Stage estivi nella ricerca per studenti - UROP Internship
La Facoltà di scienze informatiche incoraggia e promuove il talento dei propri studenti di Bachelor e Master offrendo loro anche l'opportunità di stage estivi (summer internship) nell'ambito della ricerca accademica, all'interno di un programma denominato Undergraduate Research Opportunities Program - UROP.
Gli stage sono extracurriculari e l'accesso è su base competitiva. Gli studenti lavorano a stretto contatto con un professore con l'obiettivo di sviluppare un'approfondita conoscenza sia dei concetti appresi nel corso del semestre sia del tema di ricerca. È un'ottima occasione di crescita, soprattutto per gli studenti che pensano di intraprendere una carriera come ricercatori.
Le opportunità di ricerca per quest'anno sono elencate di seguito (le informazioni sono disponibili solo in lingua inglese).
Summer 2023 UROP Internship Project Proposals
Click here for the detailed descriptions of the UROP internship projects listed below.
| Project Description | Mentors / Sponsors | |
|---|---|---|
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SelfAdapt: Self-supervised Domain Adaptation for Sensor Data |
Prof. Marc Langheinrich |
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Physio-RECALL: Analysis of human memory and physiological signals |
Prof. Marc Langheinrich |
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Media-RECALL: Analysis of human memory and audiovisual signals |
Prof. Marc Langheinrich |
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MultiFed: Multimodal Federated Learning for Sensor Data |
Prof. Marc Langheinrich Dr. Martin Gjoreski |
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XAI-Fed: Explainable AI for Federated Models in Wearable Sensing |
Prof. Marc Langheinrich |
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PrivAffect: Privacy-aware personal-video sensing for affect recognition |
Prof. Marc Langheinrich |
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Fed-CogLoad: Federated Cognitive Load Estimation |
Prof. Marc Langheinrich |
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Expression Tutor Study |
Prof. Matthias Hauswirth |
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Web-Based Compositional Graphics Program Construction Kit |
Prof. Matthias Hauswirth |
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Partially Homomorphic Encryption for Stream Processing Frameworks |
Prof. Patrick Eugster |
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Programmable Elasticity for Stateful Cloud Applications in Orleans |
Prof. Patrick Eugster |
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Programming Language for Reactive Distributed Monitoring |
Prof. Patrick Eugster |
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Cost-based Mechanism Selection for Secure Cloud Computing |
Prof. Patrick Eugster |
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Language-based Policy Checking for Secure Computing |
Prof. Patrick Eugster |
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Compile-time Verification of Fault-tolerant Distributed Systems |
Prof. Patrick Eugster |
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Privacy-preserving Stream Processing |
Prof. Patrick Eugster |
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Rust for Kernel-level Distributed Services |
Prof. Patrick Eugster |
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Analysis of Proofs of Unsatisfiability for SMT Solvers |
Prof. Patrick Eugster |
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Leveraging Synchrony for Efficient Distributed Services |
Prof. Patrick Eugster |
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Embedding Proofs of Unsatisfiability for SMT Solvers into CHC Solving |
Prof. Patrick Eugster |
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Validation of Quantum Policies with NetSquid |
Prof. Patrick Eugster |
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| Formal Modeling of Probabilistic Quantum Network Policies |
Prof. Patrick Eugster |
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| Portable Programmer-agnostic use of Trusted Hardware |
Prof. Patrick Eugster |
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| Personalization in Conversational Search |
Prof. Fabio Crestani |
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| DEA - Designing and Educational Agent to Detect and Mitigate Gender Stereotypes in the Classroom |
Dr. Monica Landoni |
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| Reinforcement Learning and Neural Radiance Fields for Real-time Ray Tracing |
Prof. Piotr Didyk |
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| Perceptual Compression of Neural Radiance Fields |
Prof. Piotr Didyk |
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| Complex Camera Models for Neural Radiance Fields |
Prof. Piotr Didyk |
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| Progressive Neural Radiance Fields for Robotic Path-Planning |
Prof. Piotr Didyk |
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| Anisotropic multiresolution analyses for deepfake detection |
Prof. Michael Multerer |
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| Reliability Estimation for Deep Learning Systems under Operational Distribution Shift |
Prof. Paolo Tonella |
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| Generating Valid Test Inputs for Deep Learning Systems |
Prof. Paolo Tonella |
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| Test input prioritisation for DL systems |
Prof. Paolo Tonella |
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| In-depth Performance Analysis of the Java Vector API |
Prof. Walter Binder |
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| Understanding Performance Variability of JVM Workloads |
Prof. Walter Binder |
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| Analysis and Optimization of the Code Generated by SparkSQL |
Prof. Walter Binder |
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| Developing an AR/VR application for creating more immersive museum experiences for people with intellectual disabilities |
Dr. Monica Landoni |
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| Designing an accessible game for people with intellectual disabilities |
Dr. Monica Landoni |
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| Can computational economics predict resilient pathways in the presence of shocks? |
Prof. Michael Multerer |
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| GAN for solving fluid flow in aerodynamics problems |
Prof. Michael Multerer |
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| Three-dimensional implementation of a cell-by-cell model for cardiac electrophysiology |
Prof. Rolf Krause |
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| Setting a realistic simulation environment for testing self-driving cars |
Prof. Paolo Tonella |
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| Towards an Intelligent Post-training Mutation Tool for Deep Learning Systems |
Prof. Paolo Tonella |
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| Learning microstructural conduction in the heart |
Prof. Rolf Krause |
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| Identification of the Purkinje network via machine learning |
Prof. Rolf Krause |
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| Shape2PDE, a Parametric PDE Solver from Shapes |
Prof. Rolf Krause |
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Self-monitoring using wearable devices |
Prof. Silvia Santini | |
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A situated self-report device for data collection studies |
Prof. Silvia Santini | |
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DiverSim: A simulation tool for species evolution |
Prof. Ernst-Camiel Wit |
In general, if you are interested in working in a specific research group, even one not mentioned above, please contact the corresponding professor directly.
Eligibility and Application Deadline
- USI Informatics Bachelor or Master student
- Directly contact a project's mentor BEFORE applying (see names above)
- Application deadline: 25 February 2023 (by the deadline you should already agree with the project's mentor) - to apply please send an email with your favorite projects to [email protected]
Acceptance and Funding
- Funded by the Faculty of Informatics
- Only a limited number of grants available
- Acceptance is competitive
- Decision is taken by the Dean
Duration and Dates of Internship
- Roughly 2 months
- Start after exam period (~ July 1st)
- End before recovery exam period (~ August 31)
