Postdoc Position in Predicting Evolution | Amsterdam, North Holland, Netherlands | University of Amsterdam

Position:	Postdoc Position in Predicting Evolution
Institution:	University of Amsterdam
Location:	Amsterdam, North Holland, Netherlands
Duties:	You will conduct independent research on the predictability of genomic evolution in the context of animal-microbe interactions. The project is situated at the interface of microbiology and evolutionary genomics and is subdivided in two subprojects
Requirements:	a PhD in evolutionary biology, systems biology or related field; a strong background in evolutionary genetics; experience in comparative genomics

Text:	We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Accept All Cookies Press Tab to Move to Skip to Content Link Skip to main content View all jobs Working at the UvA Working at ACTA Open Application Search by Keyword Clear View all jobs Working at the UvA Working at ACTA Open Application Language English (United Kingdom) Nederlands (Nederland) View profile Search by Keyword Show More Options Loading... Educational level All Function type All Faculty/Services All Clear × Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Postdoc Position in Predicting Evolution Faculty/Services: Faculty of Science Educational level: PhD Function type: Academic Staff Closing date: 23 June 2023 Vacancy number: 11641 For a joint project between the Institute for Biodiversity and Ecosystem Dynamics and the Swammerdam Institute of Lifesciences at the University of Amsterdam, we offer a 20-month Postdoc position in evolutionary genomics. The position is funded by a cross-disciplinary NWA small project grant and is part of the National Science Agenda route ‘The origin of life - on earth and in the universe ’. Within this cross-disciplinary research program, the prospective postdoc will focus on the predictability of genomic evolution in the context of animal-microbe interactions. The project will be supervised by dr Thomas Blankers (Evolutionary and Population Biology at IBED) and dr Meike T. Wortel (Microbiology Cluster at SILS), and is part of the research priority area Systems biology . The project is a collaboration with Astrid T. Groot from IBED, Stanley Brul from SILS and Sander G. van Doorn from the Groningen Institute for Evolutionary Life Sciences. The postdoc will be located in Amsterdam and become part of the dynamic community at IBED and SILS. What are you going to do? You will conduct independent research on the predictability of genomic evolution in the context of animal-microbe interactions. The project is situated at the interface of microbiology and evolutionary genomics and is subdivided in two subprojects: Subproject 1: The first subproject aims to predict genetic evolution based on experimental data on standing genetic variation and fitness variation. The project leverages data on recently experimentally evolved populations of the model organism Caenorhabditis elegans. In this experiment, C. elegans was exposed to a novel dietary bacterium for 20 generations. You will conduct fitness assays and combine these results with existing genomic data using computational approaches to quantify how well we can predict genetic evolution. Subproject 2: The second subproject aims to assess the repeatability and predictability of microbial evolution in response to predation by C. elegans. You will combine fitness assays and genomic analysis of Escherichia coli strains that have evolved in the presence and absence of C. elegans predation. Together, these two projects will quantify the predictability of evolution in animal-microbe interactions. In doing so, the projects explore fundamental limits to the predictability of evolution, which is central to our understanding of evolutionary theory. However, you will also develop broadly applicable computational tools to forecast evolutionary change. Evolutionary forecasting has diverse applications, such as in healthcare and in developing sustainable agricultural practices. You will be working independently and interact with other members of the labs, research groups, and institutes through regular meetings, seminars, and social events. Dissemination of research findings to the general public is a key objective of National Science Agenda funded projects. To explore novel media for societal dissemination, the project also includes funding for the development of virtual reality outreach material. What do you have to offer? You are a highly motivated, independent postdoctoral researcher with a strong interest in animal-microbe interactions and animal and microbe evolution. Your experience and profile: a PhD in evolutionary biology, systems biology or related field a strong background in evolutionary genetics experience in comparative genomics committed researcher, demonstrated by publications in international, peer-reviewed academic journals ability to work independently as well as in a team excellent English skills Our offer We offer a temporary employment contract for 38 hours per week for a period of 20 months, preferably starting in September 2023. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 2,960 to € 4,670 (scale 10). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Researcher 4 is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable. Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with 100 different courses; 7 weeks birth leave (partner leave) with 100% salary; partly paid parental leave; the possibility to set up a workplace at home; a pension at ABP for which UvA pays two third part of the contribution; the possibility to follow courses to learn Dutch; Are you curious to read more about our extensive package of secondary employment benefits, take a look here . About us The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity. The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. The Institute for Biodiversity and Ecosystem Dynamics is one of eight research institutes of the Faculty of Science at the University of Amsterdam. The research at IBED aims to unravel how ecosystems function in all their complexity, and how they change due to natural processes and human activities. At its core lies an integrated systems approach to study biodiversity, ecosystems and the environment. IBED adopts this systems approach to ecosystems, addressing abiotic and biotic factors, and the interplay between those. The IBED vision includes research encompassing experimental and theoretical approaches at a wide variety of temporal and spatial scales, i.e. from molecules and microorganisms to patterns and processes occurring at the global scale. The University of Amsterdam has excellent high performance computing facilities . Furthermore, IBED has a dedicated computational support team with specialized knowledge of bioinformatics, (geo)database management and scientific programming. IBED also works with non-academic partners to deliver transdisciplinary science for society. The Swammerdam Institute for Life Sciences (SILS) is one of the largest institutes of the Faculty of Science of the University of Amsterdam. The institute comprises biological disciplines including molecular and cell biology, microbiology, plant science, physiology and neurobiology, supported by modern enabling technologies for the life sciences. We have four underpinning technologies that focus on mass spectrometry, genomics and transcriptomics, advanced data analysis and advanced microscopy. Knowledge from adjacent fields of science, in particular biochemistry, biophysics, medicine, bioinformatics, statistics and information technology make SILS a multidisciplinary research institute focussing on the broad research field of life sciences. SILS’ research objective is to understand the functioning of living organisms, from the most basic aspects up to complex physiological functions. Biological processes are studied at the level of molecules, cells, cellular networks and organisms, and the interactions between and in all those levels. Within the institute, this leads to exchange of information and extension of research over the borders of different disciplines. Part of SILS research activities happen in close collaboration with industry. Want to know more about our organisation? Read more about working at the University of Amsterdam. Any questions? Do you have any questions or do you require additional information? Please contact: Thomas Blankers, Assistant Professor of Evolutionary Ecology: t.blankers@uva.nl . For more information see webpages for lab , and research group . Meike T. Wortel, Assistant Professor of Evolutionary Systems Biology: m.t.wortel@uva.nl . For more information see Dr Wortel’s personal webpage and UvA systems biology . Job application If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 23 June 2023. Applications should include the following information (all files besides your cv should be submitted in one single pdf file): a detailed CV including the months (not just years) when referring to your education and work experience; a letter of motivation; a list of publications; the names and email addresses of two references who can provide letters of recommendation. Only complete applications received within the response period via the link below will be considered. The interviews will be held in July. The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity. No agencies please. LI-AW-FNWI-P Apply now » Find similar jobs: Cookies Privacy Disclaimer Follow UvA on social media: © Copyright UvA 2020 × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimising video performance or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Show More Details Functional Cookies Provider Description Enabled YouTube YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like and comment on videos. Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos. Cookie Policy Privacy Policy Terms and Conditions Vimeo Vimeo is a video hosting, sharing and services platform focused on the delivery of video. Opting out of Vimeo cookies will disable your ability to watch or interact with Vimeo videos. Cookie Policy Privacy Policy Terms and Conditions Advertising Cookies These cookies serve ads that are relevant to your interests. You may freely choose to accept or decline these cookies at any time. Note that certain functionality that these third parties make available may be impacted if you do not accept these cookies. Show More Details Advertising Cookies Provider Description Enabled Google Analytics Google Analytics is a web analytics service offered by Google that tracks and reports website traffic. Cookie Information Privacy Policy Terms and Conditions Google Tag Manager Google Tag Manager is a tag management system for conversion tracking, site analytics, remarketing and more. Privacy Policy Terms and Conditions AddThis AddThis is a widget that allows you to share jobs across the web to various other platforms. Opting out of AddThis cookies will remove your ability to view and use this widget. Data Subject Rights Privacy Policy Terms and Conditions LinkedIn LinkedIn is an employment-oriented social networking service. We use the Apply with LinkedIn feature to allow you to apply for jobs using your LinkedIn profile. Opting out of LinkedIn cookies will disable your ability to use Apply with LinkedIn. Cookie Policy Cookie Table Privacy Policy Terms and Conditions Confirm My Choices Accept All Cookies