RESEARCH ENGINEER - ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND SIGNAL PROCESSING

Research Engineer - Artificial intelligence, Machine Learning and signal processing   Job Reference.
RRP.
Employer.
International Iberian Nanotechnology Laboratory (INL) Location.
Braga, Portugal Group/Unit.
M.
Martins Research Group Number of Vacancies.
1 Employment Type.
Full time Contract Duration.
13 months   Open Date for Applications.
October 2 nd, Closing Date for Applications.
October 22 nd, h00m (Lisbon Time)   Key words.
# ArtificialIntelligence # MachineLearning # DeepLearning # Supervised Learning # ReinforcementLearning # ArtificialNeuralNetworks # SupportvectorMachines # Bayesian N etworks   Overview The M.
Martins Research Group is expected to function as a cohesive, multifaceted engineering team that promotes the INL’s core R&D&I skills, in particular in the area of 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 different areas, namely Mechanical, Electric, Physics, Computer Science, and Machine Learning, to work very closely with each other and that will ensure continuity between the knowledge accumulated at INL and the existing knowledge in companies, enabling a faster and more effective knowledge transfer.
Each member will bring their contribution to the team to maximise the construction of very 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 B atteries 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 The Research Engineer will be responsible for designing and building systems and interfaces in several areas of application and will undertake the following main activities and responsibilities.
Model, build, and test AI software to ensure it can take on large swaths of d ata and achieve desired results; Analyse   and interpret data time si gnals, images, time series, etc; Design and develop AI models from scratch; Find patterns and anomalies   within large datasets in supervised and preferably unsupervised methods; Design, build and manage ML software applications; Experimentation and Prototyping; Use Python, JavaScript, and C++ to c reate a faster, more capable AI; Analyse statistics, data, and alg orithms for projection accuracy; Stay current on AI kno wledge, trends, and regulations; Ethical c onsiderations and 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 professional experience of 1 years in the industry field.
Technical Skills Programming Languages Python, including libraries such as TensorFlow, P yTorch, scikit -learn, and Keras; JavaScript, including frontend development and integration with Node.
s frameworks; C++ fo r performance-critical AI tasks.
Mac hine Learning and Deep Learning Strong understanding of machine learning concepts, algorithms, and techniques, including supervised learning, unsupervised learning, reinforcem ent learning, and deep learning; Experience with popular deep learning frameworks such as TensorFlow, PyTorch, and Keras for building and training neural networks; Experience in analysing and interpreting data collected by different sensors such as si gnals, images, time series, etc.; Experience in adapting developed models to bare metal platforms; Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns; Familiarity with advanced topics in deep learning, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and transformer models.
Dat a Analysis and Visualisation Proficiency in data analysis and manipulation using libraries like Pandas and NumPy; Experience with data visualis ation tools such as Matplotlib, Seaborn, and Plotly for creating insightful vis ualizations of complex datasets; Na tural Language Processing (NLP).
Computer Vision Understanding of computer vision algorithms and frameworks, including OpenCV, TensorFlow Object Detection API, and PyTorch Vision for tasks such as image classification, object detection, image segmentation, and facial recognition.
Model Evaluation and Optimisation Profi ciency in evaluating and optimis ing machine learning models using techniques such as cross-validation, hyperparameter tuning, regularis ation, and ensemble methods to improve model performance and generalis ation.
Software Engineering Practices.
Knowledge of software engineering principles and best practices, including version control systems (e.
., Git), software design patterns, unit testing, and continuous integration/continuous deployment (CI/CD) pipelines.
Personal Skills Strong motivation to work both independently and as part of a team in an interdisciplinary environment, with the ability to pay close attention to detail and to meet deadlines.
Excellent communication skills.
Capable of establishing collaborative ties.
Team work spirit.
Our Benefits Competitive salary; Tax benefits and other Diplomatic privileges; Private health i nsurance; F amily allowance s (according to family situation); Free nursery service at INL premises (subject to availability); Support for e ducation fees of dependent children; Relocation support; 30 working days o f annual leave.
How to Apply The application must be in English and include the following mandatory documents.
a)      Cover letter; b)      Curriculum Vitae; c)       Academic and/or Professional diplomas; d)      Recognition of academic degrees   (only academic degrees   awarded by   non-Portuguese   higher education institutions) *   * The selected candidate(s)   with an academic degree   granted by a non-Portuguese   higher   education institution must   present,   for hiring purposes, the certificate of recognition of that   degree(s), issued by the   Portuguese Directorate General for Higher   Education or by a Portuguese Public Higher Education   Institution.
Please   consult the website of the Portuguese Directorate General for Higher Education.
https://www.
ges.
ov.
t/en.
Online application instructions.
The application is made online by clicking the “Apply ” button; The candidate must complete all required sections of the online application form; The candidate must submit the m andatory documents mentioned above in pdf format by including them in the “A dditional files” sectio n using the “Add portfolio” button.
Important note.
Incomplete applications including the failure to provide mandatory documents or providing inaccurate information will result in the application not being considered.
How the Selection P rocess works   A.
Applications e ligibility check This stage will be carried out on the basis of the mandatory requirements, education, experience and techn ical skills defined for the job, as well as the validation of the mandatory documents.
Only candidates who meet the eligibility criteria will move forward to t he next stage.
B.
CV Assessment T he Selection Committee will evaluate the eligible applications based on their CV and other submitted documents and the suitability for the position.
The best ranked candidates will be shortlisted for the interview stage(s).
C.
Interview(s) The interview(s) may be done in different formats.
video recording, online or onsite.
The question based interview will evaluat e the match between the candid ate’s profile and the requirements for the position, including the technical and personal skills.
To better support this stage, the candidate may be requested to prepare a short presentation.
D.
Nomination The selected candidate will be nominated and formally offered the position, including the disclosure of the contractual conditions.
Additional Information     Application feedback We highly value your interest in becoming part of the INL experience and it is important for us to maintain good c ommunications with all candidate s.
No matter the outcome of your application, we will always provide you with feedback.
Equal Opportunity and Non-Discrimination Principle INL follows a non-discri mination and equal access principle, wherefore no candidate can be privileged, benefited, impaired or deprived of any rights whatsoever, or be exempt of and duties based on any possible discriminatory issues.
The advertisement deadline may be extended at any time without previous notice in order to improve the suitability and effectiveness of the recruitment process.
About INL The International Iberian Nanotechnology Laboratory – INL (http://www.
nl.
nt), is the first and only Intergovernmental Organisation in the world entirely focused on Nanoscience and Nanotechnology.
It was founded under an international legal framework to perform interdisciplinary research, deploy and communicate nanotechnology for the benefit of society.
INL aims to be a recognised leading global nanotechnology innovation hub.