DASMEN (Data Science in Medicine and Nutrition) PhD Programme

The Ph.D. Programme in DATASCIENCE IN MEDICINE & NUTRITION (DASMEN) aims to address some of the main challenges of life sciences in a highly competitive scientific research environment. This 3-year international programme provides advanced training in various fields of life sciences and molecular medicine.

Mission

The DASMEN (Data Science in Medicine and Nutrition) PhD Programme addresses challenges in the life sciences field and in the scientific and clinical research training field. The PhD has an international dimension because of its structure, the course is held in English, for enrolled non-Italian PhD students and for the involvement of foreign teachers. Part of the training activities are carried out within European projects.

Characteristic of the DASMEN PhD is the partnership between universities and structures more suited to applied research (IRCCS Humanitas, companies in the field of life sciences and information technology) and basic research (Humanitas Research and University of Milan-Bicocca). The PhD takes up the challenge of recent years to analyze a large amount of data (big data) in a systematic way by means of effective algorithms, in order to find common elements, in an attempt to predict the clinical response from the view point of medicine and precision nutrition. The PhD offers specific training on enabling technologies, such as homics, bioinformatics, imaging, sequencing and flow cytometry. The training is enriched by seminars held by foreign lecturers (Visiting Professor, Guest Lecturer). The course provides a stimulating environment through the organization of Journal clubs, informal exchanges between disciplines, encouragement of researcher independence and training abroad.

 

PhD Coordinator: Prof  Rosanna Asselta
Language

English

Duration

3 years

Beginning of the academic year

1st January 2021

Future perspectives for Humanitas PhD students

The objective of this PhD programme is to train experts in basic, clinical and industrial research so that they can pursue a career in research, clinical or academic fields. In particular, for non-medical PhDs, the best job opportunities will be in biotechnology and bioinformatics companies, in public and private research sectors, and in academia. In this context, the interdisciplinary nature of their training will help them to rapidly transfer new knowledge from basic science to bio-medicine and clinical practice in order to generate new advanced diagnostic and therapeutic applications in the field of precision medicine. The best job opportunities for those who carry out clinical activities will be in research, in clinical settings or in academia, in particular in clinical facilities involved in research and training where they can contribute to the development of leading clinical research teams in their fields of specialisation. The strongly international and interdisciplinary approach of the PhD course will give students the opportunity to establish themselves in positions with a worldwide perspective.

Didactic activities

Type Description
Linguistics As part of the PhD course, students will be given the opportunity to attend courses in scientific English and scientific communication in order to acquire specific communication and technical language skills that foster their further professional development and their ability to disseminate.
Computer Science The course includes a series of training activities, including the use of IT tools. Knowledge in these areas is mainly provided through teacher-led lessons on the subject, such as bioinformatics lessons that will be organized by the University and supervised by reference teachers.
Management of research, knowledge of research systems and funding systems The course includes a series of training activities in the field of research management skills and the main sources of funding. Knowledge in these areas is mainly provided through seminars. The University provides training activities, in the field of research management, knowledge of how to access funding sources.
Valorisation of research results and intellectual property The course includes initiatives and activities for the protection and valorisation of intellectual property. Knowledge in these areas is mainly provided through seminars. The University also carries out training activities in the field of intellectual property.

Admission Requirements

DASMEN curriculum

Applicants wishing to enrol on the PhD course in Datascience in Medicine & Nutrition, must either have a “laurea magistrale” awarded in accordance with D.M. 270/2004 or equivalent qualification awarded by a foreign university (usually referred to as a Master’s Degree), in one of the subjects listed in the official call for applicants.

Applicants who are waiting to be awarded the required qualification at the date of submission can also take part in the selection process providing they have passed all of the Degree course exams at the time of the online application and are awarded the qualification by the final deadline indicated in the call for applicants. In the event these applicants pass the selection process, their enrolment on the PhD course is conditional upon providing proof that the qualification is awarded.

Scholarships and fees

The gross annual amount of each scholarship or equivalent contract is €18.000,00, paid in monthly instalments.

PhD students are required to pay an annual fee for access and attendance, set at €250,00 for the academic year 2020/2021, including the regional tax and stamp duty.

How to Apply

Applications for academic year 2020-21 will open soon
  • Registration or access with your LOGINMIUR credentials
  • Application form submission
  • Payment of the application contribution

The application form must be completed in all its parts, on penalty of exclusion. In particular, applicants must submit all of the following documents in PDF format:

  1. Curriculum vitae
  2. Motivation letter
  3. Copy of a valid ID or passport (for Non-EU citizens)
  4. Diploma Supplement
  5. Copy of the receipt of payment of €30,00

Additionally, applicants may indicate name and contacts of maximum two referees, preferably chosen among those who have had a supervising role of the candidates. The referees will be directly contacted by Humanitas University and asked to complete a brief letter of reference.

Further details about the application procedure will be reported in the official call for applicants.

Admission process

Admission to the PhD Programme is based on a public selection process consisting of

  • the comparative evaluation of the titles and qualifications and
  • an interview carried out in English by a Committee composed of a maximum of seven members.

The aim of the selection process is to assess the knowledge, competencies and aptitude of the applicants for scientific research as well as their motivation for undertaking the PhD programme.

Prior to the interview, applicants may be asked to take a multiple choice test, aimed at assessing the applicant’s specific knowledge in the fields of the research projects of the Campus.

A good knowledge of English is required and will be tested during the interview.

Should reasons justify it, the test and interview can be conducted via video-conference. Those who intend to conduct the interview via video-conference or request special assistance should specify this on the application form.

The final ranking list will be posted on this page.

 

First ranking list with short list for oral interviews

A first ranking list will be published with indications of the shortlisted candidates who will be admitted to the oral interview.

The oral inteviews for the shortlisted candidates will take place after summer, according to the dates indicated in the official call for applicants. They will be contacted via mail.

Academic Board

PhD Coordinator: Professor Rosanna Asselta

Name  Institution E-mail
Alessio Aghemo Humanitas University alessio.aghemo@hunimed.eu
Nicolò Buffi Humanitas University nicolo.buffi@hunimed.eu
Ferdinando Cananzi Humanitas University ferdinando.cananzi@hunimed.eu
Stefanos Bonovas Humanitas University stefanos.bonovas@hunimed.eu
Giorgio Walter Canonica Humanitas University giorgio_walter.canonica@hunimed.eu
Maurizio Cecconi Humanitas University maurizio.cecconi@hunimed.eu
Matteo Donadon Humanitas University matteo.donadon@hunimed.eu
Ana Lleo De Nalda Istituto Clinico Humanitas ana.lleo@humanitas.it
Giampaolo Perna Humanitas University giampaolo.perna@hunimed.eu
Politi Letterio Humanitas University letterio.politi@hunimed.eu
Franco Servade Humanitas University franco.servadei@hunimed.eu
Alesandro Repici Humanitas University alessandro.repici@hunimed.eu
Mario Romano Humanitas University mario.romano@hunimed.eu
Giovanni Lughezzani Humanitas University giovanni.lughezzani@hunimed.eu
Elio Riboli Humanitas University elio.riboli@hunimed.eu, e.riboli@imperial.ac.uk
Lorenza Rimassa Humanitas University lorenza.rimassa@hunimed.eu
Rita De Sanctis Humanitas University rita.de_sanctis@hunimed.eu
Enrico Heffler Humanitas University enrico.heffler@hunimed.eu
Marco Antoniotti Università Bicocca Marco.antoniotti@unimib.it
Vincenzo Bagnardi Università Bicocca vincenzo.bagnardi@unimib.it
Davide Bernasconi Università Bicocca davide.bernasconi@unimib.it
Roberto Rusconi Humanitas University roberto.rusconi@hunimed.eu

2020-2021 available positions and topics

There are 6 positions available – additional places may become available based on external fundings.

Research topics

 

HUMANITAS GROUP

Humanitas is a highly specialized Hospital, Research and Teaching Center. Built around centers for the prevention and treatment of cancer, cardiovascular, neurological and orthopedic disease – together with an Ophthalmic Center and a Fertility Center – Humanitas also operates a highly specialised Emergency Department.