On this page you can find the internship projects currently available.
Apprenticeship at CIMeC
Yuri Bozzi
e-mail: yuri.bozzi@unitn.it
Group website
General topic: Mouse models of autism spectrum disorders
Methodology: Gene expression, neuroanatomy, pharmacology, behavior
Project description: Investigating the role of neuroimmune dysfunction in autism pathogenesis; sensory-motor deficits in mouse models of autism.
Type of internship: Curricular
Open positions: 1
Period: All year
Ingmar de Vries
e-mail: ingmar.devries@unitn.it
Group website
General topic: Using dynamic representational similarity analysis (dRSA) to study how our brain predictions naturalistic continuous input such as movies.
Methodology: MEG, eyetracking, neural networks
Project description: Students can be involved in various experimental phases (from literature search to experimental design, data collection and analysis). Please consult the group's website for an up-to-date list of research projects.
Type of internship: Curricular
Open positions: 2
Period: All year
Albrecht Haase
e-mail: albrecht.haase@unitn.it
Group website
General topic: Neuronal coding, Olfaction, Magnetoreception, Neural network dynamics, Gut-Brain Axis, Learning & Memory, Environmental stressors
Methodology: Two-photon microscopy, Calcium imaging, Automated behavioural assays, Data analysis, Machine Learning classification, Spiking Neural network simulations
Project description: We offer involvement in different projects on the above-mentioned topics. Our core facility is a two-photon in vivo imaging platform, our standard models are honeybees. Interns will receive training in all required techniques, like in vivo morphological and functional imaging, advanced image analysis, automated learning assays, locomotion tracking, machine learning classification of behavioural data, statistical data analysis, beekeeping, and programming platforms: MATLAB, Python.
Type of internship: Curricular
Open positions: 2
Period: All year
Uri Hasson
e-mail:uri.hasson@unitn.it
Group website
General topic: NeuroAI, Computational models of cognition
Methodology: We model behavior and brain function using computational model. We also use behavioral methods and eye tracking.
Project description: Project 1: Interns will be involved in using DNNs to model how the brain represents lexical, visual and multimodal information. Involvement in project requires prior knowledge with Python, and interest or experience in using deep neural networks. Project 2: for students interested in visual perception, there is an opportunity for a study of models of eye dominance, with or without use of eye tracking
Type of internship: Curricular/Erasmus
Open positions: 3
Period: 3-12 months
Veronica Mazza
e-mail: veronica.mazza@unitn.it
Group website
General topic: Attention and Perception in Aging, Age Prediction, Plasticity
Methodology: EEG, TMS, machine learning and behavioral measures
Project description: Please consult the group's website for further details.
Type of internship: Curricular; Erasmus/Mobility programmes
Open positions: 2
Period: All year
Andrea Messina
e-mail: andrea.messina@unitn.it
Group website
General topic: Brain Asymmetry; Neurodevelopmental Disease
Methodology: Gene expression, neuroanatomy, animal behavior, neural development, transgenesis
Project description: Characterization of zebrafish models for studying Williams-Beuren Syndrome and Autism
Type of internship: Curricular
Open positions: 2
Period: All year
Carlo Miniussi
e-mail: carlo.miniussi@unitn.it
Group website
General topic: Non-invasive transcranial brain stimulation / Open science
Methodology: TMS, tES (tDCS, tACS, tRNS), TMS-EEG coregistration
Project description: It will be possible to learn more about the applications of non-invasive brain stimulation techniques, and in particular transcranial electrical brain stimulation (tES) and transcranial magnetic stimulation (TMS). Practical guidance will be provided on the use of tES and TMS, also in combination with electroencephalography (TMS-EEG coregistration). Trainees will be involved in the collection of experimental data, selection of participant samples and data analysis. Attendance at Lab Meetings and participation in any seminars organised by the CIMeC is also planned.
Type of internship: Curricular
Open positions: 2
Period: All year
Simona Monaco
e-mail: simona.monaco@unitn.it
Group website
General topic: Action and Cognition
Methodology: Behavioural and neuroimaging (fMRI, MEG) methods
Project description:
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We investigate how we use vision and touch to perceive objects and guide actions
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We examine the role of human brain areas in anticipating the sensory consequences of our actions.
Type of internship: Curricular
Open positions: 3
Period: All year
Eugenio Parise
e-mail: eugenio.parise@unitn.it
Group website
General topic: Infant Cognitive Development
Methodology: EEG/ERP, EEG frequency tagging, Eye tracker, behavioural methods
Project description:
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Cognitive basis of social communication in infants
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Language development and understanding of words
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Core physic knowledge.
Type of internship: Curricular/TVP
Open positions: 6
Period: 1st January - 31st July; 1st September - 31st December
Valeria Anna Sovrano
e-mail: valeriaanna.sovrano@unitn.it
Group website
General topic: Animal cognition
Methodology: Behavioral observation, visual discrimination test, operant conditioning, drug administration.
Project description: Studying fish, as animal cognition's model; spatial representation, objects categorization, visual and extra-visual perception, brain lateralization, biological basis of social behavior, numerical skills.
Type of internship: Curricular/Tirocinio Pratico Valutativo
Open positions: 7
Period: All year
Stefano Teso
e-mail: stefano.teso@unitn.it
Group website
General topic: Artificial Intelligence
Methodology: Development and analysis of a software implementation.
Project description: Hierarchical classification is a tough machine learning task: given a sentence or a document we want to predict multiple, related labels. For instance, we may want to categorize reviews of Amazon products into classes such as “Electronics”, “Toys”, “Plushies”, “Dog Plushies”, “Seal Plushies”. The issue is there are many target classes, but also that they are related. If a model predicts “Dog Plushies”, it cannot predict “Electronics”. Moreover, if it predicts “Plushies”, it also has to predict either “Dog Plushies” or “Seal Plushies”. Violating these so-called hierarchical constraints could make predictions unusable. We want to smartly integrate the latest findings from Neuro-Symbolic integration into hierarchical NLP classifiers so as to improve their ability of satisfying hierarchical constraints. Existing models are far from perfect, and we know we can do better.
Type of internship: Curricular
Open positions: 1
Period: Within the range March-September
Luca Turella
e-mail: luca.turella@unitn.it
Group website
General topic: Control of movements - Understanding of actions and intentions
Methodology: fMRI/MEG/behavioral
Project description: The student can be involved in two different types of projects: the first project aims to characterize the neural representations of the actions we perform in everyday life; the second project aims to characterize the neural networks underlying the understanding of the action and the intentions of others.
Type of internship: Curricular/Tirocinio Pratico Valutativo
Open positions: 4
Period: All year
Moritz Wurm
e-mail: moritz.wurm@unitn.it
Group website
General topic: Using dynamic representational similarity analysis to investigate the neural representation of dynamic events and actions
Methodology: MEG, psychophysics, kinematic recordings
Project description: Please consult the group's website for further details of the research projects. Students will be offered the opportunity to be involved in various experimental phases (from literature research to experiment design, data collection and data analysis).
Type of internship: Curricular/Erasmus/International programs
Open positions: 2
Period: All year