Jobs

Jobs at the Pioneer Centre for AI

    Deadline: 01 Apr 2024

    Fall 2024 PhD Openings at the Pioneer Centre for AI

    Join the Pioneer Centre for AI as a PhD student. We have several openings for fully-funded PhD positions with flexible start dates in the fall of 2024.

    Deadline: 07 Apr 2024

    Postdoc in Foundations of Extended Reality – University of Copenhagen

    The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Extended Reality. 

    The theoretical foundations of extended reality concern the human experience of being in a different place, capable of doing different things. However, developments in hardware, generative AI, and our understanding of experience are challenging these foundations. We seek a postdoc to explore these challenges theoretically and empirically.

    Inquiries about the position can be made to Professor Kasper Hornbæk.

     

    Deadline: 07 Apr 2024

    Postdoc in NLP for Computational Social Science – University of Copenhagen

    The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. 

    NLP is becoming an increasingly powerful tool for social scientists. Yet, the intersection between the two disciplines is still poorly explored, with research in the two disciplines often being conducted as separate streams. The goal of this project is to research methods which can more directly be useful for downstream social science applications. One such application is to analyse common narratives in news, which requires methods including (interpretable) topic modelling, framing detection, social media analysis, etc. The successful candidate will be affiliated with a larger initiative on narrative analysis, spanning different content modalities, with the autonomy to define their project in this larger context.

    Inquiries about the position can be made to Professor Isabelle Augenstein.

    April 7 deadline.

    Deadline: 07 Apr 2024

    Postdoc in Multi-Modal Fact Checking – University of Copenhagen

    The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. 

    Online content can include multiple different modalities, ranging from text to images or tables. Increasingly, detecting false information requires the understanding of a combination of these modalities and the relationship between them. This project will focus on developing general-purpose multi-modal methods for automatic fact checking in various domains, such as scientific publications, news or social media. Inquiries about the position can be made to Professor Isabelle Augenstein or Assistant Professor Desmond Elliot.

    April 7 deadline.

Jobs in Denmark

    Deadline: 20 Mar 2024

    PhD Position in Data Protection Law with a focus on Synthetic Health Data and Artificial Intelligence – Aalborg University

    At Department of Law, Faculty of Social Sciences and Humanities, a position as PhD Fellow in data protection law with a focus on synthetic health data and artificial intelligence, is available from 1 May 2024 or as soon as possible thereafter. The position is for three years, which can be stretched over a four year period (part time).

    There is a huge potential for using artificial intelligence(AI) for improving diagnosis and treatment of many diseases. Large amounts of clinical data are needed to train useful AI systems. However, patient data are sensitive personal data to which there is only limited access, which can be a significant roadblock for researchers and students. Many promising methods to creating synthetic data based on generative AI have been suggested. The data science team under this project will develop privacy metrics based on Bayesian statistics.

    The overarching purpose of the legal part of the project is to develop generative AI workflows and ensuring GDPR compliance, including by using the developed privacy metric. In addition to technical considerations, both ethical and legal concerns must be addressed in the creation and governance of synthetic health data using sensitive personal data controlled by public health authorities. A unifying framework that mediates between the legally sound and the practically possible would help clear the barriers for meaningful synthetic data sharing.

    Deadline: 22 Mar 2024

    Postdoctoral positions in single-cell multi-omics, cancer genomics, and bioinformatics/data science – DTU Biosustain

    DTU Biosustain invites applications for postdoctoral positions in areas including cancer genomics, single-cell multi-omics, and bioinformatics/data science. These roles focus on innovative research using and developing computational methods to integrate large-scale data for cancer genomics and human health. Specifically, designing and developing computational methods for investigating tumor evolution and heterogeneity, including utilizing mathematical models and algorithms specifically tailored for analyzing data from various technologies. 

    Candidates will engage in interdisciplinary collaborations within a diverse academic setting. Responsibilities include cutting-edge research in genomics, bioinformatics, and related fields, utilizing advanced technologies, and mentoring junior researchers. Applicants must possess proficiency in computational biology, bioinformatics, and programming. The position promises skill development and a collaborative environment at a leading European institution. Application materials should include a vision statement, CV, publications, references, and a statement on professional impact. The selection process adheres to the university’s policies.

    Deadline: 25 Mar 2024

    PhD Stipend in Data Management, Algorithms & Machine Learning for Emerging Problems in Large Networks

    The research is in the broad area of graph data management, mining, systems and machine learning on graphs, including knowledge graphs, social and biological networks, financial networks, temporal and dynamic graphs, uncertain graphs, explainability and fairness of deep learning methods on networks.

    The aim will be publishing several research papers at top-tier data mining, data management or machine learning conferences based on the research work. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His research works can be found athttps://homes.cs.aau.dk/~Arijit/,https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en and athttps://dblp.org/pid/67/2933.html. For further information or questions, please do not hesitate to contact him atarijitk@cs.aau.dk.

    Deadline: 29 Mar 2024

    Postdoc in NLP-driven Meta-Synthesis of Evidence in Software Effort Estimation – Department of Electrical and Computer Engineering, Aarhus University

    The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a three-year postdoctoral position within the area of Software Effort Estimation (SEE).

    This position is funded by a Danish National Research Foundation Chair grant that aims to significantly expand our understanding of the SEE area by means of a solution coined as probabilistic meta-synthesis of evidence.

    Join us as a Post Doctoral Researcher in Meta-Synthesis of Evidence in Software Effort Estimation and dive into cutting-edge research, harnessing Natural Language Processing and AI for Effort Estimation. Shape the future of Software Engineering with us!

    Deadline: 30 Mar 2024

    PhD scholarships in single-cell multi-omics – DTU Biosustain

    The Novo Nordisk Foundation for Biosustainability (DTU Biosustain) at the Technical University of Denmark is seeking highly motivated PhD candidates with an interest in deep learning and bioinformatics approaches for cutting-edge single-cell technologies with applications in complex diseases. If your areas of interest and competence are genomic big data science and machine learning/deep leaning framework development, and you are looking to gain experience while working on projects that will make an impact on the world, this is your chance. All code that you will develop will have a permissive open-source license (e.g., MIT), hosted on GitHub, and will be promoted at the international level via publications and conferences.  Through this, you will get the opportunity to utilize everything you know and help break new ground at the very forefront of what is possible. 

    Deadline: 31 Mar 2024

    PhD scholarship in Deep Learning Theory and Differential Geometry – DTU Compute

    Do you want to contribute to the understanding of modern deep learning by leveraging principles from differential geometry? 

    As our new PhD Student, your task will be to study modern deep learning approaches and develop a theoretical understanding based on differential geometry. In particular, deep neural networks perform surprisingly well on new unseen data, which is known as generalization. However, previous machine learning theory cannot fully explain this behavior and thus new approaches have emerged. A promising explanation is that during the training phase, the models are implicitly regularized which is attributed to the properties of the optimization technique. Intuitively, an example is that stochastic optimizers tend to find flatter minima in the complex loss landscape which is supposed to correlate with generalization. The behavior of the neural network also depends on the architectural choices and the additional training techniques applied during the learning phase. The goal of this project is to approach these concepts using differential geometry, providing a new theoretical framework and developing practical methodologies accordingly. 

    Deadline: 31 Mar 2024

    PhD Stipend in Satellite Data Assimilation and Machine/Deep Learning – Aalborg University

    At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a PhD stipend is available within the general study programme Planning and Development. The stipend is open for appointment from 1 June 2024 or soon hereafter. PLAN conducts research and teaching on development and planning in a broad sense, including social science aspects as well as more technical aspects of development, and with a focus on environmental, international as well as administrative dimensions.

    The PhD project is a part of the Villum Young Investigator Programme(YIP) research project“A Novel Synergy of Physics-based and Data-driven Methods for Reliable Hydrological Predictions under Changing Climate” funded by VILLUM FONDEN. The purpose of this YIP project is to develop novel methods to tackle the scientific challenges of the integration of satellite observations with large-scale hydrological model simulations. The goal is to develop a novel synergy between(sequential) calibration/data assimilation and machine learning/deep learning methods to better understand hydro-meteorological processes that lead to major flood and droughts under changing climate. The practical focus of this research project is around enhancing the prediction of large-scale flood and drought events under the changing climatic conditions.

    Deadline: 01 Apr 2024

    Post Doc positions in Theory of machine learning at Computer Science, Aarhus University

    Two fulltime post doc positions in Theory of machine learning are available. The post docs are under the supervision of Professor Kasper Green Larsen, Aarhus University, Denmark. The focus of the research project is on understanding and improving the performance of classic learning algorithms, in particular Boosting and Bagging, both in terms of speed and generalization capabilities. The project also allows pursuing other ideas and directions within theory of machine learning if the candidates have preferences or ideas from prior work.

    The research is carried out in collaboration with Kasper as well as Ph.D. students and post docs in the group. The candidates are expected to have a strong theoretical background and to be able to carry out proofs independently or with minor guidance. It is not expected that the candidates will do implementations, however, if the candidates wishes to do so, and it is natural in the project, then implementation work is most welcome. In addition to research, there may be minor teaching activities, such as presenting at seminars in the research group or guiding Ph.D. students in joint projects.

    Candidates must have expertise in theory of machine learning and/or theoretical computer science. Publications at top venues such as COLT/NeurIPS/ICML or STOC/FOCS/SODA are much appreciated.

    Deadline: 02 Apr 2024

    Call for open-rank academic position(s) in Applied Machine Learning for Social Data Science – University of Copenhagen

    The Copenhagen Center for Social Data Science (SODAS; https://sodas.ku.dk/), Faculty of Social Sciences, University of Copenhagen, invites applications for at least one full-time open-rank position (i.e., Tenure-Track Assistant Professor / Associate Professor / Full Professor) in Applied Machine Learning for Social Data Science.

    The position is available from 1 January 2025, but an earlier or later starting date is also possible.

    The call includes the following types of positions:

    • Tenure-Track Assistant Professor:
      The position comes with research, teaching, societal impact, and/or innovation obligations and offers the candidate a contract of six years that can result in a tenured associate professorship (contingent on positive evaluation).
    • Associate Professor:
      The position is a permanent position with research, teaching, societal impact, and/or innovation responsibilities. 
    • Full Professor:
      The position is a permanent position with research, teaching, societal impact, and/or innovation responsibilities.

    Deadline: 02 Apr 2024

    PhD scholarship on Quantum Algorithms or Quantum Software – DeiC

    The National Quantum Algorithm Academy (NQAA) under DeiC is offering fully funded 3-year PhD scholarships in the areas of Quantum Algorithms or Quantum Software. The stipends are scheduled to begin in 2024. Associate professors and full professors at Danish universities can apply for fully funded scholarships aiming to develop, study or test quantum algorithms, related software and their applications. The principal applicant is assumed to be the main supervisor. These scholarships can be applied for by researchers from the traditional STEM fields and by researchers from other fields such as health science, social sciences, and humanities. Interdisciplinary applications are welcome.

    Deadline: 15 Apr 2024

    Postdoc position in Data-driven Model Discovery for Turbulent Flows at the Department of Electrical and Computer Engineering – Aarhus University

    The Department of Electrical & Computer Engineering, Aarhus University invites applications for a 2-year postdoc position offering applicants an exciting opportunity to join the Machine Learning & Computational Intelligence research group to pursue research on efficient machine learning (ML) techniques for simulations, reduced-order modeling and optimization of wall-bounded turbulent flows. The contract will be for two years.

    The project is fully funded by the Villum Foundation (Villum Synergy Programme) and is a synergy between the Machine Learning & Computational Intelligence group at the Department of Electrical and Computer Engineering and the Fluid Mechanic and Turbulence group at the Department of Mechanical & Production Engineering. The main objective of this project is to enable data-driven fluid mechanics for fast-paced engineering design and decision-making. In pursuit of this objective, this project aims to develop physics-integrated data-driven models for simulations of wall-bounded turbulent flows through ML.

    You will be a member of the Machine Learning & Computational Intelligence group at the Department of Electrical and Computer Engineering and closely collaborate with members of the Flow Physics and Turbulence group at the Department of Mechanical and Production Engineering. The research groups are specialized in machine/deep learning, statistical machine learning, data-driven analytics, modeling and simulation of turbulent flows, data-driven techniques, and reduced-order modeling.

    Deadline: 02 May 2024

    Postdoc Scholarship on Quantum Algorithms or Quantum Software – DeiC

    The National Quantum Algorithm Academy (NQAA) under DeiC is offering 2 or 3 years fully funded Postdoc scholarships in the areas of Quantum Algorithms or Quantum- Software. The Postdoc project shall develop, study or test quantum algorithms, related software and their applications. The scholarship is required to begin in 2024 and is conditioned on the successful Postdoc applicant possessing the PhD degree not older than five years before commencing the scholarship. Exceptions, such as maternity leave of military service, may be accepted if motivated and documented in the application. Scholarships can be awarded to perform research within the traditional STEM fields or within other fields such as health science, social sciences, and humanities. Interdisciplinary projects are welcome.

    Deadline: 01 Nov 2024

    PhD scholarship in Modeling Sustainability Performance of Bio-based Solutions – DTU Compute

    The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) along with the Department of Applied Mathematics and Computer Science (DTU Compute) and Department of Biotechnology and Biomedicine (DTU Bioengineering) at the Technical University of Denmark are opening a Ph.D. position.
    If your expertise lies in machine and deep learning, and you are looking to make a real-world sustainability impact through biotechnology, this is your chance to contribute. Your efforts will play a vital role in driving the sustainability performance of bio-based solutions for natural products, microbial foods, and sustainable chemicals by applying in-silico and human-in-the-loop strategies for modeling. 

    We are actively seeking motivated Ph.D. candidates with skills in machine learning, deep learning, programming, and big data, with an interest biotechnology—a skill set in high demand in industry and academia. To bridge this gap, we offer a biosustainability-focused Ph.D. project supervised by Line Katrine Harder Clemmensen (DTU Compute) with co-supervision from Sumesh Sukumara (DTU Biosustain) and Marjan Mansourvar (DTU Bioengineering).