We are seeking to hire a new colleague at the Assistant Professor level who would like to develop an ambitious new line of research in the area of AI for Social Good. This new colleague will be making fundamental contributions to AI that are driven by some of the big societal questions of our time. Relevant domains of application include but are not limited to sustainability and climate change, digital democracy and the fair distribution of societal resources, public health and well-being, and quality education and accessibility. Developing such a line of research likely will require expertise not only in Computer Science and AI but also in a field concerned with understanding and modelling human behaviour at either the individual or the collective level, such as psychology, cognitive science, behavioural economics, or game theory.

The Informatics Institute of the University of Amsterdam is seeking an assistant professor in data engineering.  This position will be located in INtelligent Data Engineering Lab (INDElab.org). The lab's broad aim is to tackle problems relating to the preparation, management, integration and reuse of data using empirical insights into data science practice.

You will contribute to the lab through innovative research in topics related to data engineering and data management.

The successful candidate will have a background in data management or in artificial intelligence/machine learning with an orientation towards data management. This should be evidenced by a track record of publications in renowned international conferences and journals. Relevant venues are VLDB, SIGMOD, ICDE, CIDR, CIKM, ISWC, WWW, AKBC.

Areas of interest include (but are not limited to): data management for machine learning, data integration, data cleaning, dataflow systems, responsible data science, automated knowledge base construction, and semi-structured/semantic data management.

As an educator, you will also contribute to the Informatics Institute education program. The program includes bachelor's and masters’ programs in data science, computer science and artificial intelligence. Teaching is approximately 30% of the position’s total time.

Additionally, you will be expected to acquire funding from sources such as the national funding agency NWO, EU funding via H2020 and industry. Finally, contributions to outreach, both in terms of engaging with the media as well as applying the state of the art research tools to applications in society are valued. UvA spinoffs that bring technology to industry and society are highly encouraged as well as working in the open source community.

The Institute for Informatics at the University of Amsterdam is seeking to hire a highly motivated Assistant Professor in the broad area of Computing and Sustainability to join our team. This is a tenure-track position placed in the Computational Science Lab at the Informatics Institute of the University of Amsterdam.

Simulation-based Science is about formulating computational models of phenomena that we observe and performing computer simulations to deepen our understanding of the complex adaptive systems that underpin these phenomena. We are looking for a Computational Scientist whose research addresses challenges related to sustainability, this connection can be in various forms, for example: Computational Modelling of/for Sustainability, Complexity Science and Sustainability, Digital Twins and Sustainability, Energy Efficient Simulations (e.g. in HPC)

The theme of AI4Science and ‘scientific machine learning’ is increasing in importance in our Informatics Institute, and collaborations in that direction would be welcomed.

The potential scope of the Tenure Track position is broad, but the candidate should preferably align with ongoing research at the Computational Science Lab and your research should be centred around Modelling and Simulation (including HPC) or Complexity Science and connect to the theme of sustainability.

The candidate is expected to contribute to education at the institute and play an important role in the Master of Computational Science, a joint degree programme of the UvA and Vrije Universiteit Amsterdam, attracting more than 100 students per year from a wide range of academic backgrounds.

The tenure tracker is expected to acquire his/her own independent funding from sources such as the Dutch Science Foundation, the European Commission (e.g., DestinE), and industry.

We are seeking an outstanding individual for a tenure-track assistant professor position in Human-Computer Interaction (HCI). The position would be situated within the Informatics Institute, which hosts both HCI and Artificial Intelligence (AI) expertise.

In their work and research vision, the successful candidate should demonstrate a holistic approach to understanding the benefits and risks of existing HCI and shaping novel forms thereof: an approach that considers (1) the design and implementation of technologies, data, and algorithms, (2) the individual and social context of people, and (3) the socio-physical environment in which both are positioned. We welcome expertise in computing for and within social, sustainable, inclusive, and ethical contexts, as well as the interplay between humans and ethical and explainable AI. The ideal candidate should present a compelling research vision that combines technical expertise with a serious commitment to developing and analyzing socially and individually beneficial applications within an interdisciplinary context, at both the level of fundamental research and real-world applications. We are particularly interested in someone who is able to establish a bridge between HCI, AI, and Design, who is comfortable with different methods and disciplines housed within these fields, as well as interested in pushing the boundaries of their domain in knowledge, meta-science, and practice.

Advice giving systems such as search engines, recommender systems, and digital assistants play a key role in many substantial decision-making processes. When used to support consequential decisions, such systems can trigger actions that influence the outcome of tasks they aim to support. How can we design advice giving systems that take their future impact on individuals into account when being trained? How can we align the optimization of advice giving systems for short-term benefits, which are often formulated in terms of utility, with optimization for long-term user goals that may be more societal in nature, e.g., avoiding filter bubbles or maintaining a diverse landscape of content suppliers?

We are seeking a new colleague with a background in search engines, recommender systems, or digital assistants, someone who is keen to contribute new algorithms, models, and metrics to the development of advice giving systems that are able to optimize for short-term individual utility and long-term individual and societal targets. We value working at the interface of academia and the world around us, both to be inspired and to create impact with our work. The ideal candidate shares our learning-by-doing perspective on the development of responsible search engines, recommender systems, and digital assistant technology.

We are seeking to hire a new colleague at the Assistant Professor level who will develop an ambitious new line of research in the area of neuro-symbolic artificial intelligence (AI), with particular emphasis on natural language processing  or related fields. We look forward to applications from excellent female candidates whose research programme brings together approaches from symbolic reasoning, knowledge representation or cognitive modelling with the recent advances in machine learning. The ILLC is home to world-leading research groups in logic and formal semantics, machine learning and natural language processing. An ideal candidate for this position would strengthen the link between the current research in neural natural language processing, language technology and symbolic AI, conducted by these groups.