University of Zurich · Department of Molecular Life Sciences
The Brunner Lab at the University of Zurich seeks a postdoctoral researcher to develop machine-learning methods for genomics. You will build scalable pipelines for single-cell and cancer-genome analysis and collaborate across a multidisciplinary team.
Requirements: PhD in computational biology, bioinformatics, or a related field; strong Python and R; experience with machine learning and NGS/single-cell data; ability to work on HPC. Publication record expected.
🇨🇭 Zurich100%CHF 85,000–95,000 / year26 Aug 2026
IT / Software
Senior NLP Data Scientist
ETH Zurich · Swiss Data Science Center
The (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) within the ETH domain, with EPFL and ETH Zurich as founding partners. Its mandate is to support academic labs, hospitals, industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services across domains such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructure. The candidate will be integrated into a dynamic and rich environment, with people from different fields and expertise, and will be part of SDSC's Research team. The Research team at the SDSC comprises more than 35 data scientists, seeking to apply novel AI/ML methods to solve real-world problems in the academic and public sectors. for an idea of some of our academic research collaborations. As a Senior Data Scientist with expertise in NLP and LLMs working in the Research team, you will help researchers and other collaborators in academia or the public sector in Switzerland leverage state-of-the-art methodologies. You will help collaborators from various fields carry out projects based on textual or related data (potentially multi-modal), and notably in health and biomedical sciences, climate and environment, energy and sustainability, and social sciences. This typically involves actively exchanging with collaborators and domain experts to understand the precise desiderata of the project, determining which approaches, formulations, and language models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing the evaluations hand-in-hand with collaborators, and eventually releasing open-source…
🇨🇭 Zurich100%fixed-termNo deadline
PhD
PhD Position in Statistics with a focus on Statistical Machine Learning for Self-Driving Microscopy
University of Bern · Faculty of Science
This project provides a rare opportunity to see statistical machine learning models come alive, guiding live experiments. The recruited PhD student will evolve between both groups and become fluent in communicating across disciplines, a major career asset.
🇨🇭 Bern100%TemporaryNo deadline
Postdoc
Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology
EPFL · Post-doc / Collab. scientifique
Mission The Zenk Lab (NeuroNA Chair in Epigenomics of Neurodevelopmental disorders – EpiGN) is seeking a highly motivated postdoctoral researcher with strong training in computational biology and/or machine learning to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data using machine learning approaches to uncover principles of cellular state transitions. The work will be carried out in close collaboration with other labs at EPFL, offering a uniquely rich environment combining experimental biology and computational genomics. Main duties and responsibilities Working and collaborating on research projects Analysis and publication of results Build a strong network in the field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field Experience with machine learning and/or statistical modeling applied to biological data Proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq) Interest or experience in multi-modal data integration and trajectory inference Proficiency in Python and/or R Interest in developmental and human biology is highly valued, but not required Strong collaborative mindset and ability to work across disciplines We offer A highly interdisciplinary research environment at the interface of ML and biology Access to large, state-of-the-art single-cell multi-omics datasets Close collaboration with leading groups in single-cell genomics and machine learning Strong support for high-impact publications and career development Informations Contract Start Date :…
🇨🇭 GenèveCDDNo deadline
Postdoc
Postdoc position on AI alignment and safe AI available at EPFL DLAB
EPFL · Post-doc / Collab. scientifique
Mission Research topics: Alignment Large language models Natural language processing Mechanistic interpretability Applications are invited for a postdoctoral position at EPFL, to be hosted by the Data Science & AI Lab , headed by Prof. Robert West. We seek a candidate who will lead ground-breaking research projects with the goal of building safe AI that truly cares about human interests. Instead of viewing alignment as mere postprocessing of pretrained models (“lipstick-on-a-pig alignment”), you will contribute to our agenda of “raising” models that will be continuously aligned throughout the training process, starting from token 1 in pretraining (see here for a high-level vision). To this end, you will combine synthetic data generation, mechanistic interpretability, LLM pre- and posttraining, and model evaluation in novel ways. Main duties and responsibilities You will contribute to the Swiss AI Initiative , in particular by incorporating your research results into Apertus , SwissAI’s open, transparent, multilingual language model. You will work in a stimulating, open, and international research environment consisting of many highly talented and motivated students, embedded in a strong network of academic and industrial collaborators. Other benefits include a competitive salary (starting at around CHF 88,000 p.a.), an extremely well funded national research system, an office next to a stunning lake and even more stunning mountains, and generous travel support. Involvement in teaching is possible but not required. Project work with MS and PhD students is expected. Profile Candidates should have completed, or be near completion of, a PhD with a strong international publication record in AI or NLP. Strong programming skills and experience with machine learning frameworks are required. We offer A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website…
🇨🇭 LausanneCHF 88,000CDDNo deadline
Postdoc
Postdoc position on AI alignment and safe AI available at EPFL DLAB
EPFL · Post-doc / Collab. scientifique
Mission Research topics: Alignment Large language models Natural language processing Mechanistic interpretability Applications are invited for a postdoctoral position at EPFL, to be hosted by the Data Science & AI Lab , headed by Prof. Robert West. We seek a candidate who will lead ground-breaking research projects with the goal of building safe AI that truly cares about human interests. Instead of viewing alignment as mere postprocessing of pretrained models (“lipstick-on-a-pig alignment”), you will contribute to our agenda of “raising” models that will be continuously aligned throughout the training process, starting from token 1 in pretraining (see here for a high-level vision). To this end, you will combine synthetic data generation, mechanistic interpretability, LLM pre- and posttraining, and model evaluation in novel ways. Principales tâches et responsabilités You will contribute to the Swiss AI Initiative , in particular by incorporating your research results into Apertus , SwissAI’s open, transparent, multilingual language model. You will work in a stimulating, open, and international research environment consisting of many highly talented and motivated students, embedded in a strong network of academic and industrial collaborators. Other benefits include a competitive salary (starting at around CHF 88,000 p.a.), an extremely well funded national research system, an office next to a stunning lake and even more stunning mountains, and generous travel support. Involvement in teaching is possible but not required. Project work with MS and PhD students is expected. Profil Candidates should have completed, or be near completion of, a PhD with a strong international publication record in AI or NLP. Strong programming skills and experience with machine learning frameworks are required. Nous offrons A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website…
🇨🇭 LausanneCHF 88,000CDDNo deadline
Postdoc
Postdoc position in "Gen AI"
EPFL · Post-doc / Collab. scientifique
The Laboratory of Visual Intelligence for Transportation ( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as well as experience handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary research group A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website ( https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Informations Only applications submitted through the online platform are considered. You are asked to supply: A brief cover letter (pdf, up to 2 pages) And in one PDF: A CV with a publication list A research statement (pdf, up to 3 pages) Contact details for 3 referees. For any further information, please contact: Prof. Alexandre Alahi (alexandre.alahi@epfl.ch) Contract Start Date : As soon as possible Activity Rate Min : 100% Activity Rate Max : 100% Contract Type: Fixed-term contract Duration: 24 months
🇨🇭 LausanneCDDNo deadline
Postdoc
Postdoc position in 3D Computer Vision, remote sensing ...
EPFL · Post-doc / Collab. scientifique
The Laboratory of Visual Intelligence for Transportation ( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong computational and analytical skills, as well as experience handling large datasets Independent, creative, and solution-oriented Good interpersonal skills, team player Good knowledge of English (written and spoken) We offer A dynamic and interdisciplinary research group A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Informations Only applications submitted through the online platform are considered. You are asked to supply: A brief cover letter (pdf, up to 2 pages). And in one PDF: A CV with a publication list. A research statement (pdf, up to 3 pages). Contact details for 3 referees. For any further information, please contact: Prof. Alexandre Alahi (alexandre.alahi@epfl.ch) Contract Start Date : As soon as possible Activity Rate Min : 100% Activity Rate Max : 100% Contract Type: Fixed-term contract Duration: 24 months
🇨🇭 LausanneCDDNo deadline
Scientific staff
Software Engineer Position for Scientific AI
EPFL · Information Technology
Mission The research focus of the M-Lab of Adaptive Intelligence is on merging artificial intelligence & neuroscience. We aim to understand the mechanisms underlying adaptive sensorimotor behavior in intelligence systems, aka “adaptive intelligence”, and develop new machine learning methods that enable us to do so. We are looking for a Software Engineer to support our research in understanding affordances - part of the Simons Collaboration on Ecological Neuroscience. You will be part of the team led by Professor Mackenzie Mathis, based in Geneva, Switzerland. Additional information about our…
🇨🇭 GenèveCDDNo deadline
Postdoc
Postdoc Position in Quantitative Finance at EPFL
EPFL · Post-doc / Collab. scientifique
Mission The Swissquote Chair in Quantitative Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities The successful candidates will have a PhD and an outstanding research profile in modern machine learning and applications to finance or related fields. They will be expected to actively contribute to the research and outreach of our group, and assist in teaching in the Financial Engineering Master’s program. The contract is for an initial period of one year, extendable up to three years. We offer A stimulating and international working environment Competitive salary and excellent working conditions – more information can be found on our website (https://www.epfl.ch/campus/services/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/) Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students Informations Candidates should send: A CV (including the names and addresses of two referees) A copy of their official degree transcripts A research statement Review of applications begins immediately and continues until the position is filled. Short-listed candidates may be invited for an interview. All files should be emailed as attachments in PDF format to sophie.cadenakauz@epfl.ch including a brief cover letter in the main body of the email and subject: Application for postdoc in Quantitative Finance. Candidates should ask their two referees to send their letters directly to the same email address.
🇨🇭 LausanneCDDNo deadline
FS
Student / Thesis
Studentische Hilfskraft im Bereich Weiterbildungskurse in IT-Forensik und KI-Sicherheit
Fraunhofer SIT · SIT - Sichere Informationstechnologie
Im Kompetenzfeld „IT Forensics“ erforschen und entwickeln wir Methoden zur digitalen Spurensuche in IT‑Systemen und im Internet zu verschiedenen Fachthemen: Datenträgeranalyse unter Linux und Windows (Dateisysteme bspw. ext[234]/ NTFS / FAT) Erkennen von Bild-/Video-Manipulationen (z.B. Deepfakes) mittels Deeplearning-Classifiers und traditioneller Multimediaforensik Robuste Hashfunktionen zum Wiedererkennen von Bildern OSINT und Crawling, Social Media und Darknet / Kryptowährungen Machine Learning für Datenanalysen KI-Sicherheit: Angriffe auf Deeplearning (Classifiers, LLMs) und…
🇩🇪 DarmstadtNo deadline
FS
Student / Thesis
Student Assistant for Continuing Education Courses in IT Forensics and AI Security
Fraunhofer SIT · SIT - Secure Information Technology
In the area of expertise ‘IT Forensics’, we research and develop methods for the digital search for evidence in IT systems and on the internet on various specialist topics: Data storage device analysis under Linux and Windows (file systems such as ext[234]/NTFS/FAT) Detection of image/video manipulations (e.g., deepfakes) using deep learning classifiers and traditional multimedia forensics Robust hash functions for image recognition OSINT and crawling, social media and the dark web / cryptocurrencies Machine learning for data analysis AI security: Attacks on deep learning (classifiers,…
Fraunhofer LBF · LBF - Structural Durability and System Reliability
Our team at Fraunhofer LBF conducts research into solutions for the design of sustainable materials, structures, and systems, as well as circular economy strategies that meet the highest standards of reliability, efficiency, and resilience. Would you like to be part of this inspiring team? We look forward to receiving your application! Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all genders) Darmstadt As electric mobility continues to expand globally, sustainable recycling and second-life utilization of traction batteries are becoming increasingly critical. At…
🇩🇪 DarmstadtNo deadline
FI
Student / Thesis
Studentische Hilfskraft im Bereich: semantic modelling and machine learning
Fraunhofer IWU · IWU - Werkzeugmaschinen und Umformtechnik
Die Fraunhofer-Gesellschaft mit Sitz in Deutschland ist die weltweit führende Organisation für anwendungsorientierte Forschung. Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt sie eine zentrale Rolle im Innovationsprozess. Etwa 30 800 Mitarbeitende, überwiegend mit natur- oder ingenieurwissenschaftlicher Ausbildung, erarbeiten das jährliche Forschungsvolumen von rund 3,0 Mrd. €. In der Abteilung „Digitalisierung in der Produktion“ entwickeln wir Softwarekomponenten für flexiblere, intelligentere…
Fraunhofer IWU · IWU - Werkzeugmaschinen und Umformtechnik
Das IWU betreibt anwendungsorientierte Forschung auf dem Gebiet der Produktionstechnik. Die Forschungskompetenzen umfassen u.a. Werkzeugmaschinen, Montagetechnik und Mechatronik bis zum Prozessdatenmanagement. Das Geschäftsfeld „Kognitive Produktionssysteme“ befasst sich mit der Entwicklung einer adaptiven, flexiblen und wandlungsfähigen Produktion, mit Schwerpunkt auf Robotik und Bildverarbeitung. Hier sorgst Du für Veränderung Recherche aktueller wissenschaftlicher Arbeiten und industrieller Lösungen im Bereich Computer Vision und Machine Learning, Unterstützung bei der Entwicklung von…
🇩🇪 DresdenNo deadline
FI
Student / Thesis
Studentische Hilfskraft: Software development & data science in der vernetzten adaptiven Produktion
Fraunhofer IPT · IPT - Produktionstechnologie
Die Abteilung » Produktionsqualität « forscht an der gesamten industriellen Daten-Pipeline: Von der Datenaufnahme über die Datenübertragung und -speicherung, dem digitalen Zwilling, Datenanalysen, Machine Learning bis hin zu Expertensystemen, der Visualisierung über AR/ VR und Künstlicher Intelligenz. Als Software Developer*in in unserer Abteilung arbeitest du direkt mit unserem Team aus studentischen und wissenschaftlichen Mitarbeitenden an aktuellen Herausforderungen der Industrie und in spannenden Forschungsprojekten. Hier sorgst Du für Veränderung Unterstützung bei der Entwicklung neuer…
🇩🇪 AachenNo deadline
FI
Administrative / Other
BT/MT: »Deep learning and machine learning in production«
Fraunhofer IPT · IPT - Production Technology
In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells to fight blood cancer, optics, or lightweight components. In particular, tabular and image data are recorded during production. In the context of the thesis, DL - as well as ML pipelines are to be created for the applications of the production, which are taken in our industry projects directly on site into the operation. What you will do Creation and preparation of image and tabular data in…
🇩🇪 AachenNo deadline
FI
Student / Thesis
Bachelor-/ Masterarbeit:: »Deep Learning und Machine Learning in der Produktion«
Fraunhofer IPT · IPT - Produktionstechnologie
In der Produktion existieren unterschiedlichste Anwendungsfälle, bei denen Deep Learning (DL) und Machine Learning (ML) erfolgreich eingesetzt werden. Beispiele von Anwendungsfällen stellen die Produktion von Raketen, Stammzellen zur Bekämpfung von Blutkrebs, Optiken und Leichtbauteilen dar. Dabei werden in der Produktion insbesondere tabulare Daten und Bilddaten aufgenommen. Im Rahmen dieser Abschlussarbeit erstellst Du für die Anwendungen der Produktion DL- sowie ML-Pipelines, die in unseren Industrieprojekten direkt vor Ort in den Einsatz genommen werden können. Hier sorgst Du für…
🇩🇪 AachenNo deadline
FI
Student / Thesis
Master Thesis: »Machine Learning (ML)-Based Methods as Surrogate for Finite Element Modelling«
Fraunhofer IPT · IPT - Production Technology
The » High-Performance Cutting « department develops technologies and application-oriented solutions for machining along the entire process chain - from process design and process simulation to real-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM) simulations and offer time-saving benefits. We are looking for a dedicated and motivated student to assist us in implementing a novel Graph Neural Network based algorithm that can act as surrogate…
🇩🇪 AachenNo deadline
FI
Student / Thesis
Student assistant in the field of "Media Distribution and Security"
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
🇩🇪 IlmenauNo deadline
FI
Student / Thesis
Student assistant in the field of "Semantic Music Technolgies«
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
🇩🇪 IlmenauNo deadline
FI
Internship
Mandatory internship in the field of "Semantic Music Technologies"
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
🇩🇪 IlmenauNo deadline
FI
Internship
Initiative position as an intern
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
🇩🇪 IlmenauNo deadline
FI
Student / Thesis
Initiative position as an student assistant
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
🇩🇪 IlmenauNo deadline
FI
Administrative / Other
Initiative position as an employee
Fraunhofer IDMT · IDMT - Digital Media Technology
The Fraunhofer Institute for Digital Media Technology IDMT is part of the Fraunhofer-Gesellschaft. Headquartered on the campus of Technische Universität Ilmenau in Ilmenau, Thuringia, the institute is internationally recognized for its expertise in applied electroacoustics and audio engineering, AI-based signal analysis and machine learning, and data privacy and security. Under the motto 'Where AI means Audio Intelligence', the Ilmenau researchers are developing technologies for the robust and trustworthy AI-based analysis and classification of audio and video data. These technologies are…
