Postdoc position in line-rate machine learning

Networks Data Science Group

Deadline for receipt of applications: January 14th, 2023 23:59 AoE (15 January 2024, 14:59h Europe/Madrid Time)

The Networks Data Science group ( at IMDEA Networks Institute has an opening for one Postdoctoral fellow in the area of applied machine learning (ML) to mobile network systems, with a starting date in early 2024. The successful candidate will contribute to the ongoing activities of the NDS group on developing, implementing and demonstrating ML solutions for varied tasks (including traffic classification, anomaly detection and telemetry for sensing applications) in the user plane of next-generation 6G networks [1-3].

In particular, the postdoctoral fellow will take a lead role in the participation of IMDEA Networks Institute in a large collaborative research project funded by the European Commission and involving major players in the telecommunication ecosystem, such as Telefonica, Telecom Italia or NEC. In that role, the fellow will oversee a team of two PhD students and visiting interns, and is expected to both to carry out independent, hands-on activities and to coordinate the work of the students towards experimental demonstrations of ML operation at line rate.

[1] B. Bütün, A.T.-J. Akem, M. Gucciardo, M. Fiore, Fast Detection of Cyberattacks on the Metaverse through User-plane Inference IEEE MetaCom 2023, Kyoto, Japan, Jun 2023
[2] A.T.-J. Akem, M. Gucciardo, M. Fiore, Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests, IEEE INFOCOM 2023, New York, USA, May 2023
[3] A.T.-J. Akem, B. Bütün, M. Gucciardo, M. Fiore, Henna: Hierarchical Machine Learning Inference in Programmable Switches, NativeNI 2022, Rome, Italy, Dec 2022.

The position offers

  •  Access to a cutting-edge 100-Gbps programmable network experimental platform
  •  The possibility of developing or honing PhD student supervising skills
  •  A chance to establish strong work connections to large industry partners
  •  An opportunity to grow soft skills in project management
  •  A vibrant, collaborative, multi-cultural and English-speaking environment
  •  The prospect to publish at top-tier venues in networking
  •  The high quality of life of the region of Madrid, Spain, where we are based.

The position requires

  • A PhD in Computer Science or relevant field obtained by the joining date
  • A solid research record with strong publications in top-tier venues
  • Fluency in written and spoken English
  • Enthusiasm for systems research
  • Competences in network programming (e.g., hands-on experience with P4, bmv2 or Tofino switches) or applied machine learning (e.g., skills in designing and implementing ML models in Keras, PyTorch or Tensorflow for practical use cases).

Inquiries on the position can be directed to the group head, Dr. Marco Fiore, via email at

Candidates shall submit a CV with a complete list of publications, a brief research statement, and the contact details of two referees through the IMDEA Networks hiring portal, for the position: [Post-Doc Researcher] [In line-rate machine learning / Networks Data Science Group] [2023]

Equal Employment Opportunity

IMDEA Networks Institute aims to increase the proportion of women and therefore qualified female applicants are explicitly encouraged to apply. Until a balanced ratio of men and women has been achieved at the institute, preference will be given to women if applicants have similar qualifications. IMDEA Networks Institute actively promotes diversity and equal opportunities. Applicants are not to be discriminated against in personnel selection procedures on the grounds of gender, ethnicity, religion or ideology, age, sexual orientation (anti-discrimination). People with disabilities who have the relevant qualifications are expressly invited to apply.

Applications will be given full consideration until the post is filled.

This position could be cofounded by the project “ORIGAMI: Optimized resource integration and global architecture for mobile infrastructure for 6G” (Grant Agreement number 101139270), funded by the European Commission through Horizon Europe program call HORIZON-JU-SNS-2023.


  1. Remember to select the following option: [Post-Doc Researcher] [In line-rate machine learning / Networks Data Science Group] [2023]
  2. Deadline for receipt of applications: January 14th, 2023 23:59 AoE (15 January 2024, 14:59h Europe/Madrid Time)
  3. If necessary choose as supervisor Marco FIORE