ETH Zurich

PhD Position in AI and Strategy 100%, Zurich, fixed-term print Drucken We are excited to announce a fully funded PhD position at the Chair of Strategic Management and Innovation (SMI), ETH Zurich. This position is associated with the SNSF-funded research project focusing on the role of artificial intelligence in strategy. The project investigates how AI can transform and support strategic processes in organizations. Job description The Chair of Strategic Management and Innovation provides an inspiring, team-based research environment with a dynamic and international group of researchers. Our team has a strong track record of publishing in leading journals such as Academy of Management Journal , Management Science , Organization Science , Strategic Management Journal , and Harvard Business Review . You are expected to produce a dissertation project typically consisting of at least three high-quality papers intended for top-tier journals. The position offers close supervision and collaboration with leading faculty and senior researchers, as well as access to ETH Zurich-s excellent research infrastructure and strong international network of collaborators. Position Details: Institution: ETH Zurich, Department of Management, Technology, and Economics (D-MTEC) Chair: Strategic Management and Innovation (Prof. Dr. Georg von Krogh) Start Date: Flexible, applications reviewed on a rolling basis Funding: Fully funded PhD position (up to 4 years) Profile Inclusion Criteria (applications not meeting these cannot be considered): Master-s degree in Management or a related discipline (e.g., Management Engineering, Management Information Systems, Business Administration, Economics with a management focus) Graduation not older than two years at the time of application Proficiency in German (spoken and written) Proven track record of strong academic performance Outstanding performance in the Master thesis or comparable demonstration of research potential Strong analytical, problem-solving, and communication skills Demonstrated ability to work independently and collaboratively in interdisciplinary teams Additional Qualifications Considered an Advantage: Knowledge or practical experience with AI, particularly in business or organizational contexts Previous consulting or industry experience in strategy or management Workplace Workplace We offer The opportunity to conduct cutting-edge research in a highly relevant and rapidly evolving field Supervision and collaboration with leading faculty and senior researchers at ETH Zurich An inspiring, international, and supportive research environment A dissertation project consisting of at least three papers aimed at top-tier journals Access to ETH Zurich-s excellent research infrastructure and strong international collaborations Competitive salary and employment conditions according to ETH Zurich regulations chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via ETH Zurich-s online application system can be considered. Please prepare the following documents: Motivation letter (max. 2 pages) Curriculum Vitae (CV) Academic transcripts and diplomas (Bachelor and Master) Master thesis and/or proof of thesis grade (e.g., grading confirmation) Names and contact details of at least two academic referees At least one reference letter (to be uploaded directly or sent confidentially by the referee) For additional details, visit our website. Potential inquiries regarding the position should be directed to Dr. Ann-Kristin Weiser via email aweiser@ethz.ch. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. We look forward to receiving your application and welcoming a new researcher to our team at ETH Zurich! About ETH Zürich ETH Zurich is one of the world-s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Postdoctoral position in Development and application of computational methods for functional genomics 100%, Basel, fixed-term print Drucken The Laboratory for Biological Engineering (Prof. Randall J Platt) of the ETH Zurich in Basel, Switzerland develops genome engineering technologies and applies them to a range of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a full-time (100%) Postdoctoral Associate to develop and apply computational methods for novel experimental functional genomics datasets. Project background Our lab builds high-throughput experimental platforms that require the development of equally innovative computational methods. Two areas in which the candidate will contribute include: In vivo single-cell CRISPR perturbation screens CRISPR perturbation screens, such as Perturb-seq, are transforming how we study gene function at scale. We recently developed an AAV-based method for direct in vivo single-cell CRISPR screening (Santinha, Nature , 2023) and are expanding this to generate in vivo cell-type perturbation atlases, interrogate disease mechanisms, and identify therapeutic targets. These efforts will generate large-scale, rich perturbation datasets, requiring the development of sophisticated approaches and methods incorporating facets such as machine learning and modeling. Transcriptome recording and cellular history reconstruction We are advancing our CRISPR-based transcriptional recording method (Schmidt, Nature , 2018; Tanna, Nature Protocols , 2020) that encodes transient cellular events into DNA and reads them out by sequencing. Computational challenges include detection of biological signals while applying Record-seq to complex in vivo environments (Schmidt, Science , 2022), especially in the context of drug-host microbiome interactions, and the development of dedicated tools for the novel data modality generated by Record-seq. Job description We are looking for a highly motivated and collaborative researcher to join us in advancing these efforts. The candidate will work as part of a multidisciplinary team and be passionate about science, technology, collaboration, and communication. The candidate will work closely with laboratory members (experimental and computational) and engage in planning projects and experiments, developing computational methods, analyzing as well as integrating omics datasets, and interpreting findings. The candidate will primarily be engaged in the following activities: Develop analysis methods and advise on experimental design (target gene selection, power analyses, guide-library design, readout selection). Build, maintain, and document reproducible analysis pipelines (Python/R; Snakemake/Nextflow preferred) for novel experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods papers, present results within the lab and at conferences, and help mentor students. Use and maintain lab resources on HPC and Github. Tools you will use daily include Python and R, version control (Git), and HPC schedulers. Profile The ideal candidate will have at least a PhD or equivalent in Bioinformatics, Computational Biology, Computer Science, Applied Statistics or a related field. The candidate must be able to communicate effectively in a highly interdisciplinary and international environment, which includes a mastery of oral and written English. Extensive prior experience in the following is essential: Strong Python and R skills; solid software-engineering practices (testing, packaging, documentation, Git). Demonstrated experience analyzing deep sequencing and single-cell data (e.g., Scanpy/Seurat, count models, batch correction, differential analyses). Strong grounding in statistics (GLMs, hierarchical/Bayesian modeling, multiple testing) and experimental-design principles. Bioinformatics workflow design (Snakemake/Nextflow) and HPC/cloud computing. Prior experience in the following is a major plus: CRISPR screen analysis (pooled or single cell), guide demultiplexing, library design Metagenomics, meta-transcriptomics and metabolomics data analysis and familiarity with gut microbiome research. Machine learning for genomics (representation learning, generative models, causal inference). Multi-omics integration (scRNA-seq + CRISPR barcode/perturbation; metagenomics/meta-transcriptomics/metabolomics; transcriptomics/proteomics). Genome-scale metabolic modeling applied to single microbes and their communities. Workplace Workplace We offer The position is located in the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel, Switzerland. The D-BSSE is a highly interdisciplinary department - specializing in systems and synthetic biology, bioinformatics and data science, and engineering sciences. The D-BSSE is centrally located within a biomedical research hub with close links to top academic institutions (e.g., Swiss Institute of Bioinformatics, Friedrich Miescher Institute (FMI), Biozentrum and University of Basel) as well as major biotechnology and pharmaceutical companies (e.g., Novartis, Roche, Bayer, and Lonza). The ETH Zurich is a global leader in science and technology and consistently ranks as one of the top universities in the world. Basel, Switzerland is an international city on the border with France and Germany - nested between the Swiss alps and the black forest. The city provides easy access to arts and culture, nature and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents (as a single PDF) until 10 October 2025 : Cover letter that mentions your scientific interests and why you are interested in the group CV Diplomas and course transcripts Contact details of three referees Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about the Department can be found on our website. Questions regarding the position should be directed to Prof. Platt, rplatt@ethz.ch (no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world-s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Reserach Technician: Molecular technology development 60%-100%, Basel, fixed-term print Drucken The Laboratory for Biological Engineering (Prof. Randall J Platt) of the ETH Zurich in Basel, Switzerland develops genome engineering technologies and applies them to a range of fundamental and disease-focused areas. To advance these efforts, the Platt group is recruiting a part- (at least 60%) or full-time (100%) research technician to support ongoing experimental efforts. Project background We are looking for a research technician to work with scientists in the laboratory on their ongoing projects related to molecular technology development, CRISPR technologies, pooled screening, viral vectors, and mouse models. Job description We are looking for a highly organized research technician to join a multidisciplinary team of researchers. The candidate will work closely with laboratory members to aid in planning and running experiments. Research technican duties primarily include: molecular cloning (PCR, classic restriction enzyme cloning, Golden-Gate Assembly and Gibson assembly) preparation of plasmid DNA from E. coli maintenance and transfection of standard mammalian cell lines flow cytometry production and purification of lentivirus and adeno-associated virus titration of these respective viruses by functional titration, qPCR or droplet digital PCR preparation of DNA libraries for high-throughput sequencing other common tasks of molecular and cellular biology Research technician duties may also involve mouse models, including husbandry, injections, tissue dissection, and cell or nuclei isolation. Profile The ideal candidate will have at least completed the apprenticeship for a biology laboratory techician OR a Master-s degree or equivalent in Molecular Biotechnology, Biochemistry, Molecular Medicine, Structural Biology, Molecular and Cellular Biology, or a related field. The candidate must be able to communicate effectively in a highly interdisciplinary and international environment, which includes a mastery of oral and written English. The candidate will be passionate about science, technology, collaboration, and communication. The candidate must have a strong motivation and interest in collaboration with multi-disciplinary scientists. Extensive prior experience with contemporary methods in molecular and cellular biology, including the duties listed above, is essential. Mastery of Excel, Powerpoint, and at least one cloning (e.g., Geneious) and plotting (e.g., Prism) software is essential. Prior experience with illustration software (e.g., Adobe Illustrator, BioRender) is not essential but a major plus. Prior experience with mouse models is not essential but a major plus. Workplace Workplace We offer The position is located in the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel, Switzerland . The D-BSSE is a highly interdisciplinary department - specializing in systems and synthetic biology, bioinformatics and data science, and engineering sciences related to microfluidics and microfabrication. The D-BSSE is centrally located within a biomedical research hub with close links to top academic institutions (e.g., Friedrich Miescher Institute (FMI), Biozentrum and University of Basel) as well as major biotechnology and pharmaceutical companies (e.g., Novartis, Roche, Bayer, and Lonza). The ETH Zurich is a global leader in science and technology and consistently ranks as one of the top universities in the world. Basel, Switzerland is an international city on the border with France and Germany - nested between the Swiss alps, black forest, and cheese and wine country. The city provides easy access to arts and culture, nature and adventure, and short commutes via train/plain/automobile to anywhere in Europe. chevron_right Working, teaching and research at ETH Zurich We value diversity In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. We look forward to receiving your online application with the following documents: Cover letter that contextualizes your scientific background, skills, and interests as well as articulates why you are interested in the group CV Diplomas and course transcripts Contact details of at least two referees Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Further information about Department of Biosystems Science and Engineering (D-BSSE) can be found on our website. Questions regarding the position should be directed to Prof. Platt (rplatt@ethz.ch) (no applications). About ETH Zürich ETH Zurich is one of the world-s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.