Call for application - 2020
Doctoral Programme in Industrial Innovation 36th cycle
The Call is CLOSED
Announcement of Selection here
Admission requirements and topics
The requirements and application procedure are detailed in the PhD Call (see the "Downloads" area on the right). Only the Italian version of the PhD Call is legally binding.
To participate in the PhD Call, applicants must have an academic degree which grants access to a third level education programme (PhD) in the country it was issued. In particular, applications are accepted from applicants who hold:
♦ an Italian “Laurea magistrale” instituted in conformity with Italian Ministerial Decree 270/2004, or
♦ a university degree of the previous regulations (Italian "Laurea specialistica " or "Diploma di Laurea"), or
♦ an equivalent degree obtained abroad (Master's degree) and recognized as equivalent to the Italian "Laurea magistrale" by the Admissions Committee for the sole purposes of admission to the Doctoral programme, also within the framework of mobility and cooperation inter-university agreements.
Applications are also accepted from students who expect to complete their degree by 31 October 2020.
The selection is based on the evaluation of the applicant’s titles and qualifications.
Deadline: 25 August 2020, 16:00 (Italian time, GMT +2)
The application must be sent online at https://www.unitn.it/en/apply/dott. Applications sent by other means are not accepted.
To obtain an account at the University of Trento, register at https://www.unitn.it/account. It is strongly recommended not to wait until the last few days prior to the deadline to submit your application.
After completing and sending the application, please make sure to receive an email notification confirming the definitive completion of the application procedure.
Applicants may also opt for additional scholarships and positions reserved to employees of partner companies, which will be available AFTER the publication of this call and published on the selection website.
PLEASE NOTE:
The applicants who will have the application open after the publication of additional scholarships or positions reserved to employees of partner companies can apply for those scholarships by using the entry “Other” in the proper section of the application online.
The applicants who will have already closed and sent the application before the publication of additional scholarships or positions reserved to employees of partner companies can apply for those scholarships by an additional application available at https://www.unitn.it/en/apply/dott only from August 27 to August 31, 2020, at 04.00 PM (GMT +2) Italian time. Please use the same credentials of the main application.
Applicants who have already closed their application before the deadline and would like to participate also for the IE position without scholarship reserved to employees should express their interest by sending their research proposal to industrial-innovation [at] unitn.it indicating in the subject: “Application ID - Applicant’s Surname and Name – PhD Programme in Industrial Innovation – 36th Cycle - interest for position IE”) within - and not after - September 6th, 2020.
The list below provides a short non-exhaustive summary of what to upload on the application:
♦ scanned copy of the applicant's ID or passport
♦ M.A. degree transcript of records and diploma
♦ Curriculum Vitae
♦ Master's thesis abstract
♦ Motivation letter
♦ Research Proposal
♦ Certificate attesting the knowledge of English language at B1 level
The application is subject to €15 non-refundable fee.
Scholarships
|
Funding Body |
N. |
Research topic |
Link |
|
Alitech S.r.l. |
1 |
A - Measurement of the thermal efficiency/performance of a Tunnel Baking Oven for Bread |
|
|
DAV COIL S.r.l. |
1 |
B - Development of Innovative Heat Exchanger |
|
|
DISI (UniTrento) and EIT Digital |
1 |
C - Low-latency audio streaming over 5G networks |
|
|
ETC Sustainable Solutions S.r.l. |
1 |
D - Innovative Machine Learning Methods for Wastewater Plant Monitoring |
|
|
Sinapsi S.r.l. |
1 |
E - Data-driven Marketing and Digital Strategy: AI-based energy consumption analysis methods and algorithms for energy efficiency and creation of added value for the services market |
|
|
ENYR S.r.l. |
1 |
F - ML-driven data transformation for renewable power generation data model |
|
|
CNR and BLM Group - Adige S.p.A. |
1 |
G - Ontology-driven support to fault diagnosis of manufacturing machines based on service mail flows and repair records |
|
|
FBK in collaboration with Dedagroup S.p.A. |
1 |
H - Artificial Intelligence for Digital Transformation |
|
|
FBK in collaboration with Intecs Solutions S.p.A. |
1 |
I - Formal Requirements Specification and Validation in Domain Specific Languages |
|
|
FBK in collaboration with Bosch |
1 |
J - Formal Methods for the Design of Safety Solutions in Automated Systems |
|
|
Bruno Cell S.r.l. |
1 |
K - Cultured meat from pluripotent stem cells |
|
|
FBK |
1 |
L - Application of natural language processing technologies to clinical cases - additional (published on 21/08/2020) |
All above scholarships are subject to acceptance of the full transfer of the ownership of the intellectual property of the research results.
Positions without scholarship, reserved to employees of partner companies (working on highly qualified research activities):
|
Company |
N |
Research Topic |
Link |
|
MPR S.r.l. |
1 |
AE - UV curable coating for piping |
|
|
Exprivia S.p.A. and EIT Digital
|
2 |
BE - Artificial Intelligence for Clinical Decision Support |
|
|
CE - Clinical Natural Language Processing and Clinical Big Data |
|||
|
Airpim S.r.l. |
1 |
DE - Distributed Coordination and Collaboration Middleware for IoT |
|
|
Energenius S.r.l. and EIT Digital |
1 |
EE - Edgergenius: delivering AI analytics in the fog for retail |
|
|
g.tec medical engineering GmbH and EIT Digital |
1 |
FE - Brain-Computer Interface - additional (published on 07/07/2020) |
|
|
Huawei Technology Duesseldorf GbmH |
1 |
GE - Research on situation aware, dynamic authorization in automotive - additional (published on 20/07/2020) |
|
|
CMS S.p.A |
1 |
HE - Cooling theory for thermoplastic materials used in SEAM (Screw Extrusion Additive Manufacturing) - additional (published on 17/08/2020) |
|
|
ENOGIS s.r.l. |
1 |
IE - Deep Learning for Predictive Agronomics - additional (published on 02/09/2020) |
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