Call for application 38° cycle


Educational goals and objectives

MATHEMATICS
The Ph.D. programme of the Mathematics Department prepares its
students for either a professional or an academic career in the area of
Mathematics and its applications.
To this aim the Ph.D. program provides :
- a training which is both of high quality and and wide spectrum;
- opportunities for developing research skills;
- actual research work in fields that are at the forefront of Mathematics
and its many applications in different fields.
The quality of our Ph.D program is ensured by the very high standards of
research activity carried out in the Department (one of the best in Italy,
according to the VQR) and the network of scientific contacts developed
by the members of the Department of Mathematics. Moreover, belonging
to the Vito Volterra graduate school gives further opportunities for
scientific and cultural contacts.
The graduate program in Mathematics offers training in Mathematics
pure and applied.
Studies in Pure Mathematics are aimed to those students that wants to
work in one of the many fields of Pure Mathematics, a field which is
widely represented in our Department, in all its facets, from the most
abstract to the ones directly inspired by natural sciences.
Studies in Applied Mathematics are instead aimed to those students that
a particular interest for those problems in the natural sciences,
economics and the social sciences that can be tackled with Mathematical
tools; this program is also a way for widening scientific knowledge at
large and giving a contribution to the development of Mathematics within
other sciences.
Study and research activities are structured as a three-year programme.
Within the programme, students follow courses (in their first and second
Settore Dottorato di Ricerca
years), develop their own research with the direct guidance of a
supervisor, and participate in other general research activities of the
Mathematics Department. Information about these activities may be
obtained by accessing the Department's homepage
Beside specific, advanced courses of the Ph.D. programme, the
Department offers specialized graduate courses. Provisional advisors
are assigned to entering students, and at the end of the first year
supervisors are chosen based on the research preferences of the
students.
In the first year, students focus on intensive course work, meant to
provide tools for successful research. In the second year, in addition to
some coursework, students develop their research project and regularly
attend seminars and colloquia. Their activity is closely supervised and
monitored; in particular, a comprehensive qualifying exam must be taken
at the end of the first year. In the third year, after completing their
research work, students present at a specific Department Forum the
results of their Ph.D. thesis. Of course this is formally defended a few
months later.
Further information are available on
www.mat.uniroma1.it/ricerca/dottorato

Specifiche economiche

Tipologia 1: DM118
Transizione digitale Generiche Pubblica Amministrazione Patrimonio culturale

Tipologia 2: DM117 Tipologia 3: PE/PNC/CN/TP Tipologia 4:Enti terzi
PE/PNC CN/TP
1 0 0

Tipologia 5: Sapienza Senza borsa
5 0

Tematiche, curriculum e competenze specifiche
Themes, curriculum and specific competence

B - ATENEO CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications AI & Big Data analytics for complex/large systems
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO CN - non associata a curriculum

- CN4, Centro Nazionale di Ricerca per la mobilità sostenibile, Spoke 9 - Urban mobility Modelling and simulation of urban mobility of persons and vehciles
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN4, Centro Nazionale di Ricerca per la mobilità sostenibile, Spoke 9 - Urban mobility Modelling and simulation of urban mobility of persons and vehciles
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

B - ATENEO CN - non associata a curriculum

- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications Multiscale modelling of complex systems
Ente finanziatore: Sapienza Università degli Studi di Roma
Competenze richieste: nessuna competenza specifica richiesta
- CN1, Centro Nazionale di Ricerca HPC, Big data e Quantum Computing, Spoke 6 - Multiscale Modeling & Engineering Applications Multiscale modelling of complex systems
Founded by: Sapienza Università degli Studi di Roma
Required skills: no specific skill required

C - PNRR351 - non associata a curriculum

- Modelli matematici per la simulazione e il controllo delle pandemie
Competenze richieste: nessuna competenza specifica richiesta

D - PNRR352 - non associata a curriculum

- Economia circolare: ridurre l’e-waste tramite strumenti di intelligenza artificiale
Competenze richieste: nessuna competenza specifica richiesta
- Circular economy: reducing e-waste through AI tools
Required skills: no specific skill required

Il candidato sceglierà una tematica in fase di presentazione della candidatura on line e dovrà obbligatoriamente allegare una lettera motivazionale per ciascuna tematica selezionata (il caricamento della lettera vincola la validità della candidatura)


Admission Procedure

Qualifications assessment The admission committee will establish
the criteria taking into account the
following parameters:
1. academic career, with particular attention to the
grades obtained in the various classes,
the actual duration of the academic
program, the relevance of the studied
topics;
2. motivational letter;
3. recommendation letters;
4. publications and scientific
collaborations with universities or other
research institutions.
After this first evaluation the committee
will assign up to 40/120 points. The
minimal score needed for the admission
to the interview is 20/120.

Oral interview Each candidate will be interviewed twice:
the two interviews will be held one after
the other, on the same day. In the first
interview the candidate will be questioned
on his/her scientific interests (past and
future); in the second interview the
candidate will be questioned on
background topics centered around
his/her scientific interests. For the two
interviews the
committee will assign up to 40/120 points
each. Passing grades are 20/120 in each
interview. The interviews may be
performed in English if needed and they
may be performed remotely.
language ITALIANO


contacts and info https://phd.uniroma1.it/web/MATEMATICA_nD3519_IT.aspx

Curriculum studiorum

Graduation date and grade of the Master's degree
detailed list of exams including completion dates and scores of Masters's degree
Graduation date and grade of the Bachelor’s degree
detailed list of exams including completion dates and scores of Bachelor's degree
History of Scholarships, Research Grants (or similar)
Certificates of Foreign Languages
Certificates of participation in post-graduate university courses
Other University Awards/Degrees (e.g.: awards in competition, second degree)
Computer skills

Required documentation

§ degree thesis abstract
mandatory, the file must be uploaded within 25/08/2022

§ first letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00
Both recommendation letters must be sent directly by the letter writers on the application management system, before 25 august. The letters are strongly recommended and contribute substantially to the assignment of points in the evaluation of qualifications.

§ second letter of introduction (by a teacher)
optional, the letter must be uploaded by the referee by il 25/08/2022 ore 14.00
Both recommendation letters must be sent directly by the letter writers on the application management system, before 25 august. The letters are strongly recommended and contribute substantially to the assignment of points in the evaluation of qualifications.

§ letter of motivation (by the candidate)
mandatory
The applicant should describe his/her research interests and, possibbly, indicate names of Professors with whom he/she may want to work with., the file must be uploaded within 25/08/2022

§ degree thesis (complete)
optional, the file must be uploaded within 25/08/2022

§ publications (a single pdf for each publication)
optional, the file must be uploaded within 25/08/2022

Language Skills

No languages required

Exam Schedule

Qualifications assessment
day29/08/2022
notesnone
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/pagina.aspx?i=3519&l=IT&p=556
date of publication02/09/2022
contactsdottorato@mat.uniroma1.it

Oral interview
day05/09/2022
notesIl calendario delle prove orali sarà pubblicato con la valutazione dei titoli entro il 02/09/2022
time09:00
classroomAula B
addressDipartimento di Matematica, Edificio Guido Castelnuovo (CU006) all'interno della Città Universitaria "La Sapienza" di Roma, P.le Aldo Moro, 5.
publication on notice boardNO
publication on the web siteYes
web sitehttps://phd.uniroma1.it/web/pagina.aspx?i=3519&l=IT&p=556
date of publication19/09/2022
contactsdottorato@mat.uniroma1.it

Evaluation scale

file:visualizza il file
file (eng):visualizza il file (eng)

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma