Research Engineer – Artificial intelligence, machine learning and signal processing

Updated: 4 months ago
Job Type: FullTime
Deadline: 04 Sep 2023

10 Aug 2023
Job Information


Human Resources
Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)

Application Deadline

4 Sep 2023 - 23:00 (Europe/Lisbon)
Type of Contract

Job Status

Hours Per Week

Offer Starting Date

4 Aug 2023
Is the job funded through the EU Research Framework Programme?

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


Offer Description

Job Reference: Ref.07.23.37

Employer: International Iberian Nanotechnology Laboratory (INL)

Location: Braga, Portugal

Group/Unit: Technology Engineering Group

Number of Vacancies: 1

Employment Type: Full time

Contract Duration: 24 months


Open Date for Applications: August 4th, 2023

Closing Date for Applications: September 4th, 2023, 23h00m (Lisbon Time)


Key words: #ArtificialIntelligence, #MachineLearning, #DeepLearning, #Automation, #Supervisedlearning, #Reinforcementlearning, #Artificialneuralnetworks, #Supportvectormachines, #Bayesiannetworks



The Technology Engineering 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 have a multidisciplinary team of Engineers from different areas, namely Mechanical, Electric, Physics, and Computer Engineering 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 data 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 qualified Research Engineer to join our team in designing and building systems and interfaces in several areas of application under the projects PRODUTECH (DIH) and ATTRACK, with the codes 101083487 and 101083770, respectively.


Job Duties

The job duties will be the following:

  • Model, build, and test AI software to ensure it can take on large swaths of date and achieve desired results.
  • Analyse and interpret data time signals, 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.
  • Use Python, JavaScript, and C++ to create a faster, more capable AI.
  • Analyse statistics, data, and algorithms for projection accuracy.
  • Stay current on AI knowledge, trends, and regulations.

    Mandatory Qualifications



    • MSc in Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Computer Science or any other related field.



    • At least professional experience of 3 years in the industry field.


    Technical Skills

    • Experience in analysing and interpreting data collected by different sensors such as signals, images, time series, etc.
    • Experience in designing and developing AI models from scratch.
    • Experience in adapting such developed models to bare metal platforms.
    • Experience in using data to design, build and manage ML software applications.
    • Experience with ML, deep learning, TensorFlow, Python, Keras, AutoML, Pytorch. 
    • Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
    • Experience in REST API development, NoSQL database design, and RDBMS design and optimizations


    Other Skills

    • Excellent communication skills in English are required since it’s the working language of INL.


    Preferred Qualifications

    • Professional experience of 5 years in the industry field.


    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.
    • Capable of establishing collaborative ties.
    • Problem solving ability.
    • Excellent communication skills.



    Our Benefits

    • Competitive salary;
    • Tax benefits and other Diplomatic privileges;
    • Private health insurance;
    • Family allowances (according to family situation);
    • 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:

  • Cover letter
  • Curriculum Vitae
  • Academic and/or Professional diplomas

    Online application instructions:

  • The application is made online by clicking the “Apply” button below;
  • The candidate must complete all required sections of the online application form;
  • The candidate must submit the mandatory documents mentioned above in pdf format by including them in the “Additional files” section 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 Process works

    A. Applications eligibility check

    This stage will be carried out on the basis of the mandatory requirements, education, experience and technical 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 the next stage.

    B. CV Assessment

    The 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 evaluate the match between the candidate’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 communications with all candidates. No matter the outcome of your application, we will always provide you with feedback.


    Equal Opportunity and Non-Discrimination Principle

    INL follows a non-discrimination 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 ( ), 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.




    Research Field
    Computer science
    Education Level
    Master Degree or equivalent


    Additional Information
    Work Location(s)
    Number of offers available
    INL - International Iberian Nanotechnology Laboratory

    Where to apply



    Av. Mestre José Veiga, S/N
    Postal Code


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