Call for applicants:

3 PhD positions available in the EU Horizon 2020 Marie Skłodowska-Curie Project MINTS

(MIllimeter-wave NeTworking and Sensing for Beyond 5G)

Applicants are invited for 3 PhD positions (“Early Stage Researchers”, ESRs) to be funded by the Marie-Sklodowska-Curie Innovative Training Network “MINTS – MIllimeter-wave NeTworking and Sensing for Beyond 5G” within the Horizon 2020 Programme of the European Commission.

MINTS provides unique system-oriented training to 15 ESRs, nurturing a new generation of innovators thanks to internationally recognized researchers with broad experience in research, training, and participation in EU, national, and industry-sponsored projects. With the intensive involvement of industrial beneficiaries and partner organisations (Nokia, NEC, Sony, NI, Pharrowtech, Telefonica, Italtel), the ESRs will obtain in-depth knowledge and skills in mmWave networks and its key applications. The 15 ESRs are distributed over 8 beneficiaries in 6 countries: KU Leuven (Belgium), IMDEA Networks Institute (Spain), TU Darmstadt (Germany), NEC (Germany), Lund University (Sweden), Nokia Bell Labs (Finland), University of Padua and University of Trento (Italy). Additionally, the MINTS consortium is completed by 6 partner organisations: Pharrowtech (Belgium), Telefonica (Spain), NI (Germany), Carlos III University of Madrid (Spain), Italtel (Italy), and Sony (Sweden).

Each ESR will be working towards a PhD degree, supported by a carefully chosen supervisory team that maximizes both scientific excellence as well as interdisciplinary and intersectoral collaboration. The interdisciplinary and inter-domain training will make MINTS ESRs highly employable in various industries, academia, or public government bodies.

Key dates


  • Application deadline: As soon as possible, but no later than Dec 31, 2020


Key background info


MINTS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Recruitment targets ESR backgrounds in:

  1. Wireless communication
  2. Mobile Networks
  3. Signal Processing
  4. Electronic Engineering
  5. Computer Science

In total 15 ESRs work in the project at the 8 hosting institutions across Europe.

We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization. Solid written and oral communication skills in English are prerequisites of any successful application (typically IELTS min. 7, TOEFL internet-based min. 90 or similar level as proven by other tests). Every applicant can apply for up to three ESR positions (first, second, third choice)


Career Stage

Early Stage Researcher (ESR) or 0-4 yrs (Post Graduate)


Benefits and salary

The successful candidates will receive an attractive salary in accordance with the MSCA regulations for ESRs. The fellowship will consist of a competitive salary. The exact (net) salary will be confirmed upon appointment and is dependent on local tax regulations and on the country correction factor (to allow for the difference in cost of living in the different EU Member States). The salary includes a living allowance, a mobility allowance and a family allowance (if married).  The guaranteed PhD funding covered by the training network is for 36 months (i.e. EC funding, additional funding is possible, depending on the local Supervisor, and in accordance with the regular PhD time in the country of origin). In addition to their individual scientific projects, all fellows will benefit from further continuing education, which includes internships and secondments, a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.


On-line Recruitment Procedure

All applications proceed through the on-line recruitment portal on this page. Candidates apply electronically for one to maximum two positions and indicate their preference. Candidates provide all requested information including a detailed CV – Europass format obligatory – and motivation letter. During the registration, applicants will need to prove that they are eligible (cf. ESR definition, mobility criteria, and English language proficiency).

The selected ESRs are to start their research as quickly as possible.


Applicants need to fully respect three eligibility criteria (to demonstrated in the Europass cv):

Early-stage researchers (ESR) are those who are, at the time of recruitment by the host, in the first four years (full-time equivalent) of their research careers. This is measured from the date when they obtained the degree which formally entitles them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided, irrespective of whether or not a doctorate was envisaged.

Conditions of international mobility of researchers:

Researchers are required to undertake trans-national mobility (i.e. move from one country to another) when taking up the appointment. At the time of selection by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to their recruitment. Short stays, such as holidays, are not taken into account.

English language: Network fellows (ESRs) must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training.

The available PhD positions in the EU Horizon 2020 Marie Skłodowska-Curie Project MINTS:



ESR1: Efficient channel estimation and beam training with (partial) channel state information

ESR1: Efficient channel estimation and beam training with (partial) channel state information

Host: IMDEA Networks Institute, Madrid, Spain

PhD awarding institution: Carlos III University of Madrid, Spain

Main Supervisor: Prof. Joerg Widmer [IMDEA Networks]

Co-supervisors/mentors: Dr. Jesus O. Lacruz [IMDEA Networks]

Secondment partners: IMEC, NEC

Required profile: Telecommunication, Electrical Engineering

Desirable skills/interests: Signal processing, array processing, wireless communications, wireless networking, optimization, hands-on experience with hardware and systems (the applicant should be proficient in at least one or two of the skills)


To design custom measurement beam patterns for phased antenna arrays to quickly acquire Channel State Information (CSI);

To investigate tradeoffs between link SNR maximization and interference minimization in order to balance fairness and efficiency throughout the network;

To investigate algorithms that acquire the full CSI when only partial information is available via efficient procedures, either involving prior measurements or by factoring in external information.


ESR2: Machine learning-enabled fast and hybrid mmWave beam tracking

ESR2: Machine learning-enabled fast and hybrid mmWave beam tracking

Host: KU LEUVEN (Leuven University), Belgium

PhD awarding institution: KU LEUVEN (Leuven University), Belgium

Main Supervisor: Prof. Guy Vandenbosch [KU Leuven]

Co-supervisors/mentors: Prof. Sofie Pollin and Dr. Evgenii Vinogradov [KU Leuven]; Prof. Fredrik Tufvesson [Lund University]

Secondment partners: Lund University, Sony

Required profile: Telecommunications, Electrical Engineering

Desirable skills/interests: signal processing, optimization, machine learning, programming & implementation skills (the applicant should be proficient in at least one or two of the skills)


To extract multidimensional (time, frequency, space) statistics from high-resolution channel measurements;

To design a low complexity mmWave hybrid beamforming antenna and a beam tracking algorithm for realistic channels using machine learning approaches.


ESR14: Context- and content-awareness in V2X communication

ESR14: Context- and content-awareness in V2X communication

Host: TU Darmstadt, Darmstadt, Germany

PhD awarding institution: TU Darmstadt, Germany

Main supervisor: Prof. Ralf Steinmetz [TU Darmstadt]

Co-supervisors/mentors: Prof. Matthias Hollick [TU Darmstadt]; Prof. Sofie Pollin [KU Leuven]

Secondment partners: NI, KU Leuven

Required profile: Electrical Engineering, Computer science, Applied Mathematics

Desirable skills/interests: Applied machine learning techniques, Stochastic modeling, Physical layer multicast (the applicant should be proficient in at least one or two of the skills)


To facilitate the transmission of large volumes of data in vehicular networks under high-speed mobility;

To devise proactive mechanisms that leverage on board sensors to trigger handover or beam alignment procedures;

To design physical layer multicasting approaches where a multi-lobe beam pattern is formed to communicate with several vehicles simultaneously.

Apply Here



This project is to receive funding from the European Union’s EU Framework Programme for Research and Innovation Horizon 2020, pending the formal completion of the Grant Agreement (No 861222) procedure.