Job openings

    • 16 Sep 2019
    • 31 Dec 2019

    2 Postdoctoral Fellowships in Nonlinear Dynamics in Cell Biology (Szeged, Hungary)

    Applications are welcome to 2 postdoctoral research fellowships in the project Nonlinear Dynamical Systems in the Mathematical Models of Cell Biology, funded by Hungary’s flagship research grant, the ‘Frontline’ Research Excellence Program.
    The research covers a range of topics including collective cell dynamics, pattern formation and cancer modelling, with special attention to the role of time delays in cell biology.

    The research fellows will join the group of Gergely Röst at the University of Szeged, Hungary ( The University is among the most prominent higher education institutions in Central Europe, located in the downtown area of Szeged (often considered as one of the best university towns in Europe).

    The fellowships are offered initially for one year, with the possibility of extension up to three years. There is some flexibility in the starting date and the duration of the fellowships. Letters of interest are to be sent to, accompanied with a CV, list of publications and contact info of two reference persons. Reviews of applications will continue until the positions are filled.

    • 17 Sep 2019
    • 31 Dec 2019

    Faculty Position in Systems Biology, Virginia Tech

    The Department of Biological Sciences ( and the Division of Systems Biology at Virginia Tech ( are seeking to hire a tenure track faculty member with expertise in the mathematical modeling of cellular processes, broadly defined. We are interested in candidates with either an entirely mathematical modeling research program or a combined modeling/experimental program in the areas of cell, developmental, molecular, or synthetic biology. Applicants must be dedicated to interdisciplinary education at the undergraduate and graduate level, and should be sensitive to issues of diversity in the university community. Appointment at the Assistant Professor level is anticipated, although more senior applicants may also be considered.

    The Department of Biological Sciences at our Blacksburg, VA, campus will serve as the tenure home for this position and provide office and lab space, as well as administrative support. The Division of Systems Biology is part of the College of Science’s Academy of Integrated Science, which works with academic departments to develop and support new directions in scientific research and education. The Division offers an undergraduate degree in systems biology, and its faculty participate in departmental graduate programs as well as the university’s Ph.D. programs in Genetics, Bioinformatics & Computational Biology and Molecular and Cellular Biology. The responsibilities of a successful applicant will be to maintain a research program that is well-funded and visible (e.g., by presenting seminars at other institutions and traveling to national and international conferences), to teach undergraduate systems biology courses and graduate level biological sciences courses, to mentor graduate and undergraduate research projects in systems biology, to continue developing their professional capabilities and scholarly activities, and to participate in department, academy, college, and university governance, as well as professional service.

    Job requirements: Applicants must have demonstrable research experience in the mathematical modeling of molecular or cellular processes, including a Ph.D. (required at the time of appointment) in a relevant field of science (such as biology, biophysics, biochemistry, bioengineering, applied mathematics, physics), as well as postdoctoral experience. Experience in teaching across disciplinary boundaries will also be of particular interest.

    Applications must be submitted online at (Job # 511050) and should include (1) a cover letter, (2) curriculum vitae, (3) summary of research experience and future plans (max. three pages), (4) statement of teaching experience and philosophy (max. two pages), (5) a description (one page) of any previous activities aimed at expanding the diversity of the scientific community and of the applicant’s plans to build an inclusive and culturally diverse educational environment at Virginia Tech ( and Applicants should also provide contact information for three references. Review of applications will begin on October 25, 2019 and continue until the position is filled. Later in the hiring process, the successful applicant must provide an official Ph.D. transcript and pass a criminal background check.

    Virginia Tech is an equal opportunity and affirmative action employer. Women, minorities, individuals with disabilities, and protected veterans are strongly encouraged to apply. Anyone having questions concerning discrimination or accessibility should contact the Office for Equity and Accessibility at (540) 231-2010. Anyone desiring accommodation should notify Ms. Dreama Price, Department of Biological Sciences, (540) 231-5712, or call TTY 1-800-828-1120. Requests for further information should be directed to Professor John Tyson ( or Professor Daniela Cimini (

    • 3 Oct 2019
    • 31 Jan 2020

    UKRI Centre for Doctoral Training in Biomedical AI – funded places available for 2020 entry

    The new UKRI CDT in Biomedical AI at the University of Edinburgh is looking to recruit 12 students to start in September 2020. Students will be fully funded for 4 years (stipend, fees and research support budget).

    CDT website:

    Building on a tradition of world-leading research and innovation at Edinburgh, our Centre will train a new generation of interdisciplinary scientists who will shape the development of AI within biomedical research over the next decades. Our students will be equipped with all the technical skills to realise biomedical breakthroughs through AI while anticipating and addressing the societal issues connected with their research.

    The CDT programme follows 1+3 format. In Year 1 you will study towards a Master by Research, undertaking a number of taught courses and taster research projects to broaden and refine your skills and explore different research areas. In Year 2-4 you will propose and pursue an interdisciplinary PhD project under the joint supervision of an AI expert and an application domain expert.

    Programme benefits

    • Fully funded 4-year studentship, covering tuition fees, stipend and travel/research support.
    • Extensive choice of projects at the intersection of AI, biomedicine and social sciences, under guidance of world-leading researchers and clinical experts.
    • Interdisciplinary training programme comprising a bespoke bootcamp, taught courses, workshops, taster projects and other activities.
    • Opportunities for joint projects, research visits, internships and other collaboration with our extensive network of research and industry partners worldwide.
    • Tailored training in public engagement, entrepreneurship awareness, responsible innovation and leadership skills.
    • Wide variety of CDT events throughout the year, including seminar series, masterclasses, summer school, conferences, guest lectures and industry days.
    • State-of-the-art facilities and vibrant world-class research community at the University of Edinburgh.

    Entry requirements

    A UK 2.1 honours degree, or its international equivalent, in computer science, mathematics, physics, engineering or a related discipline.

    Applicants from a biomedical or social sciences background with relevant technical experience are also welcome.


    CDT studentships fund 4 years of study, covering tuition fees, stipend and travel/research support.


    Deadline for international applicants: 29 November 2019

    Deadlines for UK/EU applicants: 29 November 2019; 31 January 2020

    More information and how to apply:

    Follow us on Twitter: @BioMedAI_CDT


    The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
    • 17 Oct 2019
    • 31 Dec 2019

    2 Fully-funded PhD studentships in Theoretical Evolution and Ecology at the University of Lausanne

    The Mullon lab in the Department of Ecology and Evolution at the University of Lausanne, Switzerland, is seeking two PhD students to develop new theory in evolutionary genetics and evolutionary ecology using mathematics and/or computational methods. Projects are flexible and will relate to understanding the genetic and ecological bases of variation in quantitative traits, with specific interest in social traits, such as aggression, cooperation, resource utilization or mating behavior. Support for the positions comes from a recent SNSF Eccellenza award (PCEFP3_181243).

    Job information

    Expected start date: 01.03.2020 or to be agreed

    Contract length: The initial contract is for one year and is extendable to a total of 4 years.

    Activity rate: 80-100%

    Salary: 45-50’000 CHF/year

    Workplace: Department of Ecology and Evolution, University of Lausanne, Dorigny, Switzerland

    Your qualifications

    Candidates need to have a Master's degree in a relevant area before the start date of their position. Successful candidates will have experience in mathematical or computational modeling, and a keen interest in ecology and evolution. A high level of written and spoken English proficiency is required.

    What the position offers you

    You will develop your research project while working in a world competitive, interdisciplinary and highly collaborative environment. The PhD program in the University of Lausanne provides opportunities for professional training and acquisition of highly transferable skills. The positions are fully funded. Salary and benefits are internationally highly competitive. Additional funding for consumables, computing, and to attend international conferences is available.

    Your application

    Please, send your full application in PDF by email to Charles Mullon ( by the end of October 2019 (contact us if you cannot meet this deadline). 

    Your application should include:

    * Cover letter, including research interests

    * Curriculum vitae, including the names and contact details of 2-3 references

    * Master's thesis summary (max. one page)

    Lab visits and interviews will take place in December 2019 in Lausanne.

    For more information on the department of Ecology and Evolution, please consult

    For more information on the University of Lausanne, please consult

    For additional information regarding the positions, please contact Charles Mullon (

    Charles Mullon

    Assistant Professor

    Department of Ecology and Evolution

    University of Lausanne

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