One Postdoctoral Position On Multimodal and Generative Ai Models for Scene Understanding
Pubblicato il 04-08-2026 - Istituto Italiano Di Tecnologia in Genova
**One Postdoctoral position on multimodal and generative AI models for scene understanding**
- (2500000Y)
- Commitment & contract: collaboration contract, 12 months (renewable)_
- Location: Genova, via Enrico Melen 83_ **_ Step into a world of endless possibilities, together let’s leave something for the future!_** At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds. We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential. **THE ROLE** You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with shared research goals. AIGO will also consider **generative AI models**, especially related to the most recent trend regarding _multimodal foundation models_, including _large language models_ (LLMs) and _vision and language models_ (VLMs). From a general standpoint,
AIGO will also consider architectural and computational issues addressing the so-called **lightweight Machine Learning** in order to design low-power ML technologies and approaches dealing with machine intelligence at the very edge of the cloud (e.g., for robots). Given the focus on people wellbeing, we clearly aim at the design of AI methods considering at their ground _ethical_, _privacy_ and _fairness_ aspects, as well as their _robustness_, towards the design of **explainable, trustworthy**and** transparent** deep learning techniques. Within the research team, your main responsibilities will be: - Pursue of research in some of the above-mentioned topics addressed by AIGO Research Line, at both individual and collaborative level. Interdisciplinarity research along IIT Flagship programs is also an important aspect in AIGO and in IIT in general;
- Supervision of the research activities of PhD students;
- Publications on major conferences and top journals; **ESSENTIAL REQUIREMENTS**
- A PhD in_ _Computer Science, Machine Learning, Computer Vision, Physics, Engineering, Mathematics or related areas;
- Documented expertise in:
o Computer Vision, with focus on multimodal learning; o Deep generative models, e.g., GANs, diffusion models, encoder-decoder architectures, or optimal transport models; o ML and CV approaches with a preference for former and recent deep learning models (GNNs, Transformers, etc.).
- Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch, Tensorflow or equivalent tools);
- Spouse the mainstream AIGO research line above quoted;
- Ability/willingness to integrate within multidisciplinary research group;
- Proven strong track publications record in the relevant technical areas;
- Ability to properly report, organize and publish research data;
- High motivation to learn;
- Good priority management;
- Fluency in spoken and written English. **ADDITIONAL SKILLS**
- Knowledge/experience on multimodal approaches, and possibly on (some of) the topics above quoted (e.g., domain adaptation, few-shot learning, self-supervised learning, model debiasing, etc.);
- Experience with deep learning approaches applied to different science domains, such as chemistry, materials, physics, imaging, drug discovery, climate/weather forecast, etc.;
- Knowledge of 3D vision (multi-view geometry, point cloud data processing, neural rendering, Gaussian splatting, etc.);
- Knowledge of graph neural networks;
- Experience in deploying and fine-tuning DL models, also large language or vision-language models;
- Practical experience on deploying ML models on HPC platforms;
- Team player skills with the ability to communicate technical knowledge in a clear and understandable manner;
- Capacity to work autonomously and collaboratively in a challenging highly interdisciplinary environment;
- Possess analytical reasoning skills and a growth mindset. **COMPENSATION PACKAGE**
- A yearly gross salary ranging between 32k€ and 40k€;
- Private health care coverage;
- _A detailed CV with a full list of publications. Evidence of “Relevant skills” commenting on the strong points where your CV matches the required skills (listed above) will be appreciated._
- _Contact details of 2 references._
- Application’s deadlin