PhD position in the area of LiFi Systems for Unmanned Aerial Vehicles

Pervasive Wireless Systems Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

IMDEA Networks’ Pervasive Wireless System Group headed by Prof. Domenico Giustiniano invites applications for a PhD position in the area of LiFi/Visible Light Communication Systems for Unmanned Aerial Vehicles, understanding, designing and testing experimentally novel LiFi systems for aerial scenarios. As a member of the team, the students will be involved in cutting edge system research, will participate in international projects, and will experimentally verify proposed ideas and concepts.

The selected student will be supervised by Dr Domenico Giustiniano, Leader of IMDEA’s Pervasive Wireless Systems Group

The position offers:

• Full time contract
• Competitive salary
• Reconciliation of personal and work life.
• A unique opportunity to work with cutting-edge research experimental platforms and contribute to scientific publications in top-tier venues.

The position requires:

• Degree / Master in Telecommunications Engineering, Electrical Engineering, or equivalent.
• Excellent understanding of the fundamentals of wireless communications systems.
• Coding skills using Matlab, C/C++, Python.
• High level of English (English will be the working language)

Selected candidates may be invited at IMDEA Networks in Madrid for physical interview and for showing the environment and the lab facilities.

Inquiries on the position can be directed via mail to the supervisor Dr. Domenico Giustiniano (domenico.giustiniano@imdea.org)

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.

PhD position in the IoT devices’ supply chain analysis

Cybersecurity Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The Cybersecurity (https://networks.imdea.org/es/equipo/grupos-de-investigacion/cybersecurity-group/) and Internet Analytics Groups (https://networks.imdea.org/es/equipo/grupos-de-investigacion/internet-analytics-group/)  at IMDEA Networks Institute have a joint opening for one PhD student in the area of IoT Cybersecurity. The successful candidate will design novel methods for the analysis of vulnerabilities and harmful behaviours in IoT products and their software supply chain in the context of the PARASITE project.

A software bill of materials (SBOM) is a list of the software components in a given project and their corresponding version numbers and other metadata. The SBOM can be used to track updates and known security vulnerabilities for each component in the software project’s dependencies. It is also helpful for auditing purposes as it ensures that only authorized dependencies are included in a software project. However, there is a lack of methods and tools to effectively and accurately detect vulnerable dependencies in IoT products and software.

The candidate will develop and apply scalable and efficient software analysis pipelines enhanced with Machine Learning techniques to 1) identify supply chain elements and dependencies in IoT firmware (e.g., extract Software Bill of Materials, SBOMs), 2) detect and analyze vulnerabilities and weak/malicious actors in the supply chain, and 3) assess products compliance with the requirements of the new EU Cyber Resilience Act.

The candidate will make fundamental contributions to unsolved technical and enforcement challenges that the new EU Cyber Resilience Act will bring and to the long and impactful track records of the IAG and Cybersecurity groups in the field of software analysis, cybersecurity, and privacy [See bibliographic references 1-10 below]. The PhD student will have privileged access to various cutting-edge software analysis tools, and to a big data analysis platform with substantial computing resources for their processing.

The position offers:

• hands-on training in software analysis and reversing
• a unique opportunity to work with large-scale IoT firmware and vulnerability databases
• a vibrant, collaborative, multi-cultural and English-speaking research environment
• the prospect to publish applied research at top-tier venues in cybersecurity and networking
• an advantageous path to a successful career in industry or academia [11].
• the high quality of life of the region of Madrid, Spain.

The position requires:

• a B.Sc. in Computer Science, Telecommunications or related field, with a solid academic record. Postgraduate studies (holding a M.Sc. or being currently enrolled in one) will be a plus.
• Good programming skills (e.g., C/C++, Java, and Python) and experience in (or an interest for working in) the area of cybersecurity while conducting practical research.
• Software and data analysis skills are recommended, especially in the area of static and dynamic analysis of software, binary analysis and reverse engineering.
• fluency in written and spoken English,
• enthusiasm for interdisciplinary research with real-world impact.

Inquiries on the position can be directed to the thesis supervisors via email, Dr. Guillermo Suarez-Tangil (guillermo.suarez-tangil “at” imdea.org) or Dr. Narseo Vallina-Rodriguez (narseo.vallina “at” imdea.org)

Candidates shall submit by the call deadline a CV, a motivation letter, and the contact details of two references through the IMDEA Networks Institute hiring portal, at https://careers.networks.imdea.org/.

Bibliographic References of Relevant Group Research Outputs:

[1.] “In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes.” A. Girish, T. Hu, V. Prakash, D. J. Dubois, S. Matic, D. Huang, S. Egelman, J. Reardon, J. Tapiador, D. Choffnes, N. Vallina-Rodriguez  In Proc. of the 2023 ACM on Internet Measurement Conference, 2023.

[2.] SkillVet: Automated Traceability Analysis of Amazon Alexa Skills. J. Edu, X. Ferrer-Aran, J. Such, G. Suarez-Tangil. IEEE Trans. on Dependable and Secure Computing. 2022.

[3.]  IoTLS: Understanding TLS Usage in Consumer IoT Devices. M. Paracha, D. Dubois, N. Vallina-Rodriguez, D. Choffnes. Proc. of the ACM IMC, 2021

[4.]  Trouble over-the-air: An analysis of fota apps in the android ecosystem. Blázquez, E., Pastrana, S., Feal, Á., Gamba, J., Kotzias, P., Vallina-Rodriguez, N., & Tapiador, J.  IEEE Symposium on Security and Privacy (SP) 2021

[5.] An Analysis of Pre-installed Android Software. J. Gamba, M. Rashed, A. Razaghpanah, J. Tapiador, N. Vallina-Rodriguez IEEE Symposium on S&P’20 (BEST PRACTICAL PAPER AWARD, AEPD EMILIO ACED AWARD, CNIL-INRIA PRIVACY RESEARCH AWARD)

[6.] Measuring Alexa Skill Privacy Practices Across Three Years. J. Edu, X. Ferrer-Aran, J. Such, G. Suarez-Tangil. ACM Web Conference, 2022

[7.] Exploring the security and privacy risks of chatbots in messaging services J Edu, C Mulligan, F Pierazzi, J Polakis, G Suarez-Tangil, J Such. Proc. ACM IMC 2022

[8.] 50 Ways to Leak Your Data: An Exploration of Apps’ Circumvention of the Android Permissions Systems. J. Reardon, A. Feal, P. Wijesekera, A. Elazari Bar On, N. Vallina-Rodriguez, S. Egelman. USENIX Security, 2019 (USENIX’19 DISTINGUISHED PAPER AWARD, CNIL-INRIA PRIVACY RESEARCH AWARD, AEPD EMILIO ACED)

[9.] Characterizing Linux-based malware: Findings and recent trends. Carrillo-Mondéjar, J.,, Martínez, J.L., Suarez-Tangil, G.. Future Generation Computer Systems, 2020.

[10.] Androdialysis: Analysis of android intent effectiveness in malware detection. Feizollah, A., Anuar, N. B., Salleh, R., Suarez-Tangil, G., & Furnell, S. (2017).  Computers & security, 65, 121-134

[11] https://networks.imdea.org/team/imdea-networks-team/alumni-network

This contract is part of the project PID2022-143304OB-I00 (PARASITE) funded by MCIN/AEI /10.13039/501100011033/ and by the ERDF, A way of making Europe

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

PhD position in Cross-device Tracking Analysis

Internet Analytics Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The Internet Analytics Group at IMDEA Networks Institute led by Dr. Narseo Vallina-Rodriguez (https://www.narseo.com) (Ramon y Cajal Fellow, AEPD and CNIL Privacy Research Award winner) has an opening for one PhD student in the area of Privacy to analyze and uncover the use of cross-device tracking technologies in the wild.

Cross-device tracking refers to the set of technologies and methods used to track users across multiple devices such as mobile devices, desktop computers, laptops, and smart TVs. These technologies, whose functioning and prevalence are poorly known, work by matching activity across different devices to the same user who performs them by using shared identifiers, such as sign-in data or probabilistic methods, that are in use on each user’s device.

The candidate will design novel methods for the analysis of such privacy-intrusive behaviours in the wild, combining software analysis pipelines and data-driven methods to detect their presence and prevalence, and trackers’ capacity to monitor users across devices, including the detection of side-channels that leverage overlooked channels such as wireless technologies.

The candidate will make fundamental contributions to unsolved technical and enforcement challenges in the privacy domain and to the long and impactful track records of the IAG group in the field of software analysis, cybersecurity, and online privacy [See bibliographic references below]. The PhD student will have privileged access to various cutting-edge software analysis tools, and to a big data analysis platform with substantial computing resources for their processing.

The position offers:

• Data-analysis skills and/or hands-on training in software analysis and reversing
• a vibrant, collaborative, multi-cultural and English-speaking research environment
• the prospect to publish applied research at top-tier venues in cybersecurity and privacy with direct societal and regulatory impnact
• an advantageous path to a successful career in industry or academia [7].
• the high quality of life of the region of Madrid, Spain.

The position requires:

• a B.Sc. in Computer Science, Telecommunications or related field, with a solid academic record. Postgraduate studies (holding a M.Sc. or being currently enrolled in one) will be a plus.
• Good programming skills (e.g., C/C++, Java, R, or Python) and an interest for working in the area of cybersecurity and privacy.
• Software and data analysis skills are recommended, especially in the area of static and dynamic analysis of software, binary analysis and reverse engineering.
• fluency in written and spoken English.
• enthusiasm for interdisciplinary research with real-world impact.

Inquiries on the position can be directed to the thesis supervisors via email to Dr. Narseo Vallina-Rodriguez (narseo.vallina “at” imdea.org)

Candidates shall submit by the call deadline a CV, a motivation letter, and the contact details of two references through the IMDEA Networks Institute hiring portal, at https://careers.networks.imdea.org/.

Bibliographic References of Relevant Group Research Outputs:

[1.] “In the Room Where It Happens: Characterizing Local Communication and Threats in Smart Homes.” A. Girish, T. Hu, V. Prakash, D. J. Dubois, S. Matic, D. Huang, S. Egelman, J. Reardon, J. Tapiador, D. Choffnes, N. Vallina-Rodriguez  In Proc. of the 2023 ACM on Internet Measurement Conference, 2023.

[2.]  IoTLS: Understanding TLS Usage in Consumer IoT Devices. M. Paracha, D. Dubois, N. Vallina-Rodriguez, D. Choffnes. Proc. of the ACM IMC, 2021

[3.]  Trouble over-the-air: An analysis of fota apps in the android ecosystem. Blázquez, E., Pastrana, S., Feal, Á., Gamba, J., Kotzias, P., Vallina-Rodriguez, N., & Tapiador, J.  IEEE Symposium on Security and Privacy (SP) 2021

[4.] An Analysis of Pre-installed Android Software. J. Gamba, M. Rashed, A. Razaghpanah, J. Tapiador, N. Vallina-Rodriguez IEEE Symposium on S&P’20 (BEST PRACTICAL PAPER AWARD, AEPD EMILIO ACED AWARD, CNIL-INRIA PRIVACY RESEARCH AWARD)

[5.] 50 Ways to Leak Your Data: An Exploration of Apps’ Circumvention of the Android Permissions Systems. J. Reardon, A. Feal, P. Wijesekera, A. Elazari Bar On, N. Vallina-Rodriguez, S. Egelman. USENIX Security, 2019 (USENIX’19 DISTINGUISHED PAPER AWARD, CNIL-INRIA PRIVACY RESEARCH AWARD, AEPD EMILIO ACED)

[6.] ““Won’t somebody think of the children?” examining COPPA compliance at scale.” Reyes, Irwin, Primal Wijesekera, Joel Reardon, Amit Elazari Bar On, Abbas Razaghpanah, Narseo Vallina-Rodriguez, and Serge Egelman.  In The 18th Privacy Enhancing Technologies Symposium (PETS 2018). 2018. (CASPAR BOWDEN AWARD)

[7] https://networks.imdea.org/team/imdea-networks-team/alumni-network

This contract is part of the project PID2022-143304OB-I00 (PARASITE) funded by MCIN/AEI /10.13039/501100011033/ and by the ERDF, A way of making Europe

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

PhD position in Sustainable Mobile Networks

NETCOM Lab

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The NETCOM Lab invites applications for a PhD Student position supervised by Prof. Albert Banchs in Sustainable Mobile Networks. The student will work on sustainability in 6G networks, participating in EU projects with leading industrial partners, involving the following topics and tasks:

1. Design and implementation of energy-effcient algorithms and protocols
2. Resource allocation models and algorithms for sustainable networks
3. Network slicing, virtualization and orchestration technologies
4. 6G mobile network architectures
5. Performance and energy analysis and experimental evaluation of wireless systems

Requirements

1. Degree in electrical engineering, telecommunication engineering, computer science, telematics engineering, or equivalent disciplines
2. Proficiency in English is mandatory
3. Excellent academic transcripts
4. Solid background in networking and mobile communications
5. High motivation to conduct a PhD in the area of mobile networking

Inquiries on the position can be directed via mail to the supervisor, Dr. Albert BANCHS (albert.banchs@imdea.org).

Candidates shall submit by the call deadline a CV, a motivation letter, and two reference letters through the IMDEA Networks Institute hiring portal, at:https://careers.networks.imdea.org

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

PhD position in digital twins for 6G mobile networks

NETCOM Lab

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The NETCOM Lab invites applications for a PhD Student position supervised by Prof. Albert Banchs in digital twins for 6G mobile networks. The successful candidate will work closely with a world-leader industrial partner to do research on the use of digital twins to improve the performance of Artificial Intelligence in 6G mobile networks. The goal will be to publish the research results in top worldwide scientific venues and to patent them jointly with the industrial partners.

The position offers:

• hands-on training in 5G/6G mobile networks architectures and protocols
• hands-on training in digital twins and AI models
• a unique opportunity to work with world-leader instrtial partner
• a vibrant, collaborative, multi-cultural and English-speaking environment
• the prospect to publish at top-tier venues in networking
• the prospect to patent results with a high industrial impact

The position requires:

• a degree in Computer Science, Telecommunications Engineering or related field, with a solid academic record
• good programming skills
• a strong interest in mobile networks, digital twins and AI for telecoms
• at least one of (a) knowledge of mobile networks or (b) strong AI know-how
• fluency in written and spoken English
• enthusiasm for interdisciplinary research.

Inquiries on the position can be directed via mail to the supervisor, Dr. Albert BANCHS (albert.banchs@imdea.org).

Candidates shall submit by the call deadline a CV, a motivation letter, and two reference letters through the IMDEA Networks Institute hiring portal, at:https://careers.networks.imdea.org

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.

2 PhD positions on Safe Machine Learning (MSCA FINALITY Doctoral Network)

Global Computing Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

IMDEA Networks Institute, Madrid, is one of the beneficiaries of the MSCA FINALITY (saFe learNIng for lArge scaLe InTerconnected sYstems) Doctoral Network, financed by the European Union in the Call: HORIZON-MSCA-2023-DN-01-01 call of the Horizon Europe program.

In the framework of the FINALITY Doctoral Network, we invite applications for up to two PhD positions working on challenging theoretical and practical problems in Safe Machine Learning. Specifically, we are looking for students to tackle the following research problems in their PhD theses:

 1)    Interpretable machine learning for network adaptation.  In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe management operations meant to make network troubleshooting more rapid and effective.

 2)    Equity of green network-embedded machine learning. In this thesis, the student will investigate sustainable distributed inference architectures, and on distributed learning algorithms, that aim at equalizing the performance of in-network green ML/AI as observed from different and heterogeneous users.

 Selected students will work under the supervision of Vincenzo Mancuso and Antonio Fernández Anta. Students will collaborate with researchers and research support personnel in the OppArch Lab, led by Vincenzo Mancuso and Marco Ajmone Marsan, and in the Global Computing Group, led by Antonio Fernández Anta. The members of the OppArch Lab focus on solutions for extremely high-performing opportunistic architectures for communication and computing in highly dense cellular networks and for infrastructure-less wireless services. The members of the Global Computing Group work on distributed systems, and data acquisition and analysis.

 Successful applicants will work on algorithms and techniques to make Safe Machine Learning available for future large interconnected systems. This is a unique opportunity to develop and test new AI techniques for complex interconnected systems, such as those envisioned in future (6G and beyond) communication networks and in mobile & edge computing platforms.

 Academic Qualifications and Skills Required:

• Strong motivation to tackle challenging research problems.
• M.Sc. or equivalent in Mathematics, Computer Science, or Electrical Engineering
• Strong interest in applied optimization, AI/ML, algorithm design (primary); and communication/computing systems (secondary). Prior research experience and publications are a plus.
• Excellent academic results (First-class honors or equivalent).
• Enthusiasm for interdisciplinary research.
• Proficiency in written and spoken English is mandatory.

What we offer:

• A vibrant international workplace with the opportunity of collaborating with top research groups at the institute and elsewhere
• The prospect to publish at top-tier venues in networking/related fields
• Help with moving to Spain and settling at IMDEA
• Competitive salary package

For any further question please contact:

Dr.Vincenzo Mancuso (vincenzo.mancuso@imdea.org) https://networks.imdea.org/es/equipo/equipo-imdea-networks/personas/vincenzo-mancuso/

Dr. Antonio Fernández Anta (antonio.fernandez@imdea.org)

https://networks.imdea.org/es/equipo/equipo-imdea-networks/personas/antonio-fernandez-anta/

This contract is cofounded by the project “FINALITY. Safe learning for large scale interconnected systems” (Grant Agreement number 101168816), funded by the European Commission through Horizon Europe program call HORIZON-MSCA-2023-DN-01.

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.

PhD student position in Data-driven Cybersecurity

Cybersecurity Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

IMDEA Networks Institute invites applications for research positions in the area of cybersecurity. The selected candidate will become a member of the Cybersecurity group led by Dr. Guillermo Suarez-Tangil.

The candidate will conduct cutting-edge research in the application of data-driven analysis methods to understand and mitigate real-world problems in cybersecurity. In particular, the objective of this position is to create an observatory, which allows studying the privacy and security implications to mitigate cyber-security risks in the digital transition as in [1-4].

The position offers:

• The prospect to publish at top-tier venues
• The opportunity to work in a thrilling and international environment
• The possibility to enroll in a Ph.D. program

The position requires:

• A degree in Computer Science or a related field, with a solid academic record
• Background in statistical learning or data analysis
• Background in cybersecurity
• Programming skills
• Proficiency in English

What we offer:

• Competitive salary. The candidate’s experience will be considered.
• Full-time contract. Includes social and health benefits.

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

This contract is co-financed by the project “COMET. Understanding the Trail of the Malware Ecosystem from the Underground Markets to the Surface” with reference No. TED2021-132900A-I00, funded by MICIU/AEI /10.13039/501100011033 and European Union with NextGenerationEU/ PRTR.

PhD position in network inference at 100 Gbps

Networks Data Science Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The Networks Data Science group (http://nds.networks.imdea.org/) at IMDEA Networks Institute has an opening for one PhD student in the area of network intelligence. The successful candidate will design original solutions for the integration of inference models in programmable user planes composed of programmable switches, smart network interface cards (smartNICs), and network processing units (NPUs). The PhD studies will build upon and substantially improve recent and promising research by the NDS group [1] and the international community [2-4], with the goal to turn the transport domain of the network into an effective traffic processor capable of performing tasks like traffic flow classification, anomaly identification or intrusion detection at 100 Gbps. The candidate will implement and evaluate the solutions in a state-of-the-art experimental platform including a variety of programmable user-plane equipment, so as to demonstrate viability and performance in industry-grade environments.

The position offers:

• Hands-on training in network programming via the P4 language
• Hands-on training in AI/ML design and integration in programmable user planes
• An opportunity to work with production-grade experimental platforms
• A vibrant, collaborative, multi-cultural and English-speaking environment
• The prospect to publish at top-tier venues in networking
• An advantageous path to a successful career in industry or academia [5]
• The high quality of life of the region of Madrid, Spain, where we are based.

The position requires:

• A degree in Computer Science or related field, with a solid academic record
• Excellent programming skills
• A strong interest in applied AI/ML and systems (prior experience is a plus)
• Fluency in written and spoken English
• Enthusiasm for interdisciplinary research.

Inquiries on the position can be directed to the thesis supervisor, Dr. Marco Fiore, via email at marco.fiore@imdea.org.

Candidates shall submit by the call deadline a CV, a motivation letter, and the contact details of two references through the IMDEA Networks Institute hiring portal, at https://careers.networks.imdea.org/.

[1] A.T.-J. Akem, M. Gucciardo, M. Fiore, Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests, IEEE INFOCOM 2023

[2] C. Zheng, M. Zang, X. Hong, R. Bensoussane, S. Vargaftik, Y. Ben-Itzhak, Zilberman, Automating in-network machine learning, arXiv, 2022

[3] G. Xie, Q. Li, Y. Dong, G. Duan, Y. Jiang, J. Duan, Mousika: Enable general in-network intelligence in programmable switches by knowledge distillation, IEEE INFOCOM 2022

[4] G. Zhou, Z. Liu, C. Fu, Q. Li, K. Xu, An efficient design of intelligent network data plane, USENIX Security 2023

[5] https://networks.imdea.org/team/imdea-networks-team/alumni-network/

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.

This position can be co-financed by project “ORIGAMI: Optimized resource integration and global architecture for mobile infrastructure for 6G” cofunded by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101139271.

This position could be co-financed by the project “6G-IRONWARE: Predicción de tráfico de red móvil robusta en el tiempo para el 6G” (grant CNS2023-143870), funded by MICIU/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.

2 PhD positions in Mobile Network Data Analysis

Networks Data Science Group

Deadline for receipt of applications: October 30, 2024 23:59 AoE (31 October 2024, 13:59h Europe/Madrid Time)

The Networks Data Science group at IMDEA Networks Institute has an opening for two PhD students in the area of mobile network traffic analysis for urban social sciences. The successful candidates will explore large-scale real-world datasets of mobile app traffic collected in operational networks towards discovering knowledge relevant to the sociology, geography and economics of cities.

Prospective applicants can refer to recent publications of the group, including:

• A.F. Zanella, D. Madariaga, S. Mishra, O.E. Martínez-Durive, Z. Smoreda, M. Fiore, Characterizing, Modeling and Exploiting the Mobile Demand Footprint of Large Public Protests IEEE IMC 2024, Madrid, Spain, Nov 2024
• S. Mishra, A.F. Zanella, O.E. Martínez-Durive, D. Madariaga, C. Ziemlicki, M. Fiore, Characterizing 5G Adoption and its Impact on Network Traffic and Mobile Service Consumption IEEE INFOCOM 2024, Vancouver, Canada, May 2024
• S. Bakirtzis, A.F. Zanella, S. Rubrichi, C. Ziemlicki, Z. Smoreda, I. Wassell, J. Zhang, M. Fiore, Characterizing Mobile Service Demands at Indoor Cellular Networks ACM IMC 2023, Montreal, Canada, Oct 2023
• A.F. Zanella, A. Bazco-Nogueras, C. Ziemlicki, M. Fiore, Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements ACM IMC 2023, Montreal, Canada, Oct 2023
• A.F. Zanella, O.E. Martínez-Durive, S. Mishra, Z. Smoreda, M. Fiore
• Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage IEEE INFOCOM 2022, Virtual, May 2022
• S. Mishra, Z. Smoreda, M. Fiore, Second-level Digital Divide: a Longitudinal Study of Mobile Traffic Consumption Imbalance in France The ACM Web Conference 2022, Virtual, Apr 2022

Skills Required

• A degree in Computer Science or related field, with a solid academic record
• Strong programming skills
• Fluency in written and spoken English
• Enthusiasm for interdisciplinary research
• Previous experience in data analysis (not mandatory, but appreciated).

Candidates shall submit a CV including education record and a complete list of past experiences, plus the contact details of any referees if available, through the IMDEA Networks hiring portal (https://careers.networks.imdea.org/).

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.