PhD position in Marie Slodowskwa-Curie Doctoral Network “NESTOR - Next generation high-speed optical networks for metro access”; research topic: “DC4: Digital twin of physical layer for short-reach scenarios in metro/access/DCI networks”

12 Mar 2024
Job Information

Organisation/Company

Politecnico di Torino

Department

Department of Electronics and Telecommunications

Research Field

Physics » Electronics
Physics » Optics
Physics » Electromagnetism
Engineering » Computer engineering
Engineering » Electronic engineering
Engineering » Communication engineering
Computer science » Modelling tools
Computer science » Programming

Researcher Profile

First Stage Researcher (R1)

Country

Italy

Application Deadline

30 Apr 2024 - 23:59 (Europe/Rome)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

36

Offer Starting Date

16 Sep 2024

Is the job funded through the EU Research Framework Programme?

HE / MSCA

Marie Curie Grant Agreement Number

101119983

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

No

Offer Description

This PhD position is part of the Marie Skłodowska-Curie Doctoral Network “NESTOR - Next generation high-speed optical networks for metro access”, funded by the European Union’s Horizon Europe Research and Innovation Programme.
NESTOR studies the efficiency in connectivity as it is the major driver in the modern information society, where the range of data-driven applications is exploding, and new information-based value chains are rapidly emerging. Optical networks are the backbone of the global communication infrastructure, interconnecting billions of people and a huge number of various autonomous devices, control systems, and machines. The demand growth is especially pronounced in the access and metro links, where data rates largely exceeding the current <1 Tb/s will be required. Also, features such as the financial cost of the system elements, latency, dynamic reconfigurability, and energy consumption gain progressively more importance for the new generation of access and metro networks.
The objective pursued by NESTOR is the combination of the advanced coherent pluggable transceivers with newly developed artificial intelligence/machine learning (AI/ML) algorithms, to allow the optical network to be effectively optimized, e.g., to minimize the power consumption or to use the optical spectrum more efficiently. At the same time, the DSP telemetry may transform the metropolitan fiber infrastructure into a large, distributed sensor.
The NESTOR trained researchers will take advantage of the expertise of the top academic groups (Aston, PoliTO, UPC, SSSA, and TU/e) and core telecom industry (Infinera, BT, Orange, SM-Optics, VPI and Ericsson). NESTOR will provide Fellows with a uniquely broad education ranging from recent advances in ML&AI to real-world telecom engineering, which will enable them to design and implement high-capacity access and metro networks.
The main research topic of the offered PhD position will be on the development of the digital twin of physical layer for short-reach scenarios in metro/access/DCI networks. The main objectives of the planned research activities will be: Quality of transmission (QoT) modelling for multiband short-reach scenarios to enable software-defined optical networking (SDON), and results integrated in the open-source SW GNPy: WDM digital twin for open networks. Metro/access/DCI additional QoT impairments will be developed for
• GSNR degradation introduced in ROADMs by filtering penalties, PDL and crosstalk due to side channels and residual dropped channels, effect of dispersion compensation, mixed propagation of legacy 10G and DP-coherent TRX, power consumption models and latency assessment;
• noise in TRX to be considered because of low power budget;
• multicarrier TRX to properly optimise its flexibility to adapt to filtering effects and to enable P2MP
• ML models trained by telemetry data to be used synergistically with QoT model will be also developed to reduce the QoT uncertainties due lack of knowledge on physical layer;
• Models will be integrated as open-source SW compatible with GNPy experimentally tested.
Moreover “secondments” are planned during the PhD studies.

Requirements

Research Field

Engineering » Communication engineering

Education Level

Master Degree or equivalent

Research Field

Engineering » Computer engineering

Education Level

Master Degree or equivalent

Research Field

Engineering » Electronic engineering

Education Level

Master Degree or equivalent

Research Field

Physics » Optics

Education Level

Master Degree or equivalent

Skills/Qualifications

- Fiber optics transmission physics
- Optical communications
- Optica networking

Specific Requirements

- Optical transmission modeling
- AI/ML
- Python coding

Languages

ENGLISH

Level

Good

Research Field

Engineering » Communication engineeringPhysics » OpticsEngineering » Computer engineering

Years of Research Experience

None

Additional Information
Benefits

The candidate will benefit of a salary of approximately € 30,000 to € 50,000 per annum (depending on family status). She/he will conduct research in recognized international teams, will attend all the common training events of the Network (PhD schools, workshops, and convened sessions at international conferences) and will be in contact with the other doctoral candidates of the network. The guaranteed PhD funding is for 36 months. 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.

Eligibility criteria

All candidates must comply with the Marie Sklodowska-Curie Actions eligibility requirements.
In particular candidates:
• must not yet have been awarded a doctoral degree;
• must carry out trans-national mobility and not have resided or carried out their main activity (work, studies, etc.) within the host country for more than 12 months in the three years immediately prior to recruitment (short stays such as holidays are not taken into account).
To be eligible for a PhD at Politecnico di Torino, students are bound to have the following requirements:
1) A M.Sc. degree (i.e. 2nd level title, as defined by the Bologna Process), issued by an officially recognized academic institution, which grants admission in PhD programmes in the country of issuance.
In order to evaluate the University career, the candidate should provide:
• Bachelor's degree
• Official Transcript of Records
• Syllabus/Course description
• Master's degree OR official university document stating provisional date of graduation (if not graduated yet)
• Official Transcript of Records
• Syllabus/Course description
The documents shall be issued by the relevant university.
Documents issued in Italian, English, French, Spanish are accepted. If the documents are written in other languages, please upload together both the original version AND the official translation in Italian or English and attach the merged document.
Academic qualifications are accepted to take part in the selection process with the minimum average grade illustrated in Annex 3 of the Call for admission.
The original diplomas and transcripts should be available by 31st October at the latest (or before enrollment to PoliTO).
2) One of the following certificates of English language knowledge, regardless of the date of obtainment:
• IELTS with a minimum score of 5.5
• one of the language certificates accepted in substitution for IELTS 5.5 by Politecnico di Torino and listed in the table “Table of 23/09/2019 updated on 22/12/2022 (transitional period)” available at: https://didattica.polito.it/zxd/b5eda0a74558a342cf659187f06f746f/9dde3c…
• be exempted from presenting an English language certificate in accordance with the terms of Annex 4 of the Call for Admission.

Selection process

Candidates will be assessed by a committee specifically appointed by Politecnico di Torino. They will be evaluated based on their resumes and on an interview, either in person or by telematic way.
In order to apply, candidates are also required to provide the following documents to the email address: [email protected]
1. full CV, demonstrating their personal study career and proving that they match the eligibility criteria already described above;
2. motivation letter;

Additional comments

Politecnico di Torino guarantees equal gender opportunities for the provision of grants.

Work Location(s)

Number of offers available

1

Company/Institute

Politecnico di Torino

Country

Italy

State/Province

Torino

City

Torino

Postal Code

10129

Street

Corso Duca degli Abruzzi 24

Geofield

Where to apply

E-mail

[email protected]

Contact

State/Province

Torino

City

Torino

Website

http://www.polito.it
https://planet.polito.it/home/

Street

Corso Duca degli Abruzzi 24

Postal Code

10129

E-Mail

[email protected]

STATUS: EXPIRED