Open PhD positions - INPhINIT, “la Caixa” Doctoral Fellowship Programme

The INPhINIT programme has launched its second call.  INPhINIT recruits per call 57 Early-Stage Researchers of any nationality, who enjoy a 3-year employment contract at the Research Centre of their choice among those selected and awarded by the Spanish Ministry of Economy and Competitiveness ("Severo Ochoa" centres of excellence and "Maria de Maeztu" units of excellence) and the Spanish Ministry of Health ("Carlos III centres of excellence"). In addition, researchers establish a personal career development plan including trasnational, intersectoral and interdisciplinary mobility opportunities, and attend a full range of complementary training courses and workshops. INPhINIT relies on the European Commission's support through the Horizon 2020 Marie Skłodowska-Curie Actions - COFUND programme to recruit a larger number of researchers and achieve a broader impact, as well as to further pursue the highest standards for research training. 

In the first call, 3 PhD students (ANDREA URRU, to work with Miguel Angel González Ballester; MILICA VUJOVIC, to work with Davinia Hernández Leo and AMELIA JIMÉNEZ, to work with Gemma Piella) obtained grants in this program.

Our department offers the following positions to candidates interested in the current call

  • Multi-scale modelling of fetal aortic coarctation. (Prof.Bart Bijnens)
  • The computational neuroscience of decision making (Prof.Rubén Moreno Bote)
  • Phd position in Cognitive Neuroscience: Neural predictors of Memory Perception and attention (Prof.Salvador Soto-Faraco)
  • Machine Intelligence and Human Behaviour (Dr.Emilia Gómez)
  • PhD in Sound and music computing technologies targeted towards music education and exploration (Prof.Xavier Serra)
  • PhD Student (topic: Algorithmic Fairness) (Dr.Carlos Castillo)
  • Multi-scale high-resolution analysis of cardiac myoarchitecture (Prof.Bart Bijnens)
  • Privacy-Oriented Cryptographic Protocols for the IoT (Dr.Vanesa Daza)
  • Enhancing situated learning through Learning Design and Learning Analytics (Dr.Davinia Hernández-Leo)
  • Distributed Computing in Artificial and Neural Networks (Prof.Jorge Lobo)
  • 3D Facial Analysis with Deep Unstructured Networks: Discovering Asymmetries in Neuropsychiatric Disorders (Dr.Federico Sukno)
  • Coexistence of synchronization and desynchronization: Data-driven analysis of coupled network models. (Prof.Ralph Andrzejak)
  • Machine learning based radiomics-genomics integration for advanced disease quantification (Prof.Miguel Ángel González Ballester)
  • Machine learning from fetal flow waveforms to predict adverse perinatal outcomes (Prof.Gemma Piella, Bart Bijnens)
  • Novel techniques for in-silico development and assessment of cochlear implants (Prof.Miguel Ángel González Ballester)
  • Predicting associations between cardiovascular and neurological dysfunctions using machine learning (Prof.Gemma Piella)
  • Mechanistic modelling of chondrocyte-mediated destruction of hyaline cartilage in relation with subchondral bone morphology and inflammation in osteoarthritis and intervertebral disc degeneration (Dr.Jerôme Noailly)
  • Audio-visual approaches for music information retrieval (Dr.Emilia Gómez, Gloria Haro)
  • Vision models and cinema postproduction (Prof.Marcelo Bertalmío)
  • The Heart-Brain axis, or There and Back again: the journey towards brain development traverses vascular territories (Dr.Óscar Cámara)
  • Web-based rendering and visualization of 2D and 3D multi-modal medical imaging data (Prof.Josep Blat)
  • Geometric analysis of video recordings (Dr.Coloma Ballester and Gloria Haro)
  • Networking in Ultra-Dense Wireless Networks (Dr.Boris Bellalta)
  • Mining, Understanding, and Summarizing Academic Social Networks (Prof.Horacio Saggion)

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