The official conference app for European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024
Jobs Posted on the Whova Community Board of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024
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PhD Positions in Complexity Science
Complexity Science Hub Advance the frontier of AI and machine learning by applying these tools to understand complex systems. Our PhD program focuses on using generative models, neural networks, and adv... anced algorithms to study a range of systems—from social dynamics and economic networks to environmental systems and health outcomes. Our research combines AI with complexity science to reveal patterns, predict outcomes, and develop data-driven solutions to real-world challenges. Choose a research project and advisor aligned with your interests. We have ≥ 7 fully-funded positions available. Join us in Vienna and use AI to help understand society and the planet.
Postdoc from Jan 1, 2025 for 3 years at Univ Magdeburg on RheumaMining
Otto-von-Guericke University of Magdeburg I am proud to announce the project RheumaMining: together with medical researchers we will work on early prediction of treatment oucome for patients with chronic arthritis. Our go... al is to recognize early whether a treatment needs to be modified and what effects the modification will have for a patient. Work is on clinical data and digital heslth dats. Formal announcement coming soon. If interested, come over after the ECMLPKFD 2024 session og Sept 10, 11.00 in room Gamma, which I am chairing. Or drop me an email.
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Postdoc
Inserm we are recruiting two post-doctoral researchers in genetic epidemiology with a experience in biostatistics (or bioinformatics) to work on the SHIVA research project (Stopping cogn... itive decline and dementia by fighting covert vascular brain injury).
Halmstad University Halmstad University aims to expand its strengths in machine learning (ML) and artificial intelligence (AI) as increasingly important drivers of society’s digitalization. Our partn... ers can use AI/ML to tackle better challenges related to electromobility, and autonomous driving, as well as efficiency, reliability, and resilience of Industry 5.0.
The postdoc is expected to do research, both independently and in collaboration with other members of the CAISR research group, across various cutting-edge AI/ML topics, including data mining, context-aware systems, knowledge-based intelligent systems, representation learning, meta-learning, transfer learning, multi-task, self-supervised and weakly-supervised learning, federated learning, anomaly detection, synthetic data generation, graph neural networks, evaluation, verification and validation of intelligent systems, and more.
This is a two year position with a possibility to extension with one year if additional external funding is received.
Meet us at ECML PKDD at our Discovery Challenge (Volvo Truck Failure Prediction), our workshop (Explainable and Robust AI for Industry 4.0 & 5.0), any of the sessions we are chairing, or just drop us a message here so we can find each other.
Link:https://hh.varbi.com/se/what:job/jobID:747124/iframeEmbedded:0/where:4See More >>
Assistant/Associate Professor on Deep Learning for Multimodal Data – CDI
Institut Polytechnique de Paris The ideal candidate will hold a PhD in computer vision, machine learning or signal processing, with an excellent publication record and solid international experience. He/she will... demonstrate competence in deep learning for multimodal data, computer vision and video processing. Qualities such as team spirit, autonomy, motivation, as well as the ability to secure funding and advise theses are essential. Fluency in English is required, while knowledge of French is not mandatory. Experience in university teaching is desirable. Additional skills in probabilistic models, statistical image/video processing and continuous learning will be appreciated. If you are passionate about deep learning and multimodal data, and would like to join a team of internationally renowned researchers, come and join us!
Link:https://academicpositions.fr/ad/telecom-paris/2024/assistant-associate-professor-on-deep-learning-for-multimodal-data-cdi/221156See More >>
Postdoc & PhD positions - ERC Advanced Grant VIGILIA
Ghent University The AI and Data Analytics (AIDA) research group at Ghent University has multiple fully-funded postdoc and PhD fellowships available on the new ERC Advanced Grant VIGILIA - "Virtua... l GuardIan angeLs for the post-truth Information Age".
Topics: Knowledge Graps, Large Language Models, Probabilistic Modelling, Cognitive Science.
An interest in the challenges of mis/dis/malinformation, and how to mitigate the risks thereof without undermining the freedom of speech and of information, is a strong plus.
ASOS is a destination for fashion-loving 20-somethings all around the world. Available in nine languages and in over 200 markets, ASOS customers can shop a ... curated edit of nearly 50,000 products, sourced from nearly 900 global and local third-party brands. As an online only retailer, we have unique datasets - transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products. These datasets represent artefacts of fashion culture in the real world, and we want to leverage these signals to build AI products for fashion intelligence.
The Pricing and Discount Targeting AI team develops machine learning systems for pricing and incentivization. We are seeking a research-oriented scientist to focus on multimodal content understanding. Your work will enhance our understanding of how customers perceive products and make decisions within the context of fashion. You will be part of a cross-functional team of scientists and engineers, leading a research project directly relevant to our scientific workstreams. Additionally, you may consult with other AI teams specializing in machine learning for discovery and demand forecasting.
Responsibilities
* Conduct machine learning research into the topic of multi-modal content understanding in fashion * Bring domain expertise around representation learning, computer vision and text processing * Keeping up with relevant state-of-the-art research, taking part in reading groups alongside other scientists * There will also be an opportunity to publish novel research at machine learning conferences
Link:https://docs.google.com/forms/d/e/1FAIpQLSdcfedJbVPDLribuBHG5nWDr-jpTZxFw1NT6r24zmBBh30JfA/viewform?usp=send_formSee More >>
PhD @ University of Bristol (fully funded)
University of Bristol We seek a postgraduate researcher with an interest in machine learning methods biomedical literature and evidence triangulation. You will join an interdisciplinary research team p... roviding a rich and dynamic training environment as part of an academic-industry collaboration. This project will apply cutting-edge artificial intelligence (AI) approaches to address “information overload” in the pharmaceutical industry.
This 4-year University of Bristol PhD scholarship is fully funded by Roche a global biotech company, a leading provider of in-vitro diagnostics and a global supplier of transformative innovddative solutions across major disease areas. The project will be jointly supervised by an interdisciplinary team from the MRC Integrative Epidemiology Unit (MRC IEU) and from the Department of Engineering Mathematics in University of Bristol as well as from Roche.
Senior Machine Learning Scientist at TripAdvisor (Viator)
TripAdvisor Tripadvisor is looking for a Senior Machine Learning Scientist on our Viator brand, home to over 300K bookable experiences worldwide. Our 12 strong team works across some of the m... ost
exciting problems in e-commerce and travel, including:
Sort & Ranking User Recommendations Product Understanding Pricing User Acquisition & Retention Online Advertising
Working across the Viator brand, you will work at the cutting edge of the following disciplines:
Deep Learning Bayesian Modeling Large Language Models (LLMs) Product embeddings Recommender Systems Computer Vision
At Viator, we understand that Machine Learning is a broad and evolving field. Whether you are a seasoned expert in Deep Learning, or have a wider range of expertise across multiple areas,
within the Viator team you will be encouraged to find your niche to make an impact on our travellers. You will deploy your solutions online and observe your work's impact in real-time via
A/B tests as you help the company grow. You should expect to work closely with a cross disciplinary team to develop, test and deploy models into production regularly.
What you will bring to the team:
A postgraduate degree in Machine Learning / AI or a related discipline OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). Proficiency in Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). An understanding of MLOps and best practices around experimentation, deployment and monitoring. You should be familiar with concepts such as data versioning, model versioning, model monitoring and CI/CD for DS&ML A flair for business understanding, with the ability to communicate effectively with audiences of various backgrounds, levels, and functions.
TripAdvisor The Tripadvisor Machine Learning Team is looking for an exceptional individual to lead a team working on designing and building next-generation AI systems to understand our travel... ers and products and improve customer experience. Our work will significantly improve our ability to offer travelers the broadest, most relevant travel products.
You will lead a team of highly talented ML Engineers focusing on content-related or search-related AI projects. Our initiatives aim to enhance user-generated content accessibility for travelers through AI Review Summaries, Collections, Auto-Tagging & Knowledge Graphs, topic classification, machine translation, and more. This foundational work improves travelers’ exploration of our content and plan their dream vacation! You'll work with cutting-edge technologies including Natural Language Understanding, Large Language Models (LLMs), Knowledge Graphs, and GenAI.
Link:https://www.linkedin.com/jobs/view/3970610727See More >>
ML for Science: Marie Curie PostDoc fellowship
Jozef Stefan Institute, Dept. Knowledge Technologies A Marie Curie postdoc fellow position is available at the Dept. of Knowledge Technologies of the Jozef Stefan Institute in Ljubljana. It is part of a Marie Sklodowska Curie Activi... ty (MSCA), titled Machine Learning for Science and Humanities (SMASH). Available to PhD holders with experience in Computer Science and Artificial Intelligence.
Funded jointly (under the COFUND scheme) by the European Union and the Slovenian government for a two-year period. During this time, the post-doc will have access to the institute's resources, including state-of-the-art facilities and equipment, interdisciplinary research opportunities, and career development activities. Very competitive salary (roughly twice the salary of a postdoc funded according to local funding rules).
We are looking for an enthusiastic and highly motivated individual who is passionate about their research and eager to contribute to the institute's research on machine learning for science. The successful applicant will have a PhD, preferrably in Machine Learning/ Artificial Intelligence/ Computer Science, and a strong interest in developing and/or applying machine learning and artificial intelligence methods to challenging scientific problems. Please contact Saso.Dzeroski@ijs.si as soon as possible: The deadline for appications is October 21, but applications need to include a short research project proposal aligned with the host's interests, so early contact is essential.
More information on the SMASH activity and how to apply for the postdoc position can be found at https://smash.ung.si/open-call-3/ The position falls under topic/research area 1 (Machine Learning for Scientific Applications), subtopics 1.1. (Learning from complex data and computational scientific discovery) and 1.3 (Beyond supervised learning). Don't hesitate to contact me! I am at ECML PKDD for the whole week.
Funded PhD position @ Ghent University - Inductive methods for dimensionality reduction and visualization
Ghent University The AI & Data Analytics (AIDA) group is seeking a motivate candidate for a fully funded four-year PhD student position at the intersection of AI/Machine Learning and Data Visu... alization.
2 Funded PhD Positions in Graph Convolutional Networks
KTH Royal Institute KTH Royal Institute of Technology in Stockholm has established itself as one of Europe’s premier technical and engineering universities, recognized for its contributions to innova... tion and intellectual leadership. As Sweden’s largest institution for technical research and education, KTH is a hub for students, researchers, and faculty from across the globe.
We offer two Ph.D. positions focused on advancing graph convolutional neural networks in the following areas: 1) large-scale cancer data analysis and 2) drug side effect prediction. The first research project involves utilizing knowledge transfer methods to identify essential genes and gene modules associated with breast and ovarian cancer.
The second research project focuses on predicting adverse drug reactions (ADRs) using publicly available data, enhanced with Sweden’s drug interaction dataset, creating a valuable new resource for research.
These projects are supported by a prestigious Data-Driven Life Science (DDLS) grant. We seek highly motivated candidates for these 4-year doctoral positions who must hold an M.Sc. degree in a relevant discipline such as computer science, data science, bioinformatics, mathematical statistics, or mathematics. The ideal candidate should also have strong knowledge of graphs, machine learning, and deep learning methods.
The full advertisement will be available in October, but you can find me at the conference or contact me through Whova or email for more information.
Arcelormittal As Research Engineer, you will be involved in digitalization of the industry which heavy focus on quality & reliability through Fault Detection and Diagnosis (FDD) algorithm &... amp; satistical modeling.
Your main activities will include the following: Develop and deploy machine learning solution for process monitoring Develop and deploy machine learning solution for process optimization Lead research activities in the framework of research projects and technical supports to plants Contribute to the development and renewal of the activities: proposal of new research axes, new projects
Your profile Requirements: You hold a Master's degree or PhD in computer science or statistics or in a related field You have at least 3 years of experience in data science / statistics role supporting the industry You have extensive programming experience in Python technology stack (pandas, numpy, scikit-learn, matplotlib, seaborn, shap etc.). Experience in working with virtual environments and version control (e.g. git) You have Excellent knowledge of machine learning algorithms for clustering, classification, regression, anomaly detection, and optimization, preferably with both small, big data and time series You have excellent storytelling and communication skills, both oral and written, especially in explaining complex concepts in simple terms You have excellent social skills to work in a team You are able to travel worldwide You have advanced levels of English and French
AI Software Engineer in the field of LLMs & Agents @ NEC Labs Europe
NEC Labs Europe Our research lab is seeking an experienced AI Software Engineer to contribute to the development and implementation of Large Language Models and advanced AI agents. The candidate ... will work closely with NLP & LLM scientists and engineers to translate theoretical models into practical AI solutions. Also, see our other job offers at https://www.neclab.eu/join-us
Audible / Amazon As a Data Scientist, you will be responsible to
- Develop and validate models to optimize the Who, When, Where and How of all our interactions with customers
- Devel... op Audible-wide data engineering pipelines
- Imagine and invent before the business asks, and create groundbreaking applications using cutting-edge approaches
- Open the Science black-box, use causal inference and develop compelling data visualizations
- Work closely with other data scientists, ML experts, engineers and on cross-disciplinary efforts with other scientists within Amazon
The Team: Audible's Data Science team partners with marketing, content, product, and technology partners to solve business and technology problems using scientific approaches to build products and services that surprise and delight our customers.
We employ scalable cutting-edge Data Science (DS), machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
Victoria University of Wellington Victoria University of Wellington is currently recruiting a Lecturer/Senior Lecturer in Artificial Intelligence to join the School of Engineering and Computer Science on a full-ti... me, permanent basis.
The position represents a chance to provide leadership, research, and teaching support in Engineering and Computer Science, particularly within the Artificial Intelligence (AI) programme. The appointee will work with existing staff in the AI programme and across the School to continue the development of the programme and its integration with other programmes as well as increase our impact via research and broader engagement with external stakeholders.
All areas of AI are of interest, see link for more details
PhD in Applied Machine Learning at HTW Berlin and HPI
HTW Berlin / Hasso Plattner Institute Please note that this position required German language skills.
This is a collaboration between HTW Berlin and HPI/University of Potsdam. The PhD will be awarded by HPI/Uni... versity of Potsdam. For more information about HPI, see http://deepdata.demelo.org/join/
Important: If you are interested in this position, please apply by September 11, 2024!
University of North Texas I am looking for motivated individuals to apply for our PhD Program in Data Science at University of North Texas.
The PhD in Data Science program is designed to equip schol... ars with advanced knowledge and research skills to address modern challenges in data analysis, machine learning, and statistical modeling. Our program integrates cutting-edge computational techniques with domain expertise, allowing students to work on impactful research projects in diverse fields such as healthcare, finance, transportation, environmental science, and more. Who Should Apply? I am seeking applications from candidates who have a strong background in data science, computer science, applied mathematics, statistics, or related disciplines. Ideal applicants will have: * A Master’s degree in a relevant field, or equivalent experience * A strong academic record and demonstrated research potential * Proficiency in programming languages such as Python, R, or SQL * Knowledge of key data science methodologies, including machine learning, statistical modeling, and data visualization * A passion for tackling complex data-driven problems across different sectors
PhD candidates will have the opportunity to contribute to research in areas including but not limited to: * Machine Learning and Artificial Intelligence * Big Data Analytics and large-scale data processing * Statistical Modeling and Inference * Data Mining and Knowledge Discovery * Spatiotemporal Causal Inference * Large Language Models
Postdoc position on Uncertainty in Machine Learning at the University of Tartu, in the ML group led by Meelis Kull. There ... is flexibility in choosing which of our several ongoing and starting projects to work on. The group focuses on uncertainty in ML and more broadly on methods for trustworthy AI.
Telecom Paris Are you interested in doing research in Deep learning? thrilled by Pruning, gaussian splatting, PET methods, Neural Architecture Search or Debiasing? Joint me at Telecom Paris ... for a stage or a visiting period! Calls for applications are now open! Approach me during the conférence or sens me an email with a motivation statement (and the topic you liké to work on) at Enzo.tartaglione@telecom-paris.fr.
Siemens AG In the Chief Technology Office’s Digital Portfolio team, we are bringing together our product and portfolio managers, customers, and sales specialists with one goal only: Improve ... and transform our digital products and services to enable our customer to master the challenges ahead. Support utilities and grid operators to upgrade their grids for e-cars and renewable energy in the fastest and most efficient way. Build manufacturing processes that improve use of renewable energy. Make buildings and neighborhoods smarter and more sustainable. We are looking for an impact maker that can translate recent advances in machine learning and analytics into innovation initiatives for our digital products. You will work closely with a diverse group of product managers to identify common AI-driven capabilities, build initial prototypes jointly with our industry-leading customers, and establish those new capabilities as part of the product roadmaps.
TechWolf Do you want to work directly with our CTO and co-founder on product-driven AI research in the HR domain? Then this could be the job for you! Read more in the url.
Image processing and Machine Learning Design Engineer
ASML The team covers the development of novel metrology methods across applications, leveraging numerical data-driven methods and physics knowledge. Positioned between research and... product development, the group contributes to the invention of new ASML methods, provides state of the art expertise, and secures the image processing and machine learning competence.
- drive and propose machine learning models and strategies, image processing algorithms, signal processing and optimization techniques which enable and improve semiconductor metrology beyond resolution limit - implement ML and deep learning metrology applications. - design and realize end-to-end subsystems on the edge of system specifications, contributing directly to products for customers world-wide
Link:https://www.asml.com/en/careers/find-your-job/senior-image-processing-and-machine-learning-design-engineer-j00300046See More >>
Assistant Professor of Computer Science
Montana State University See link for full vacancy announcement. Focus is on hiring two tenure track faculty, one specializing in fundamental research in machine learning.
... Link:https://jobs.montana.edu/postings/42471See More >>
Exciting opportunity to work with a group of PhD students in the area of knowledge centric AI and build yo... ur own research profile with strong international connections to Stanford or San Diego. Additionally you get to live in a beautiful city by the sea :)
Asos.com We are looking for a Senior Machine Learning Scientist, with expertise in deep learning, to join our cross-functional Customer Experience team to help further the success of our r... ecommender system. Our system plays a key role in helping ASOS provide the best shopping experience to our millions of customers by surfacing the right product to the right customer at the right time, handling up to 8000 requests per second at peak in production. The whole team is responsible for the end-to-end system, and we are all accountable for making sure it performs in production, at the scale at which ASOS operates.
What youll be doing:
You will be part of an agile, cross-functional team building and managing a large-scale recommender system, working with massive amounts of data, and delivering deep learning models into production. You will be driving the implementation and scale-up of algorithms for measurable impact across the business and set up and conduct large-scale experiments to test hypotheses and drive product development. You will be keeping up to date with relevant state-of-the-art research, taking part in reading groups alongside other scientists, with the opportunity to publish novel prototypes for the business at top conferences. You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features for our millions of global customers. You will be mentoring and coaching junior members of the team, supporting their technical progress. You will take part in regular Tech Develops days to learn new things, take part in internal and external hackathons, and share your knowledge and help drive improvements in science and engineering. You will support our culture by championing Diversity, Equity & Inclusion strategies.
Link:https://www.asoscareers.com/job-search/technology-data/ai-data-science/london/senior-machine-learning-scientist-recommendations/744000013338836See More >>
PhD position researching the robustness of xAI approaches
RPTU Kaiserslautern-Landau We are searching for one PhD student interested in explainability approaches and their robustness.
Together with a team of psychologists, we are trying to determine how ps... ychological effective and mathematically robust xAI approaches are. While the psychologist will be working on the first aspect, we are focusing on the robustness of xAI. For this work, we are searching for someone who is interested in theoretical computer science and mathematics - we want to crack open xAI approaches and test their limitations and weaknesses. You can get an idea of how we are trying to do that in our paper "Hacking a surrogate approach to xAI" (2024, https://doi.org/10.48550/arXiv.2406.16626) This project is funded by the German federal ministry for education and research and ends at the end of 2026.
We are offering a 100% position starting asap that requires a move to Germany, but no German language skills.
If you are interested, we, Prof. Dr. Katharina Zweig, Alexander Wilhelm, and Reem Al-Aqmer, would love to meet you at ECML PKDD. Alternatively, you can also send us your CV at Alexander.wilhelm@dfki.deSee More >>
Post-Doc at HPI/Potsdam University in Berlin/Potsdam, Germany
Hasso Plattner Institute / University of Potsdam We have a new opening for a 2-year post-doc position at Hasso Plattner Institute / University of Potsdam.
... Link:http://deepdata.demelo.org/join/See More >>
Tenure Track Professorship (Junior professorship) for Generative Artificial Intelligence for Software Engineering
University Duisburg-Essen The University of Duisburg-Essen is looking for an excellent early-career researcher who focuses on the development and application of generative models for software engineering i... n both research and teaching. Preferred areas of expertise include generative AI (e.g., Large Language Models (LLMs), Natural Language Processing (NLP)) with a clear application to software engineering (e.g., requirements engineering, architectural design, quality assurance, operations, or maintenance).
