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Deadline for applications: 2019-07-01

1 Assistant Professor and 2 Junior Faculty Positions at Department of Mathematics, University of California, Riverside (USA)

The first position will be filled at the Assistant Professor level with the starting date of July 1, 2019:
https://www.mathjobs.org/jobs/jobs/12811

Applications are welcome from those with strong interdisciplinary background in any area of applied mathematics. Preference will be given to applicants in Computational Modeling of Fluids and Stochastic Modeling with Applications.

Two additional positions are open for Joint Postdoctoral Fellowships/ Junior Faculty Positions for Emerging Scholars in Applied Mathematics. While these will also be filled at the level of Assistant Professor, they provide an exciting opportunity for highly-qualified emerging scholars who are preparing to transition into the professoriate, offering an initial year of postdoctoral fellowship research support and training anywhere in the United States in 2019-2020 prior to their move to UC Riverside on July 1, 2020 as a tenure-track faculty member.
https://www.mathjobs.org/jobs/jobs/12814

Applications are welcome from those with a strong interdisciplinary background in any area of applied mathematics. Preference will be given to applicants in Computational Modeling of Fluids, Stochastic Modeling with Applications, Optimization, Multi-scale Modeling in Biology and Computational Methods for Nonlinear PDEs.

Please contact: Mark Alber
https://mathdept.ucr.edu/


Deadline for applications: 2019-05-05

SENIOR RESEARCHER: COMPUTATIONAL BIOLOGY at Centre for Computational Biology (CBIO), Paris, F

The Centre for Computational Biology is part of Mines ParisTech, one of the major engineering schools for applied mathematics in France. Our research is dedicated to the development of methods and tools in the field of Machine Learning, Statistics and Computer Vision in order to analyze massive data generated in life sciences and medicine. We work on a broad range of applications, from questions in fundamental life science to precision medicine. The Centre for Computational Biology has a partnership with INSERM, the French national health institute, and the Institut Curie, a major hospital and research center dedicated to cancer. This partnership provides access to the infrastructure and facilities of the Institut Curie and facilitates collaborative projects with other groups at the Institut Curie , as well as data sharing. Our laboratory is located in the heart of Paris and we therefore benefit from an exceptional scientific and cultural environment.

Position summary:
We are seeking a senior scientist with several years of experience as an independent researcher and with an excellent track record in the fields of Machine Learning and Statistics applied to biology and/or medicine. In particular, we would like to consolidate our activity in the fields of genomics and analysis of next-generation sequencing data with applications both in fundamental biology and medicine. Any previous experience in these fields would be an advantage. The successful candidate is expected to work in a team of 4 permanent researchers on exciting questions in computational biology, to develop his/her own line of research for which (s)he will secure funding, to supervise PhD students and Postdocs and to contribute to the scientific animation in his field of research at the CBIO and the Institut Curie.

Application file:
The application should consist of the following documents:
- a cover letter
- a detailed CV
- a research project (5 pages limit). Special attention will be given to the adequacy with current research activities at the CBIO
- a list of publications and of oral communications at scientific conferences
- three recommendation letters to be sent directly to the CBIO. Alternatively, the candidate can provide contact details for three referees to be contacted directly for recommendation
- Copies of official transcripts for all degrees at all institutions attended.

Please send the documents before 05.05.2019, to Thomas Walter, by email (Thomas.walter@mines-paristech.fr), or by mail (CBIO, Mines ParisTech, 60 Boulevard Saint Michel, 75006 Paris).

Please contact: Thomas Walter


Deadline for applications: 2019-04-30

Assistant Teaching Professor Position at UCLA Division of Life Sciences, Los Angeles, USA

UCLA Division of Life Sciences - Lecturer with Potential for Security of Employment for the Quantitative Biology Curriculum

The Division of Life Sciences at the University of California, Los Angeles is seeking applicants for a full-time Lecturer with Potential for Security of Employment (LPSOE) in one of the Life Sciences

Departments:
Ecology and Evolutionary Biology, Integrative Biology and Physiology, Microbiology, Immunology and Molecular Genetics, Molecular, Cell and Developmental Biology, or Psychology.

This position has a similar career progression to someone who enters as a tenure-track assistant professor. Faculty appointed as LPSOE are Academic Senate members whose expertise and responsibilities center on undergraduate education and scholarly analysis and improvement of teaching methods.

A successful candidate will be expected to provide leadership in innovative and inclusive teaching in the Life Science Quantitative Biology Curriculum. The appointee will be assigned not more than a total of four lower division undergraduate courses per three-quarter academic year. Their primary teaching responsibility will include our new introductory mathematics series for first-year life science majors, Mathematics for Life Scientists, based on the text Modeling Life (https://www.springer.com/us/book/9783319597300).
These courses teach calculus and linear algebra with a focus on developing and analyzing models of nonlinear dynamical systems in ecology, biology, physiology, epidemiology and other subjects in the Life Sciences.

The LPSOE will work with other faculty and the campus Center for Education Innovation and Learning in the Sciences to develop, implement, assess, and publish findings for new pedagogical initiatives. The appointee will also be expected to demonstrate continued professional growth that enhances their value to the University.
Contributions and achievements supporting professional growth include:
(i) acquisition of intramural and/or extramural funds to support educational initiatives,
(ii) curriculum innovation to promote the retention of diverse students in Life Sciences,
(iii) academic leadership within the University beyond normal service obligations, and
(iv) involvement in professional organizations.

Qualified applicants must have a Ph.D. in a Mathematical discipline (e.g., Mathematics, Biomathematics) or a Ph.D. in a Life Science discipline, with background in mathematical modeling.
Candidates must have experience in teaching undergraduates and the ability to teach calculus and linear algebra in UCLA's Quantitative Biology Curriculum.

Salary will be commensurate with education and experience and based on University of California pay scales.

To Apply:
Candidates should submit a cover letter expressing their interest in the position, a curriculum vitae, a two-page teaching statement summarizing experience in undergraduate teaching at the university level that includes a description of pedagogical approaches used, a statement of previous research with an emphasis in Quantitative Biology, and a statement summarizing past or potential contributions to diversity, as well as the names and contact information for three professional references online to:
https://recruit.apo.ucla.edu/JPF04444.

Review of applications will begin on Apr 30 and continue until the position is filled.

If available, candidates also should submit links to documentation of teaching excellence such as instructional or assessment materials developed by the candidate, summaries of student ratings of instruction, reports based on peer classroom observations, instructional video segments from previous courses taught, and any other materials candidates feel would assist the search committee with an evaluation of their application.

Questions regarding the position should be sent to the chair of the search committee, Beth Lazazzera (bethl@microbio.ucla.edu).

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

Please contact: Beth Lazazzera
https://recruit.apo.ucla.edu/apply


Deadline for applications: 2019-04-14

Research Position at Mathematical Institute of Leiden University, NL

The Faculty of Science and the Mathematical Institute of Leiden University invite applications for a four-year

PhD Student on Mathematical Modeling of Cell-ECM Interactions During Angiogenesis (1.0 FTE)

Project description
The opening is for a research position, within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science.

The outgrowth of new blood vessels from pre-existing vessels, called angiogenesis, is a crucial step in wound healing and tumor growth. Cell-based simulation models help to analyze how cells assemble into blood vessels and other tissue structures. Recently our group has developed novel techniques for modeling one of the key controlling factors of angiogenesis, the extracellular matrix (ECM). The ECM is a diverse class of jelly or hard materials providing structural support to the tissue and that acts as a medium for cell-cell communication.

The work will be embedded in the Multiscale Mathematical Biology team at the Mathematical Institute and the Institute of Biology Leiden. The team carries out mathematical biology research in close collaboration with experimental researchers. The team focuses on modelling pattern formation and morphogenesis in multicellular organisms and bacterial ecosystems.

Key responsibilities
The project will be part of an NWO-funded Vici-project that will unravel how the extracellular matrix (ECM) coordinates the interactions between endothelial cells and other cells contributing to angiogenesis, and how modifications of the ECM, as they can occur for example near tumors, can modify the structure of new blood vessel networks. In this project you will work closely together with experimental researchers, that will test the mathematical models in the wetlab by imaging of cell cultures and zebrafish experiments. Your task will be to develop novel mathematical models, which will be informed by literature data and the insights coming from the wetlab. Your models will be experimentally validated by your direct colleagues in the wetlab, based on which you will correct and update your models. Based on cycles of iterative model refinement and experimental validation, you will unravel aspects of angiogenic sprouting, and prepare your insights for publication in the biological, biophysical, and/or biomathematical literature.

The mathematical models will be based on hybrid cellular Potts model, in which stochastic models of cell motility interact with continuum and discrete models of the ECM. You will contribute to the development of novel and efficient numerical methods for simulating the biomechanics of the ECM, that will interface naturally with pre-existing, stochastic models of endothelial cell behavior. You will integrate the novel methodology into our lab's modeling framework Tissue Simulation Toolkit, and prepare the new developments for public release alongside our scientific publications.

Selection criteria
Master's degree in applied mathematics, computational/theoretical physics, theoretical biology, computer science or a related discipline
Excellent written and oral proficiency in English
Ability to work independently in a multidisciplinary environment
Fluent interdisciplinary communication skills with scientists in cell biology and mathematics
Keen interest in cell and developmental biology
Experience in (numerical) mathematical modeling (e.g., Cellular Potts modeling, particle-based simulations, PDEs, FBA)
Excellent programming skills in C++.

For more information and application, see: https://www.universiteitleiden.nl/en/vacancies/2019/q1/19-139-phd-student.

Please contact: Roeland Merks
https://biomodel.project.cwi.nl/


Deadline for applications: 2019-04-19

Full-Time Fixed Term Research Fellow/Associate in Computational Biology at The University of Edinburgh, Centre for Regenerative Medicine, UK

Do you want to conduct research in mathematical and computational biology, embedded in a world-leading centre for regenerative medicine?

We are seeking a postdoctoral research fellow/associate with computational and analytical skills and experience of mathematical modelling of biological systems. Applicants should have a PhD in a relevant subject or equivalent research experience.

You will develop a computational framework for statistical analysis and mathematical modelling of immune cell behaviour in wound response. We want to create the analysis software as an open-source resource, and use this to analyse new experimental data. We envision that the resulting toolset will be extensible to collaboration with multiple experimental systems and enable use by experimental researchers, and produce material for peer-reviewed publications.

Informal enquiries can be directed to Dr Linus Schumacher, Linus.Schumacher@ed.ac.uk.

Edinburgh is a vibrant city consistently ranked amongst the top places to live in the UK.

You can find information about the University's position on Brexit here: www.ed.ac.uk/news/eu

The post is funded for up to 18 months, starting May 2019 (or as soon as possible thereafter) with a possibility to extend. Interviews will take place in late April/early May (exact date tbc).

This post is available on a fixed term basis, with a working pattern of 35 hours per week for 18 months.

Reference: 047339

Closing Date: 19 April 2019

Please contact: Linus Schumacher
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=047339


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