2026-IdrDip-07-sanpubb - Neurodevelopment, Mental Health and Psychological Wellbeing of Children and Adolescents

11 ore fa

caserta, campania, Italia Italian Ministry of Education, University and Research Tempo pieno

Organisation/Company Università di Pavia Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 24 Nov 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The aim of the project is to describe the
neuropsychological health of children and adolescents
residing in Lombardy through a longitudinal analysis of
healthcare service use. The project will estimate the
prevalence and incidence of neurodevelopmental and
mental health disorders and analyse continuity of care,
temporal trends, geographical distribution, and individual
and area-level factors associated with critical conditions.
The activities associated with the assignment include the
development and application of statistical and
epidemiological methods to estimate relevant indicators;
temporal and geographical analyses using multivariable
statistical and Bayesian models; identification of factors
associated with critical conditions; preparation of
technical reports and scientific publications; and
presentation of the findings at scientific events.

The public call with detailed attendance and selection rules (Art 4 and 6) can be found at: https://pica.cineca.it/unipv/tipologia/idr

The selections are open to candidates, Italian or foreigner, in possession, on the date of the deadline for submitting applications for the admission to the selection, of a master's degree or single-cycle, degree obtained no more than six years previously are eligible to participate in the selection process. These degrees must be relevant to the subject of the research activity.

An advanced educational background in medical statistics
and epidemiological methodology is required, together
with in-depth knowledge of multivariable statistical
models. In particular, expertise in the application of
Bayesian models for the geographical mapping of
epidemiological measures, as well as research experience
in epidemiological and real-world studies, will be
considered an asset.
Documented experience in the management and analysis
of health administrative records and databases, as well as
research experience at qualified Italian and international
institutions, will be considered preferential qualifications.

Advanced computer skills in the use of major statistical
software packages, such as SAS, Stata and R, are required,
together with the ability to critically appraise the scientific
literature and independently prepare reports, scientific
publications and dissemination materials.
The ability to work in multidisciplinary teams, a
collaborative attitude and organizational autonomy
complete the profile.

Additional qualifications and experience will also be
considered, including a Master’s degree in Biostatistics,
Research Methodology or Medical Statistics; enrolment in
a PhD programme and/or a PhD degree in a field relevant
to the research programme; research activities carried out
through contracts, appointments or collaborations in
statistical and epidemiological research; publications in
indexed scientific journals; participation as a speaker at
conferences, seminars or other scientific events; university
teaching and/or tutoring experience; and proven
proficiency in scientific English.

  • AFRICA
  • EUROPE
  • OCEANIA
  • NORTH AMERICA
  • SOUTH AMERICA
  • ASIA
  • OTHER

Eligibility of fellows: country/ies of residence:

  • AFRICA
  • EUROPE
  • OCEANIA
  • NORTH AMERICA
  • SOUTH AMERICA
  • ASIA
  • OTHER

Eligibility of fellows: nationality/ies:

  • AFRICA
  • EUROPE
  • OCEANIA
  • NORTH AMERICA
  • SOUTH AMERICA
  • ASIA
  • OTHER
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