13 Postdoctoral Fellowship at University of Zürich, Switzerland
Spread the love
Are you a PhD graduate eager to take the next leap in your academic journey? Look no further! University of Zürich, Switzerland invites online applications for prestigious Postdoctoral Fellowships across a wide range of research fields. Don’t miss out on this opportunity to propel your career forward.
Candidates interested in Postdoctoral Fellowships can check the details and may apply as soon as possible.
(01) Postdoctoral Fellowship Position
Postdoc summary/title:–Postdoctoral Researcher – image analysis/bioinformatics – Spatio-temporal genome and oncogene organization in cancer 80 – 100 %
The Surdez lab at the University of Zurich is seeking a highly motivated Postdoctoral Researcher with expertise in image analysis and bioinformatics. This position offers an exciting opportunity to visualize and decipher the spatio-temporal organization of the genome and oncogenes in cancer.
Join our dynamic team, which focuses on aggressive pediatric bone cancers, particularly on Ewing sarcoma. In a recent study, we demonstrated how the STAG2 mutation, prevalent in this cancer, alters the formation of chromatin loops, resulting in increased invasive properties of mutated cells (Surdez et al. 2021, Cancer Cell). Currently, we are leveraging super-resolution microscopy and innovative molecular technologies to decipher and perturb these mechanisms in live cancer cell models.
As a Postdoctoral Researcher, you will be responsible for analyzing confocal and super-resolution microscopy data related to spatio-temporal genome and oncogene regulation. The role also involves comparing Hi-ChIP data with imaging data and developing computational tools to analyze and visualize chromatin conformation and oncogene regulation. Working closely with biologists, you will utilize cutting-edge computational approaches to model and decipher these mechanisms at the real-time scale.
Postdoc summary/title:– Postdoctoral researcher in Organofluorine Chemistry and Catalysis 40 %
We are looking for an enthusiastic, dedicated and creative individual. The successful candidate will be driven by curiosity and be a strong and proactive team player. You must have a doctoral degree in organic or inorganic chemistry. Basic communication skills in English are required.
Postdoc summary/title:– Postdoctoral research position, immunogenic cell death in acute leukemia 100 %
Located in the Campus Lengg of the University of Zurich, and soon in the newly built research tower of the Kinderspital, we apply and develop state-of-the-art technologies including single cell analytics, CRISPR-based genome editing, machine learning algorithms, high content data analysis and ex-vivo / in vivo PDX models. We are embedded in a strong precision oncology network at UZH with strong ties with the ETH Zurich and are centrally involved in international clinical trials for childhood leukemia providing a relevant context to our research program.The employment is limited to 2 years with the option of extension.
Postdoc summary/title:– Postdoc position in AI for Healthcare at the Dynamic and Distributed Information Systems Group of the University of Zurich 100 %
The position is available for candidates interested in these topics, who have a Ph.D. in Computer Science, AI, NLP, or a related discipline (or will be receiving it shortly) as well as a passion for discovering new things. Experience in the areas of AI, large language models, machine learning, semantic web technologies, and/or behavioral analyses such as running experiments with human subjects or surveys are considered a plus but are not strictly necessary. The position also includes some teaching support duties. Proficiency in German is not mandatory but recommended due to the topic of the position.
Postdoc summary/title:– Postdoc in neuroscience of reward learning 90 %
The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on the neuro-computational basis of human learning and decision making using cutting-edge multimodal neuroimaging techniques. For example, the successful candidate will work on a project aimed to determine if reward learning and corresponding striatal responses incorporate causal knowledge during Pavlovian conditioning. Using theoretically grounded and empirically verified reward learning predictions – blocking, conditioned inhibition, and overexpectation – we will test how Pavlovian conditioning operates over stimuli that are known to be either causal generators or correlated predicters of reward outcomes. Knowledge of the causal mechanisms should, in principle, determine how a reward learning agent summates predictions over two or more conditioned stimuli and whether a specific conditioned inhibitor will block a given causal state. We will test these hypotheses using modified versions of the standard conditioned inhibition and overexpectation paradigms together with functional neuroimaging. The results of these studies will provide important new insights into the fundamental nature of reward learning. They will reveal if Pavlovian conditioning mechanisms, which are generally thought to be model-free, incorporate model-based knowledge of cause-and-effect relationships in the environment or if instead they remain agnostic about causality and operate via predictiveness alone.
Postdoc summary/title:– Postdoc in physiology of learning and decision making 90 %
Candidates should hold (or expect) a good PhD degree in a relevant discipline (e.g., psychology, physiology, neuroscience, economics, cognitive science, biology) and have published work using psychophysics and/or computational modeling of behavior. Expertise in using Python, R, or similar statistical computing languages is required. Enthusiasm for scientific work and good scientific practice is essential. Candidates should speak and write English proficiently. Applications are welcome from overseas candidates as well as Swiss and EU nationals.
Postdoc summary/title:– Post-doctoral researcher in the field of Computational Social Science / Data Donation 80%
The Institute of Communication Science and Media Research at the University of Zurich (IKMZ) is looking to fill a postdoctoral position at the chair of Prof. Dr. Thomas Friemel as of January 1, 2025 or by arrangement. With around 80 employees, the IKMZ is one of the largest communication science institutes in Europe and provides an excellent infrastructure for research and teaching, an inspiring academic environment and excellent employment conditions. The University of Zurich also offers numerous opportunities for continuing education and a wide range of interdisciplinary cooperation opportunities.
The Department of Media Use and Media Effects ( www.mediennutzung.ch ) focuses on the use and effects of digital media in research and teaching. For this purpose, an interdisciplinary lab on the topic of data donation was set up in recent years ( datadonation.uzh.ch ) and a technological infrastructure for carrying out data donation projects was developed ( github.com/uzh/ddm ). To further develop the Data Donation Module and to analyze donated social media content, we are looking for a person who has the appropriate technical skills and is also interested in working on empirical data donation projects such as the Digital Meal project ( digital-meal.ch ).
Postdoc summary/title:– Postdoctoral Researcher Chair of Modern and Contemporary Art 65%
An above-average doctorate in the field of 20th or 21st century art is expected, as well as your own research projects (habilitation project) in the field of global art history with particular emphasis on post-colonial cultural theories and the history of global interdependence from the 1950s to the 1970s. Foreign language skills in English, French and another language.
Postdoc summary/title:– Postdoctoral Researcher: Remote Sensing of Ground and Surface Water Dynamics 80 – 100 %
We are looking for a highly motivated, creative, solution-focused and independent scientist with a passion for remote sensing technology and interest to address environmental sciences problems with a high societal impact. The successful candidate will develop workflows to assess the water balance and surface/ground water dynamics in the Mekong and the Red River delta, Vietnam, with active and passive satellite remote sensing data. The collection of diverse satellite data and in situ measurements from local partners or during field campaigns is one of the tasks. Strong exchange and knowledge transfer with project partners to connect remote sensing results with geo-hydrological modelling and scenario calculations is expected. The documentation and outreach of results in peer-reviewed scientific journals and at conferences is integral part of the work. The successful candidate will gain experiences in teaching and supervision of BSc, MSc and PhD candidates.
The successful candidate should have the following qualifications:
PhD in Economics, Management, Marketing, Information Systems, or a related discipline. Candidates who are close to PhD completion will be considered.
Strong interest in empirical research in general, ideally related to the economics of innovation, digitization or entrepreneurship.
Very strong background in econometrics and quantitative research methods.
Demonstrated ability to carry out independent empirical research and the potential to publish in high-impact journals.
Ability to work both independently and in a team, with good organizational and communication skills. Strong command of English, written and spoken. German is not required but an advantage.
You have a university degree with a master or doctorate in biostatistics or statistics and already have experi-ence in applying statistical methods in clinical and biomedical research. Your independent methodological profile in the field of biostatistics is documented by relevant publications in international journals. You have an excellent command of English and good German language skills.
You have a strong interest in modern education in the field of biostatistics and experience in reproducible research and open science. You are proficient in the programming language R and use modern software tools such as git, RMarkdown or Quarto in your daily work.
Postdoc summary/title:– Postdoctoral Researcher Data Center 60 – 80%
As a postdoctoral researcher at the Data Centre of the URPP H2R, you will be jointly responsible for planning and conducting a (panel) longitudinal study on the topic of the research focus. Your core tasks also include quantitative-empirical research in the sociological subproject and the publication of the results. The main focus of this post-doc position is on taking into account a religious studies/religious sociology dimension in the evaluation of the available data on the use of reproductive technologies. In addition, you will be involved in organizing workshops on interdisciplinary research in the URPP or on citizen science and at international conferences.
Postdoc summary/title:– Postdoc Position 60 – 100 %
The project aims to analyse the known Homo erectus skeletons using advanced virtual imaging techniques and modern reference samples to explore aspects such as evolutionary changes in body proportions and growth trajectories, skeletal development, pathology, and biomechanical adaptations in response to bipedalism. Successful candidates will have the opportunity to collect data abroad and present their findings at international conferences, as well as to collaborate in other projects of the group. In addition, they will assist in teaching as well as in training and mentoring of students.
The University of Zürich (UZH, German: Universität Zürich) is a public research university located in the city of Zürich, Switzerland. It is the largest university in Switzerland, with its 28,000 enrolled students. It was founded in 1833 from the existing colleges of theology, law, medicine which go back to 1525, and a new faculty of philosophy.
Currently, the university has seven faculties: Philosophy, Human Medicine, Economic Sciences, Law, Mathematics and Natural Sciences, Theology and Veterinary Medicine. The university offers the widest range of subjects and courses of any Swiss higher education institution.
Disclaimer: We try to ensure that the information we post on PhdNest.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.