Mathematical Modeler of Infectious iseases at Health Emergency Center, Trento, Italy

Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger

Udlandet

By combining knowledge of the epidemiology of infectious diseases and mathematical and computational modeling, the Health Emergencies Center develops quantitative epidemiology methods to strengthen epidemiological surveillance in three stages: systematic collection of relevant data (health and other); data analysis and synthesis; dissemination of results.

As part of the FBK mission, which aims to achieve results of scientific excellence and to produce an impact on society, the Health Emergency Center aims to develop basic epidemiological research to increase knowledge on the main factors that regulate the transmission of infectious diseases, developing methods - mainly based on mathematical and computational modeling - to provide information to decision makers in order to improve preparedness, prevention and response to health emergencies caused by communicable diseases.

In 2021-2022, the Center will focus its research and scientific publications on the SARS-CoV-2 virus within the MOOD H2020 project and will further as well studies on vector-borne diseases with the VESTEC and the MOOD projects. Among its main collaborations, the one with the Istituto Superiore di Sanità, the Italian National Institute of Health, and the FBK-FEM EPILAB Joint Research Unit, which combines skills in quantitative epidemiology (FBK) and laboratory and field research (FEM).

The center is also part of ZIKAlliance, an international consortium for research on the Zika virus, with a specific focus on its effects on pregnancy and on the natural environment where it developed.

Job Description

Within this framework, the Health Emergencies Center is looking for someone to conduct analyses of the spatio-temporal transmission of infectious diseases and their control, using mathematical and computational models. Key responsibilities include conducting and managing research, publishing papers in leading journals, presenting results to decision makers.

Main Tasks

  • Development of mathematical models of infectious diseases transmission and control
  • Software implementation of models and management of code
  • Use of Bayesian techniques (MCMC) for model calibration and parameter estimation
  • Preparation of scientific manuscripts for peer-reviewed journals

The ideal candidate should have

  • PhD in one of the following areas: Mathematics, Information and Communication Technology, Dynamical Systems, or a similar quantitative discipline. The PhD Degree must be obtained within July 31st, 2021.
  • Research experience in the field of mathematical models of infectious diseases transmission, including relevant academic papers
  • A strong interest in infectious disease epidemiology
  • Very good knowledge of spoken and written English
  • Knowledge of C programming language and statistical software R
  • Ability to work both independently and cooperatively
  • Good communication and interpersonal skill
  • Accuracy, flexibility and goal orientation

Employment

Type of contract: fixed-term contract

Duration: 1 year

Working hours: full time (38 h per week).

Gross annual salary: about 39.530

Start date: August 2021

Workplace: Povo, Trento (Italy).

Benefits

  • flexi-time,
  • company subsidized cafeteria or meal vouchers,
  • internal car park,
  • welcome office support for visa formalities,
  • accommodation, etc.
  • supplementary pension and health found,
  • training courses,
  • public transport,
  • sports facilities,
  • language courses fees

Further details at https://www.fbk.eu/en/work-with-us/.

Application

Candidates are required to submit their applications by clicking on “Apply Online” at the end of this page:

https://jobs.fbk.eu/Annunci/Jobs_Mathematical_Modeler_of_Infectious_Diseases_at_Health_Emergencies_Center_217651073.htm

Please make sure that your application contains the following attachments (in pdf format):

  • Detailed CV and list of relevant scientific publications;

Letter of motivation in English, stating the candidate’s past experience and their interest in the field of infectious disease modelling.

Application deadline: 3rd of June, 2021

Please read our Regulations on the recruitment and selection of fixed-term personnel (effective from October 15, 2018) before completing your application. For further information, please contact the Human Resources Services at [email protected]

Find the vacancy at:

https://jobs.fbk.eu/Annunci/Jobs_Mathematical_Modeler_of_Infectious_Diseases_at_Health_Emergencies_Center_217651073.htm

(from EURES Trento / EURES Portal)

EURES står for European Employment Service og er et tilbud til alle EU-borgere, der ønsker at arbejde i et andet EU/EØS-land. Her finder du job i udlandet og information om jobsøgning i udlandet.

http://www.eures.dk eller http://www.europa.eu/eures

Følg os på Facebook "EURES Danmark"

Kilde: Jobnet.dk


Information og data

Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".

Arbejdsstedet er beliggende i Udlandet

Jobbet er oprettet på vores service den 18.5.2021, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Data Manager
  • Udlandet
  • Torsdag den 03. juni 2021

Lignende jobs

Statistik over udbudte jobs som data managere i Udlandet

Herunder ser du udviklingen i udbudte data manager i Udlandet over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere i Udlandet.

Se flere statistikker her:
Statistik over udbudte data managere i Udlandet over tid

Dato Alle jobs som data managere
23. november 2024 2
22. november 2024 2
21. november 2024 2
20. november 2024 2
19. november 2024 2
18. november 2024 1
17. november 2024 1
16. november 2024 1
15. november 2024 1
14. november 2024 1
13. november 2024 1
12. november 2024 1
11. november 2024 1
10. november 2024 1
9. november 2024 1
8. november 2024 1
7. november 2024 1
6. november 2024 1
5. november 2024 1