Vacancies – AI Lab
Vacancies
2 positions (PhD Fellow or Postdoc) in Explainable Artificial Intelligence (XAI)
The Norwegian Open AI Lab and Data and Artificial Intelligence group currently has two vacancies in the field of Explainable Artificial Intelligence (XAI). The positions are part of the EXAIGON project.
Each position can be filled by
- A PhD fellow fully funded for 3 years (or 4 with optional academic duties).
- A postdoc fully funded for 2 years.
The EXAIGON (Explainable AI systems for gradual industry adoption) project (2020-2024) will deliver research and competence building on XAI, including algorithm design and human-machine co-behaviour, to meet the society’s and industry’s standards for deployment of trustworthy AI systems in social environments and business-critical applications. Extracting explanations from black-box models will enable model verification, model improvement, learning from the model, and compliance to legislation.
Learn more about the positions and apply through Jobbnorge.
Deadline: August 15th, 2021.
PERSEUS - PhD Candidate in Trustworthy Artificial Intelligence
At the Department of Computer Science, we have a vacancy for a PhD candidate in Trustworthy Artificial Intelligence.
Building trustworthy AI systems is a cornerstone to apply AI technologies in practice and therefore we need to explore methods, build tools, and incorporate different perspectives when developing novel AI applications. Based on the definition of the High Level Expert Group of the European Union, trustworthy AI should be lawful, ethical, and robust. While guidelines exist, research on implementation methodologies are currently under development and this PhD position will contribute to develop principles for creating trustworthy AI applications.
Together with partners in the NorwAI SFI, the candidate will work on the creation for guidelines for a sustainable and beneficial use of AI, explore privacy-preserving technologies and create explainable, interpretable and transparent prototypes to be tested in industrial settings. This PhD project is a part of the PERSEUS doctoral programme.
Learn more about the position and apply through Jobbnorge. Deadline: Sept 30, 2021.
PERSEUS - PhD Candidate in Natural Language Processing for Personalized Content Summarization
At the Department of Computer Science, we have a vacancy for a PhD candidate in Natural Language Processing for personalized content summarization.
Content summarization uses machine learning to extract the main ideas of individual texts or collections of text. It may also be used to explain recommendations and provide explanatory features in artificial intelligence in general. Central to the technique is the use of machine learning and language models to interpret text and contextualize content with respect to users or tasks at hand.
Summarization is often combined with other NLP techniques to provide personalized summaries or build conversational systems that make use of external sources. The PhD student will develop new summarization techniques that are incorporated into generative conversational systems and personalized with respect to users and contexts. The research will address both English and Scandinavian languages. The expected results include industrial prototypes in collaboration with industry partners as well as high-quality publications in top NLP venues.
Learn more about the position and apply through Jobbnorge. Deadline: Sept 30, 2021.
PERSEUS - PhD Candidate in the area of Digital Twins and Artificial Intelligence for Improved Personal Health and a more Sustainable Health Care System
At the Department of Computer Science, we have a vacancy for a PhD candidate in the area of Digital Twins and Artificial Intelligence for Improved Personal Health and a more Sustainable Health Care System.
In the proposed PhD-project the candidate will contribute to the realization of a proof-of-concept DT ecosystem, focusing on wearables and state-of-the-art AI research connected to the analysis of vital signs and time series. You will also be given a unique opportunity to form how a future data-driven health care system might look like. To participate in these discussions, it will be beneficial to have a genuine interest and knowledge in some of the other key underlying DT technologies (in addition to machine learning), e.g. IoT, 5G, BigData, cloud computing, mobile/web development, GUI/HCI, synthetic health data, explainable AI, privacy (regulations, federated learning, differential privacy), information security and ethics. The project will be part of ongoing activity and related projects for health and medicine (e.g. wearables, distance follow-up, home hospital) among key NTNU faculties and departments with associated partners and collaborators.
Learn more about the position and apply through Jobbnorge. Deadline: Sept 30, 2021.
PERSEUS - PhD Candidate in AI for Databases
At the Department of Computer Science, we have a vacancy for a PhD candidate in AI for Databases.
The aim of this PhD position is to develop techniques that use AI to improve efficiency of database systems. Examples of topics in this direction from recent years include learned indexes, machine learning for query optimization, data cleaning, and algorithm selection. The PhD student will work with challenges related to these or other emerging topics within AI for databases. The research outcome is expected to produce high-quality publications in top database/data mining venues.
This PhD project is a part of the PERSEUS doctoral programme: A collaboration between NTNU- Norway’s largest university, 11 top-level academic partners in 8 European countries, and 8 industrial partners within sectors of high societal relevance.
Learn more about the position and apply through Jobbnorge. Application deadline: Sept 30, 2021.
PERSEUS - PhD Candidate in The Area of Big Data Analytics and AI
At the Department of Computer Science (IDI) we have a vacancy for a PhD candidate in the area of big data analytics and AI.
The PhD candidate will work in an R&D and innovation project named DeepInMotion funded by the Norwegian Research Council. The main objective of the project is to develop an explainable AI system and clinical service implementation to discover movement biomarkers for early detection of CP in infants. The PhD candidate will develop explainable AI techniques and methods that will contribute in generating new knowledge and innovations, which will enable and provide decision support for early detection of motor disabilities in children. The PhD candidate will work in an interdisciplinary research group with researchers from Department of Neuromedicine and Movement Science, Department of Computer Science and clinics at St Olavs and Ålesund hosptitals
Learn more about the position and apply through Jobbnorge. Application deadline: Sept 30, 2021.