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PhD positions

  • ​MaLGa is currently offering 8 PhD positions on several topics. See below for details.

    All the research activities will be carried out at the University of Genova within a newly formed machine learning center across the Mathematics and Computer Science departments. The center counts over 10 faculties and 30 between PhD students + postdocs and provides a lively and dynamic work environment.

3 PhD positions
Optimization for ML- ITN-ETN Project funded

  • Supervisors
    Silvia Villa – DIMA, Università di Genova – villa@dima.unige.it

    Lorenzo Rosasco - DIBRIS, Università di Genova and MIT – lorenzo.rosasco@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting 3 PhD candidates supported by the EU H2020 MARIE CURIE ITN-ETN Project TRADE-Opt, to work on optimization for data science.

    • the development of optimization methods (stochastic, accelerated, distributed , parallel) for non-smooth and possibly non convex problems
    • exploitation of data geometric structure to develop efficient optimization and machine learning algorithms
    • unsupervised features learning from multivariate time series (in collaboration with the ​SME Camelot biomedical systems)

    While the emphasis is on methodological and computational aspects, the candidates will have the opportunity to work in close collaborations on a number of applications, in connections with the industrial partners of the project. Genova sits amidst the Italian riviera and offers excellent quality of life. PhD salaries are commensurate to international standards, according to Marie Curie actions.
    Perspective candidates should make an expression of interest before May 30th.

1 PhD position
Efficient large scale ML - ERC project funded

  • Supervisors
    Lorenzo Rosasco - DIBRIS, Università di Genova and MIT – lorenzo.rosasco@unige.it

    Silvia Villa – DIMA, Università di Genova – villa@dima.unige.it

    Expression of interest
    Google Form

    About
    1 PhD position on efficient large scale machine learning supported by an ERC consolidator grant.
    The project aims at developing theoretical and algorithmic ideas that can explain the success of current systems as well as suggest the development of novel practical and efficient solutions. Candidates must have strong mathematical and computational skills. Specific topics of interest include but are not limited to: (1) the use of deterministic and random projections (sketching/subsampling), (2) the development of optimization methods (stochastic, accelerated, distributed , parallel) for non-smooth and possibly non convex problems. While the emphasis is on methodological and computational aspects, the candidates will have the opportunity to work in close collaborations on a number of applications, including high energy physics data analysis and robotics (perception/control).

    All positions will start fall 2020. Perspective candidates should make an expression of interest before May 30th.

1 PhD position
Inverse problems and machine learning

  • Supervisors
    Giovanni S. Alberti – DIMA, Universita' di Genova – giovanni.alberti@unige.it

    Matteo Santacesaria - DIMA, Universita' di Genova – matteo.santacesaria@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting one PhD student to work on inverse problems for partial differential equations. Inverse problems are ubiquitous in science and engineering, and appear whenever a physical quantity has to be reconstructed from indirect measurements. The range of applications is very wide: medical imaging, detection systems, nondestructive testing, geophysics, astrophysics, signal processing, computer vision, general relativity, etc. Whenever physics plays a crucial role, inverse problems are modelled by partial differential equations.
    We are looking for a candidate with strong mathematical and computational skills to work on theoretical and algorithmic aspects at the interface between mathematical and numerical analysis. More precisely, the work will combine methods of PDE theory, inverse problems, applied harmonic analysis and machine learning. Candidates who are familiar with and interested in one or more of these topics are encouraged to apply.

    The three-year PhD salary is commensurate to the cost of living in Genoa. The start of the position is planned in N​ovember 2020​.
    Perspective candidates should make an expression of interest before May 30th.

1 PhD position
Learning long-term dependencies from videos

  • Supervisors
    Nicoletta Noceti – DIBRIS, Università di Genova – nicoletta.noceti@unige.it

    Francesca Odone - DIBRIS, Università di Genova – francesca.odone@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting one PhD student on human motion analysis from videos. Building on on-going research, in this project we will consider in particular the following tasks:

    • Action detection on video stream.​ The ability to identify portions of time data referring to a single action is paramount for fully automatic motion recognition systems. This part may be based on an appropriate understanding of the atomic units characterizing actions, aka motion primitives, and their evolution over time
    • Activity recognition, ​possibly with​ anticipation capabilities.​ Most recognition methods refer to short-term dependencies typical of actions, while activities are characterized by longer-term dependencies between actions. We will explore the use of Machine Learning, and in particular LSTM, to appropriately model this property.

    We are looking for a candidate with a solid mathematics background and strong computational skills. A background in computer vision and machine learning is an asset.
    The three-year PhD salary is commensurate to the cost of living in Genoa. The start of the position is planned in​ November 2020.​
    Perspective candidates should make an expression of interest before May 30th.

1 PhD position
Human-Human and Human-Object interaction

  • Supervisors
    Francesca Odone - DIBRIS, Università di Genova – francesca.odone@unige.it

    Nicoletta Noceti – DIBRIS, Università di Genova – nicoletta.noceti@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting one PhD student on human-human and human-object interaction analysis. Building on ongoing research, a first goal of this project is related ​to human-human interaction,​ with the aim to identify and analyze the interaction within small groups of people. This analysis may involve different semantic granularities: identify social activities, detect joint attention, or study more specific cues of interaction or cooperation.
    A second goal will be specifically devoted to ​human-object interaction​, drawing possible connections with action recognition. A challenge of both tasks is, to date, the limited availability of annotated datasets of appropriate size for state-of-the-art deep learning architectures. For this we will explore unsupervised, weakly supervised methods, domain adaptation.

    We are looking for a candidate with a solid mathematical background and strong computational skills. A background in computer vision and machine learning is an asset.
    The three-year PhD salary is commensurate to the cost of living in Genoa. The start of the position is planned in November 2020​.
    Perspective candidates should make an expression of interest before May 30th.

1 PhD position
Machine learning for modeling networked systems

  • Supervisor
    Annalisa Barla – DIBRIS, Università di Genova – annalisa.barla@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting one PhD candidate, to work on machine learning methods that are suitable for:

    • understanding of large amounts of textual data
    • inferring of complex relational models

    The methods should be designed to deal with large-scale temporal data (dynamical systems). These methods are gaining relevance in all those fields that aim at modeling ​underlying semantic laws of complex phenomena. In particular we have in mind two possible scenarios: (1) ​data driven web design, where the aim is to devise an optimal information architecture; (2) to the analysis of structured biomedical and clinical data, where the aim is to identify relational patterns that are predictive of a certain pathological condition.

    The ideal candidate should have strong mathematical and computational skills and be interested in working on either NLP applications (topic modeling, text representation) or in modeling theory (block modeling, pattern-based community detection).
    The three-year PhD salary is commensurate to the cost of living in Genoa. The start of the position is planned in November 2020​.
    Perspective candidates should make an expression of interest before May 30th.

PostDoc positions

  • ​MaLGa is currently offering 5 PostDoc positions and 1 scholarship on several topics. See below for details.

    All the research activities will be carried out at the University of Genova within a newly formed machine learning center across the Mathematics and Computer Science departments. The center counts over 10 faculties and 30 between PhD students + postdocs and provides a lively and dynamic work environment.

1 Postdoc position
Applied Analysis

  • Supervisors
    Giovanni S. Alberti – DIMA, Universita' di Genova – giovanni.alberti@unige.it

    Matteo Santacesaria - DIMA, Universita' di Genova – matteo.santacesaria@unige.it

    Expression of interest
    Google Form

    About
    We are looking for one postdoctoral researcher in Applied Analysis at the Department of Mathematics of the University of Genoa. The main research themes will be inverse problems, PDE, applied harmonic analysis and machine learning. Candidates who are familiar with one or more of these topics are encouraged to apply.

    The start of the position is ​planned in September 2020 (or shortly thereafter), and the duration of the contract is 1 year, and renewable for up to 3 years. The postdoc salary varies depending on experience and is commensurate to international standards.

2 Post doc positions
Efficient large scale ML - ERC project funded

  • Supervisors
    Lorenzo Rosasco - DIBRIS, Università di Genova and MIT – lorenzo.rosasco@unige.it

    Silvia Villa – DIMA, Università di Genova – villa@dima.unige.it

    Expression of interest
    Google Form

    About
    2 Postdoc positions on efficient large scale machine learning supported by an ERC consolidator grant.
    The project aim at developing theoretical and algorithmic ideas that can explain the success of current systems as well as suggest the development of novel practical and efficient solutions. Candidates must have strong mathematical and computational skills.
    Specific topics of interest include but are not limited to: (1) the use of deterministic and random projections (sketching/subsampling), (2) the development of optimization methods (stochastic, accelerated, distributed , parallel) for non-smooth and possibly non convex problems. While the emphasis is on methodological and computational aspects, the candidates will have the opportunity to work in close collaborations on a number of applications, including high energy physics data analysis and robotics (perception/control).

1 Post doc position
ML applied to structured medical data-PRIN funded

  • Supervisor
    Annalisa Barla – DIBRIS, Università di Genova – annalisa.barla@unige.it

    Expression of interest
    Google Form

    About
    Postdoc on machine learning applications for structured biomedical data analysis supported by a PRIN grant (Ministry of Education, University and Research grant). The research project focuses on the application of machine learning techniques (including deep learning methods) to identify predictive patterns from complex and heterogeneous data. One major goal will be to define such methods tailored for biomedical data (MRIs, -omics, clinical) in the context of neurodegenerative diseases such as ASL.
    The ideal candidate should have a strong background in machine learning and computational methods and experience in dealing with real world data, preferably in the large p, small n scenario.

1 Scholarship
Web development

  • Supervisor
    Annalisa Barla – DIBRIS, Università di Genova – annalisa.barla@unige.it

    Expression of interest
    Google Form

    About
    Scholarship to work on developing the MaLGa (Machine Learning Genova Center) website and webservices. We are interested into somebody with a computer science background experience in, or interest into making in experience on, the following tools html/css, nodejs (Express), Vuetify/VueJS, Nunjucks. The candidate should have a web programming background, and ideally be familiar with PHP, ASP.NET, Javascript, Ruby on Rails, Javascript framework (e.g. AngularJS)
    The position has an age limite of 34 years. The contract is for 3 up-to 12 months and the salary is up-to 1614 Eu/mo depending on experience and skills.

1 Postdoc position
ML for energy market -funded by AXPO

  • Supervisors
    Alessandro Verri – DIBRIS, Università di Genova – alessandro.verri@unige.it

    Lorenzo Rosasco - DIBRIS, Università di Genova and MIT – lorenzo.rosasco@unige.it

    Expression of interest
    Google Form

    About
    We are recruiting one Postdoc candidate to work on machine learning approaches for representation and prediction of time series in energy trading. The project is aimed at developing algorithms and software for efficient and optimal time series analysis. The position is funded by AXPO and the goal is to test the developed systems on real data. The selected candidate will share his time between the university and the AXPO offices to develop practically successful solutions.