Communications & Networks Senior Researcher

Job description

InnoCube is looking to hire one Communications & Networks Senior Researcher one who will play a key role in our team with respect to the implementation of next-generation communications and networks applications. The applicants will work with state-of-the-art technologies and will contribute to open-source and commercial solutions.

Basic Qualifications

  • Diploma degree in electrical engineering or relevant field
  • PhD degree in electrical engineering or relevant field
  • Proven work experience that surpasses 10 years at total, with at least 5 years’ experience after receiving the PhD degree
  • Octave, Python, C/C++, and SageMath programming
  • Excellent understanding of statistics, multivariable calculus, linear algebra, and optimization theory
  • Experience in conducting research
  • Experience in drafting, writing and submitting different types of documents, such as scientific publications, reports, white papers, deliverables, and patents
  • Extensive experience in research under the Horizon 2020 and Horizon Europe Research and Development (R&D) projects framework
  • Excellent written and oral communication skills

Desirable Qualifications

  • Experience in drafting successful R&D proposals
  • Experience with machine learning (ML) and deep learning (DL) libraries, such as Scikit Learn, Tensorflow/Keras and/or PyTorch
  • Experience with Nvidia Sionna.
  • Experience with analyzing and assessing the performance of wireless systems and networks.


  • Leading the research team
  • Conducting cutting-edge research
  • Becoming the interface between the research and development teams in order to supervise the development of new products.
  • Leading the preparation of European and National R&D proposals
  • Drafting Horizon 2020 and Horizon Europe R&D project proposals
  • Statistical modelling, data analytics, optimization problem formulation, performance analysis
  • Identifying solutions to overcome communication system challenges
  • Implementing machine learning and deep learning models
  • Editing, authoring and delivery of technical reports, deliverables, white papers, scientific papers, and patents
  • Communication with computer engineers and researchers
  • Participation in technical meetings, representing InnoCube


  • Friendly, motivated and inclusive team with a strong European and International network
  • Competitive remuneration package according to qualifications and experience
  • Flexible working hours
  • Career progression opportunities

Equal Opportunities

InnoCube is proud to be an equal opportunity workplace. We are committed to equal employment opportunity without unlawful regard to race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, veteran status, or other local legally protected characteristics.

Preferred starting Date

1st of October 2022

* Please submit your CV to the following email address:

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