“iSTARS - Informatics and Statistical Tools for the Advancement of Research Success” is a project of Faculdade de Medicina da Universidade de Lisboa (FMUL, Portugal) recently funded by the EU for a 6-year period (Grant agreement ID: 952377, https://cordis.europa.eu/project/id/952377). iSTARS will enact a true transformational change that will promote excellence in research and in acquisition of funding, by forming a new unit led by a researcher recruited for the ERA Chair position.
We are seeking a highly motivated individual with excellent scientific credentials in the general scientific area of the project (above), at the R3 or R4 level, who is willing to help build a robust and leading group in data science for health research. The successful candidate is expected to shape this new research direction in interaction with other researchers of the School of Medicine, participate in defining new teaching needs in the areas of the project, and lead an interdisciplinary team in research and acquisition of new funding.
ERA Chair responsibilities
You will be co-responsible for the development and success of the iSTARS ERA Chair Program, in collaboration with the project leader at the School of Medicine and the project manager. You will play a pivotal role in enhancing the School’s capabilities in data science for health. You will create a vibrant group to develop its own research interests and collaborate with internal and external stakeholders. You will also be in charge of strategic directions and implementation of all planned Work Packages in the ERA Chair project implementation.
Background and experience required
The successful candidate will have made first-rate contributions to areas of interest for this project, namely data science for health research (for example, but not exclusively, medical statistics, artificial intelligence in health/medicine, medical informatics, big data in health research, biostatistics, epidemiology). You will have demonstrated potential as a first-rate researcher, capability to attract research funding, successful experience in teaching, and a proven track-record of administration of research, and will be willing to manage (with administrative support) the ERA Chair project, which funds the position. The ERA Chair holder will have a strong focus on interdisciplinary research and promoting collaborations among multiple stakeholders, both within the School of Medicine and farther afield, including the University of Lisbon and societal partners (e.g., pharmaceutical companies, public organizations, patients’ associations).
Essentials Skills & Qualifications
Planned: 01/September/2021 (negotiable)
Type of contract and benefits
“Contrato de Trabalho em Funções Públicas a Termo Resolutivo Certo” (fixed term public service contract) with a term corresponding to the intended period of the project (expected to be at least 5 years). The contract may be renewed one time, for the same or shorter period, as long as the total duration does not exceed 6 years. It is envisaged that at the end of the project, a successful scientist may have the potential for a permanent position at the Lisbon School of Medicine.
How to apply
Applicants should submit in a single PDF document:
Applications or request for information should be submitted by email to email@example.com
Evaluation and Selection
Applications will be evaluated by a selection panel. After a first selection round, a short list of applicants will be furnished with more information about the ERA Chair project and asked to submit a more detailed research/implementation plan. Some or all of the short-listed candidates will be invited for an interview.
The selection panel includes: Prof. António Vaz Carneiro (FMUL), Prof. Marie Davidian (North Carolina State University, USA), Dr. Ana Godinho (CERN, Switzerland), Prof. Luísa Loura (Faculdade de Ciências da Universidade de Lisboa), Prof. Ruy Ribeiro (FMUL), Prof. Rodolphe Thiebaut (Université de Bordeaux, France).
The position will remain open until filled, but to be considered during the first round of selection, send your application by April 15th, 2021.
Communication of Results
All communication about the selection process and outcomes will be done by email.
FMUL values diversity and is committed to equality of opportunity. FMUL ensures compliance with the principles of non-discrimination and equality. No candidate can be privileged, benefited, harmed or deprived of any right or exempted from any duty due to age, gender, sexual orientation, marital status, family status, economic status, social origin, nationality, ethnic origin or race, place of origin, religion, political or ideological convictions, or union association membership.
The Commission’s recommendations in the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers will be observed.
The work will be developed at Instituto de Medicina Preventiva & Saúde Pública (FMUL).
The Medical School is located within the broader campus of the University of Lisbon (Cidade Universitária), with good accessibility, close by family-friendly districts with various opportunities for child-care facilities and schools. Lisbon is a thriving cosmopolitan city that offers outstanding scientific and cultural environment, as well as entertainment and sports activities. Lisbon is consistently ranked highly in terms of quality of life, safety and experience.
For more information about FMUL please see our website
Faculdade de Medicina da Universidade de Lisboa.
Avenida Egas Moniz, 1600 Lisboa
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 952377Leer más
|Título||Leading Researcher - ERA CHAIR “iSTARS - Informatics and Statistical Tools for the Advancement of Research Success"|
|Employer||Universidade de Lisboa (ULisboa)|
|Job location||Alameda da Universidade, 1649-004 Lisboa|
|Publicado||marzo 22, 2021|
|Fecha límite de solicitud||abril 15, 2021|
|Tipos de trabajo||Profesor Titular  |
|Campos||Informática,   Bioestadística,   Bioinformática,   Epidemiología,   Inteligencia Artificial,   Informática en las Matemáticas, Ciencias Naturales, Ingeniería y Medicina,   Ciencias de la Salud,   Biología Computacional,   Big Data,   |