Two open research assistant positions in neuroimaging: apply until December 18th

We are looking for two enthusiastic researchers to work on our project on Multimodal neuroimaging biomarkers throughout the migraine cycle: towards neurofeedback training for personalized anti-migraine treatment, at the Institute for Systems and Robotics – Lisboa, at Instituto Superior Técnico, Universidade de Lisboa, in collaboration with Hospital da Luz Learning Health and iMM – Instituto de Medicina Molecular João Lobo Antunes, and funded by Programa Operacional POR Lisboa 2020 with reference LISBOA-01-0145-FEDER-029675).


The project aims to: 1) uncover multimodal neuroimaging biomarkers of the the different phases of the migraine cycle using a combination of functional and stuctural MRI as well as EEG; and 2) develop a neuroimaging-based neurofeedback system for preventive therapy of migraine. The research assistants will contribute to the development of methods for the integration of simultaneous EEG and fMRI data.


The candidates should have: 1) an MSc degree completed by the date of the call in Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, Physics, Neuroscience, or related areas; 2) experience with EEG and/or MRI, and/or machine learning, and preferably also with neurofeedback and/or BCI; 3) availability for an interview.


The researcher will receive a contract of 6 months, extendable up to 12 months, with a monthly stipend of 989,70€.

Hosting conditions:

The researchers will be hosted at LaSEEB – the Biomedical Engineering Lab of the Institute for Systems and Robotics – Lisboa ( LaSEEB offers a rich, interdisciplinary research environment wihtin the top engineering school in Lisbon, with strong collaborations with the Lisbon medical school and state-of-the-art medical imaging facilities. Besides the participation in the project activities, the researcher is also expected to be actively involved in the academic life of the institute, including the engagement in conferences and seminars.


The call is open until December 18th 2019.

To apply, please find the official notice here:

For further information, please contact Prof. Patrícia Figueiredo at:

Athanasios Vourvopoulos joins MIG_N2Treat team at LaSEEB

Thanos (Athanasios Vourvopoulos) has just joined the team of the FCT-funded project MIG_N2Treat: Multimodal neuroimaging biomarkers throughout the migraine cycle: towards neurofeedback training for personalized anti-migraine treatment. In this project, we aim to identify multimodal neuroimaging biomarkers of migraine, and to use these to develop a novel personalized therapeutic approach based on neurofeedback training. The project is led by ISR-Lisboa at Técnico and is carried out in collaboration with iMM and Hospital da Luz – Learning Health. During the next two years, Thanos will participate in the development of an EEG-neurofeedback system based on simultaneous EEG-fMRI models.

COST Action – Glioma MR Imaging 2.0

The COST Action proposal GliMR2.0, entitled Glioma MR Imaging 2.0, submitted to the Open Call of 2018 (OC-2018-2), has been approved for funding. Prof Patrícia Figueiredo from LaSEEB is one of the proponents of this European research network under the EU funded COST (The European Cooperation in Science and Technology) Programme. The LaSEEB contribution will essentially be in the context of  Working Group 1, on “Advanced MRI biomarkers for glioma characterisation”.|Name:overview

Keep in Touch 2019

LaSEEB participated in this year’s edition of Técnico’s Keep in Touch. The event is part of the celebrations of the 108th anniversary of Instituto Superior Técnico and aims to bring the IST community together.

Hundreds of children, youth, alumni, professors, researchers and staff participated in several activities organised by the several departments.



ISMRM 2019

Several researchers from LaSEEB presented their work during the 27th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2019).

Abstracts presented:

  • Breath-hold BOLD-fMRI cerebrovascular reactivity metrics predict cognitive impairment in cerebral small vessel disease; Pinto J et al.
  • Amplitude of low-frequency fluctuations in resting-state BOLD-fMRI is associated with cognitive decline in cerebral small vessel disease; Moreira J. et al.
  • Impact of processing options on histogram metrics extraction from DWI in cerebral small vessel disease; Fouto A. et al.
  • Classification of BOLD-fMRI dynamic functional connectivity states based on simultaneous EEG microstates; Abreu R. et al.
  • Classification of sleep stages from fMRI dynamic functional connectivity using deep learning; Carmona J. et al.
  • Accelerated Carotid 4D flow MRI with Multicontrast HD-PROST Reconstruction; Gaspar A. et al.
  • Improving T2 and B1 parametric estimation in the brain with multi spin-echo MR and fusion bootstrap moves solver (FBMS); Freitas A. et al.
  • Neuromelanin-sensitive Magnetic Resonance Imaging Study of the Substantia Nigra in Huntington’s Disease; Leitão R.  et al.
  • Optimizing Neuromelanin-sensitive Turbo Spin Echo sequences using the extended phase graph formalism including magnetization transfer effects; Nunes R. et al.