Organisation/Company: INL
Department: Human Resources
Research Field: Engineering » Computer engineering, Engineering » Other
Researcher Profile: First Stage Researcher (R1), Recognised Researcher (R2)
Positions: Master Positions
Country: Portugal
Application Deadline: 22 Oct 2024 - 23:00 (Europe/Lisbon)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 40
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description Job Reference: RRP.12.31.14.4
Employer: International Iberian Nanotechnology Laboratory (INL)
Group/Unit: M. Martins Research Group
Number of Vacancies: 1
Employment Type: Full time
Contract Duration: 13 months
Open Date for Applications: October 2nd, 2024
Closing Date for Applications: October 22nd, 2024, 23h00m (Lisbon Time)
Key words: #ArtificialIntelligence #MachineLearning #DeepLearning #SupervisedLearning #ReinforcementLearning #ArtificialNeuralNetworks #SupportvectorMachines #BayesianNetworks
Overview:
The M. Martins Research Group is expected to function as a cohesive, multifaceted engineering team that promotes INL's core R&D&I skills, particularly in system engineering. It aims to expand the installed capacities for an interdisciplinary approach to transform concepts into high-quality nanotechnology-based products and services.
The objective is to create a multidisciplinary team of Engineers from various fields, namely Mechanical, Electric, Physics, Computer Science, and Machine Learning, to work closely together, ensuring continuity between the knowledge accumulated at INL and the existing knowledge in companies, enabling faster and more effective knowledge transfer. Each member will contribute to the team to maximize the construction of complex systems capable of responding to crosscutting needs of the companies with which they will be working.
We are looking for a Research Engineer to join our group in the Stationary batteries for renewable energy self-consumption of small to medium size facilities and Batteries as the key elements in virtual power plants project of the NGS Agenda; the Batteries as the key elements in virtual power plants project of the Bioeconomia Azul Agenda; the Sensors for presence detection project of the ILLIANCE Agenda; and the Portable SERS platform for antibiotic residues detection project of the Smartgnostic Agenda, under the PRR framework.
Job Duties:
Model, build, and test AI software to ensure it can handle large datasets and achieve desired results;
Analyse and interpret data signals, images, time series, etc.;
Design and develop AI models from scratch;
Find patterns and anomalies within large datasets using supervised and preferably unsupervised methods;
Design, build, and manage ML software applications;
Conduct experimentation and prototyping;
Analyse statistics, data, and algorithms for projection accuracy;
Stay current on AI knowledge, trends, and regulations;
Address ethical considerations and promote responsible AI practices;
Collaborate and communicate within an interdisciplinary team.
Mandatory Qualifications:
Education:
MSc in Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Computer Science, or any other related field.
Experience:
At least 1 year of professional experience in the industry.
Technical Skills:
Programming Languages: Python (including libraries such as TensorFlow, PyTorch, scikit-learn, and Keras);
JavaScript (including frontend development and integration with Node.js frameworks);
C++ for performance-critical AI tasks.
Machine Learning and Deep Learning: Strong understanding of machine learning concepts and techniques;
Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras;
Experience in analysing data collected by different sensors;
Knowledge of basic algorithms, object-oriented and functional design principles;
Familiarity with advanced topics in deep learning.
Data Analysis and Visualisation: Proficiency in data analysis using libraries like Pandas and NumPy;
Experience with data visualisation tools such as Matplotlib, Seaborn, and Plotly;
Natural Language Processing (NLP).
Computer Vision: Understanding of computer vision algorithms and frameworks.
Model Evaluation and Optimisation: Proficiency in evaluating and optimising machine learning models.
Software Engineering Practices: Knowledge of software engineering principles and best practices.
Personal Skills:
Strong motivation to work independently and as part of a team;
Attention to detail and ability to meet deadlines;
Capable of establishing collaborative ties.
Benefits:
Tax benefits and other Diplomatic privileges;
Private health insurance;
Family allowances;
Free nursery service at INL premises (subject to availability);
Support for education fees of dependent children;
Relocation support;
30 working days of annual leave.
How to Apply:
The application must be in English and include the following mandatory documents :
Academic and/or Professional diplomas;
Recognition of academic degrees (for degrees awarded by non-Portuguese institutions).
Online application instructions:
The application is made online by clicking the "Apply" button;
Complete all required sections of the online application form;
Submit the mandatory documents in pdf format.
Incomplete applications will not be considered.
Selection Process:
Eligibility check based on mandatory requirements.
CV Assessment by the Selection Committee.
Interview(s) in various formats.
Nomination and formal offer of the position.
Additional Information:
We value your interest in joining INL and will provide feedback regardless of the outcome.
Equal Opportunity and Non-Discrimination Principle:
INL follows a non-discrimination principle, ensuring equal access for all candidates.
The advertisement deadline may be extended to improve the recruitment process.
About INL:
The International Iberian Nanotechnology Laboratory (INL) is the first and only Intergovernmental Organisation focused on Nanoscience and Nanotechnology.
It aims to be a leading global nanotechnology innovation hub.
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