Dulce Oliveira graduated in Marine Biology and Biotechnology from the Instituto Politécnico de Leiria, PT, (2006), has a post-graduation in Food Safety and Quality Management from Lusófona University, PT, (2009), a MSc in Sea Sciences from Lisbon University, PT, (2012) and a PhD in Marine Sedimentology and Paleoclimate from Bordeaux University, FR, (2017). She initiated her scientific career in 2010 in the FCT project “CLIMHOL” at LNEG and CIIMAR (PT), first as a trainee research, then as a MSc student. In 2013 she was awarded a FCT doctoral grant to develop her research between IDL, CCMAR, and IPMA (PT) and EPHE, EPOC-Bordeaux University (FR). . Oliveira was award a short-term post-doc position (Nov-Dec 2017) at Bordeaux University, followed by a research post-doc grant in the framework of the FCT exploratory project ULTImATum (IF/01489/2015) at IPMA (PT). After defending her PhD in May 2017, D. Oliveira was award a short-term post-doc position (Nov-Dec 2017) at Bordeaux University, followed by a research post-doc grant in the framework of the FCT exploratory project ULTImATum (IF/01489/2015) at IPMA (PT). She initiated recently (May 2019) a Portuguese CEEC post-doctoral contract to investigate past Indian vegetation and monsoon response to climate variability

Her research has contributed to the fields of palaeoecology and palaeoclimate, with a special focus on understanding the response of vegetation to variations in climatic forcing over regions particularly sensitive to climate change, with the goal of developing a better understanding of how the Earth System responds to natural and human-induced perturbations. This focus has been developed through specialization in pollen analysis from marine sediments, which provides the unique opportunity of directly compare pollen-based vegetation and terrestrial climate with marine environmental change in the same stratigraphic level. The conjunction of terrestrial and marine indicators leads to a better understanding of the land-atmosphere-ocean systems, bypassing timescale and correlation uncertainties.