners
  • T7.6 - Standardisation
• WP8: XPLOIT: Business Approach and Market Preparation
  • T8.4 - Creation of i4Q Start-up and Sustainability Analysis
  • T8.6 - Leveraging Additional Funds for the i4Q Exploitation Phase

Vessel-AI:

• WP2: Extreme-scale Data Services
  • T2.1 - Data Ingestion and lifecycle management
  • T2.2 - Data Curation, Anonymisation and Semantic Enrichment for Extreme Data
  • T2.3 - Data storage and High Performance, Distributed Query Engine
• WP3: HPC Services and Resources management
  • T3.1 - High Performance Computing for Extreme-scale AI Experimentation
  • T3.2 - Parallelisation, Scalabiltiy and Resources management Testing on VesselAI scenarios
  • T3.3 - HPC VesselAI Services Layer
• WP4: Artificial Intelligence Services and Synergy with the AI On-Demand Platform
  • T4.3 - Data Validation and ML / Neural Networks Models Definition
  • T4.4 - Models Training and Federated Learning
  • T4.6 - Advanced Visualisations and Reports Engine
• WP5: VesselAI Integration, Security and Technical Evaluation
  • T5.2 - VesselAI Digital Twins and Maritime Apps Integration
• WP7: Dissemination and Communication
  • T7.1-Planning Dissemination, Communication and Community Engagement
  • T7.2-Project Communication Activities
  • T7.3-Dissemination and Community Engagement
• WP8: Exploitation and Business Cases Development
  • T8.1-Project Exploitation Strategy and IPR Management.

SENTINEL:

Contribute for the following tasks of the project:

• WP5: SENTINEL continuous integration and system validation
  • Task 5.3: From the prototype to the final solution
• WP6: Real-life experiment evaluations: SENTINEL pilots
  • Task 6.3: Open access to the SENTINEL platform for validation and evaluation through Digital Innovation Hubs
• WP7: Ecosystem building, Exploitation and sustainability management
  • Task 7.2. Dissemination and communication strategy to trigger awareness and new business opportunities
  • Task 7.4. SENTINEL ecosystem building: Continuous engagement of technology providers, SMEs/MEs

AIDEAS:

Contribute for the following tasks of the project:

• WP2: DESIGN: AIDEAS Framework Design:
  • T2.3 - Usage Viewpoint
• WP4: BUILD: AIDEAS 4 Industrial Equipment Manufacturing
  • T4.1 - AI for Materials and Components Procurement
  • T4.4 - Machine Passport: Manufacturing Data
  • T4.5 - Continuous Integration and Validation
• WP5: BUILD: AIDEAS 4 Industrial Equipment Use
  • T5.1 - AI for Industrial Equipment Initial Calibration
  • T5.6 - Continuous Integration and Validation
• WP6: BUILD: AIDEAS 4 Industrial Equipment Repair-Reuse-Recycle
  • T6.4 - Machine Passport: Repair-Reuse-Recycle Data
• WP7: VALUATE: Piloting and Demonstrating
  • T7.5 - Impact Assessment and KPI Validation of AIDEAS Solutions
  • T7.6 - Roadmap, Replicability and Lessons Learned

AI-DAPT :

Contribute for the following tasks of the project:

• WP1: Automated AI Pipeline Lifecycle Management Framework
  • T1.1 Automated AI Pipelines End-User Needs, Ethics Analysis, Constraints and Considerations
  • T1.2 Automated AI Pipeline End-to-End Usage Scenarios, and Hybrid Science-Guided AI Models Foundations
  • T1.4 Automated AI Pipeline Lifecycle Design & AI-DAPT Research Agenda
  • T1.5 AI-DAPT User Stories, Technical & AI Requirements
• WP3: Hybrid Science-AI Models Foundations
  • T3.1 Hybrid Science-AI Model Interactive Training within AI Pipelines
  • T3.3 AI Pipelines Continuous Monitoring & Delivery
• WP4: System Architecture, Continuous Integration, Testing and Technical Verification
  • T4.1 AI-DAPT Reference Architecture and APIs Design

• WP6: Dissemination, Communication, Stakeholder Engagement, Exploitation
  • T6.1 Dissemination Activities and Excellence Diffusion
  • T6.2 Communication Activities and Publicity
  • T6.3 Stakeholders Outreach, Engagement and Standardization Contribution
  • T6.4 Liaison Activities and Contribution to the Open Innovation Challenge
• WP7: Project Coordination, Scientific, Technical and Innovation Management
  • T7.1 Project Administration, Management and Coordination Activities

Finally, the candidate will contribute to the sustainability and funding of UNINOVA, in particular within the research center where he operates, identifying funding opportunities and ensuring the proper preparation of proposals for scientific projects in the scope of the ongoing projects.

Start Date and Workplace:

The contract under the Category of Principal Researcher is expected to start in September/October 2023 and will last only for the period necessary for the execution of the workplans described above, which is expected to last 16 months. The project will be developed at UNINOVA, at other facilities located at FCT / NOVA Campus and/or other necessary locations to its execution.

Application process:

The deadline for submitting applications is set at 5 working days after the publication of this call and the application documents (indicated below) should be sent, in PDF format, to the e-mails recrutamento@uninova.pt and c.pereira@uninova.pt indicating the reference of the position (mandatory):

a) Motivation Letter in English;

b) Detailed CV in English;

c) Certificate of Qualifications

NOTE: The non-compliance with these requirements determines the immediate rejection of application. False statements provided by the candidates shall be punished by law.

IMPORTANT NOTE: In the event the degree was awarded by a foreigner higher institution, the degree must comply with the provisions of Decree-Law nº 341/2007, 12 October, and all formalities established there must be fulfilled by applications deadline. False statements provided by the candidates shall be punished by law. UNINOVA promotes a non-discrimination and equal access policy, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of any duties based on their ancestry, age, sex, sexual preference, marital status, family and economic conditions, instruction, origin or social conditions, genetic heritage, reduced work capacity, disability, chronic illness, nationality, ethnic origin or race, origin territory, language, religion, political or ideological convictions and union membership.

Pursuant to Decree-Law nr 29/2001 of 3rd February, disabled candidates shall be preferred in a situation of equal classification, and said preference supersedes any legal preferences. Candidates must declare, on their honour, their respective disability degree, type of disability and communication / expression means to be used during selection period on their application form, under the regulations above.

Requirements

Research Field

Engineering » Computer engineering

Education Level

PhD or equivalent

Skills/Qualifications

Admission Requirements/Profile of Candidates:

Applicants may be any Portuguese national, foreign and stateless candidates that hold the following requirements:

• PhD in Electrotechnical and Computer Engineering (preferential) or similar;
• Specialization in “Industrial Information Systems" (preferential);
• Minimum of 10 years of proven experience in applied research, working in multinational and multidisciplinary teams such as the ones of European research projects:
  • Coordination of R&D work, ensuring timely accomplishment of project objectives and milestones;
  • Efficiently manage workflows and communications with all stakeholders;
  • Budget control and management
  • Coordination and preparation of new proposals;
• Knowledgeable in data science and AI and technologies for digital transformation within different sectors of society, including manufacturing, health and transportion:
  • Interperability of systems
  • Data Management
  • Big data analytics
  • AI and Machine Learning
• Experience in the organization of international events such as workshops and conferences;
• Fluency in portuguese and English (written and spoken) - mandatory;
• Good communication and presentation skills;
• Experience in preparing project deliverables and reports;
• Proactivity and ability to work under pressure.
• Immediate availability (mandatory).

 

Languages

ENGLISH

Level

Excellent

Additional Information
Benefits

Monthly fees:

Gross monthly Remuneration will be determined according to the experience presented by the candidate.

Eligibility criteria

Evaluation Criteria:

• Criterion A) - 85% - Curriculum and Scientific Course: based on the curriculum will be analyzed qualitatively the following criteria:
• Scientific and/or technological production considered more relevant by the candidate and its relationship with the objectives to be achieved by the position in competition (40%);
• Leadership capacity of R&D teams and projects (15%);
• Awards and other indicators for the recognition of national and international merit (5%);
• Experience of supervision and/or transmission of knowledge in formal and formal contexts (10%);
• Demonstrated capacity in raising funding for R&D activities (5%);
• Potential to contribute to the sustainability agenda of the agency/department that promotes the competition (10%).
• Criterion B): - 15% - Motivation Letter: Based on the motivation letter will be evaluated the following criteria:
• Motivation and interest in activities to be performed (10%);
• Command of the English and Portuguese language (5%).

If the Jury finds it essential, it may conduct an interview with the candidates to clarify the elements and evaluate the possible scientific frameworks in the project.

The jury shall deliberate by means of a roll-call vote based on the selection criteria. In the event of a tie, the decision will be the responsibility of the chairman of the jury.

After evaluation of all admitted applications, the jury will write a meeting minute with all process of recruitment, evaluation and selection including an ordered short list of approved candidates and their respective classification and final decision of the jury.

The final decision of the jury shall be validated by the Executive Commission, who is also in charge of deciding about the hiring.

Members of the Jury:

The jury has the following composition:

• President – Ricardo Luís Rosa Jardim Gonçalves
• Member nº 1 – João Francisco Alves Martins
• Member nº 2 – Carlos Manuel de Melo Agostinho

 

Selection process

Form of advertising/notification of results: The results of the evaluation are disclosed within 60 working days from the end of the application submission period, by notification of the candidates, made by email. The results will be also published on the UNINOVA website.

Preliminary Hearing and Final Decision Deadline:

After communicating the provisional list of the results of the evaluation, the candidates havea period of 10 working days to express their opinion during a prior hearing of interested parties, pursuant to articles 121 et seq. of the Code of Administrative Procedure.

The final decision will be rendered after the analysis of the statements presented during a prior hearing of interested parties. A complaint may be filed against the final decision within 15 working days, or, alternatively, an appeal may be filed within 30 working days, both counting from the respective notification.

Additional comments

Non-discrimination policy

UNINOVA promotes actively a non-discrimination and equal access policy, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of any duties based on their ancestry, age, sex, sexual preference, marital status, family and economic conditions, instruction, origin or social conditions, genetic heritage, reduced work capacity, disability, chronic illness, nationality, ethnic origin or race, origin territory, language, religion, political or ideological convictions and union membership.

Pursuant to Decree-Law nr 29/2001 of 3rd February, disabled candidates shall be preferred in a situation of equal classification, and said preference supersedes any legal preferences. Candidates must declare, on their honor, their respective disability degree, type of disability and communication / expression means to be used during selection period on their application form, under the regulations above

Work Location(s)

Number of offers available

1

Company/Institute

UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias

Country

Portugal

State/Province

Caparica

City

Quinta da Torre

Postal Code

2829-516

Street

Campus da Caparica

Geofield

Where to apply

E-mail

recrutamento@uninova.pt

Contact

State/Province

Caparica

City

Quinta da Torre

Website

http://www.uninova.pt

Street

Campus da Caparica

Postal Code

2829-516

STATUS: EXPIRED