Home > Jobs > 2018



Postdoctoral Scholar in Stochastic Modeling of Genetic Circuits open

Postdoctoral Scholar in Stochastic Modeling of Genetic Circuits at the University of Delaware, DE, USA

Prof. Abhyudai Singh's laboratory at the University of Delaware is seeking a postdoctoral scholar (2-3 years) for modeling, analysis, and inference of gene regulatory circuits at the single cell level. In close collaboration with experimental researchers, the Singh lab is studying stochastic dynamics of genetic circuits in the context of diverse biological and medical problems. These problems include but are not limited to cell size homeostasis, cancer drug-resistance, HIV latency, lysis timing of bacteriophages, developmental systems and synthetic biology. The postdoc will have flexibility in choosing the research project, which can be further tailored to the interests of the individual. The ideal candidate will have a PhD in Engineering, Math, Physics or Biology, a strong mathematical foundation in stochastic processes, dynamical systems, control theory, excellent communication skills, and a proven record of independent research.  Past experience in biomodeling, and a basic knowledge of cellular biology is preferred, but not required for this position.

The postdoctoral position provides a competitive annual salary plus benefits and health insurance.  The start date is negotiable and applications will be reviewed on a rolling basis. Highly motivated applicants are encouraged to email a statement of research interests, CV, and contact details for three references to absingh(at)udel.edu. Please see our website for further info: http://udel.edu/~absingh

posted 2018.03.14

Postdoctoral Position in Computational Immuno-Oncology open

Departments of Biomedical Engineering and Oncology

Johns Hopkins University


•Seeking an independent and motivated Postdoctoral Researcher in Dr. Popel's laboratory in the Departments of Biomedical Engineering and Oncology, The Johns Hopkins School of Medicine.

•The successful candidate will join a team that combines computational and experimental researchers using computational systems biology and systems pharmacology to discover mechanisms of immuno-oncology and immunotherapy.

•Specific skills include strong computational modeling of signaling pathways and multiscale modeling from signaling pathways to tumor scales; knowledge of immunology is a plus.

•Applicant must have a doctoral degree with a demonstrated record of innovative scientific accomplishments as evidenced by first-author papers published or accepted in premier journals.

•Qualified candidates must be able to work independently, demonstrate outstanding communication skills, have a strong commitment to science, and work well within a group.

• US citizens, permanent residents or holders of an F1/OPT visa with at least six months of work authorization left.


Johns Hopkins University is an Equal Opportunity Employer with a commitment to diversity. All individuals are encouraged to apply.


How to apply: Email curriculum vitae and names of three references to: Dr. A.S. Popel, Dept. of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD 21205. E-mail apopel @ jhu.edu

posted 2018.02.04

Big Data Science in Berlin - fully-funded PhD positions open

HEIBRiDS - a new Research School in Data Science invites applications of PhD candidates. The Einstein Center for Digital Future involving four Berlin universities in cooperation with six Helmholtz Centers in the capital region offers projects in a collaborative research environment across disciplinary borders involving data science topics in the following main research areas:

·       Machine Learning and Data Mining

·       Modeling

·       Novel Hardware Concepts

·       Imaging

·       Visualization


with applications including but not limited to genomics, structural biology, medicine, remote sensing, seismology, earth - and space sciences. Specific project descriptions can be found at https://heibrids.mdc-berlin.de


Research will be conducted in cooperation between one of the Helmholtz research centers:

·       Max-Delbrück Center for Molecular Medicine (MDC)

·       Alfred-Wegener-Institute Helmholtz-Zentrum für Polar- und Meeresforschung (AWI)

·       Deutsches Elektronen-Synchrotron (DESY)

·       German Aerospace Center (DLR)

·       German Research Centre for Geosciences (GFZ)

·       Helmholtz-Zentrum Berlin (HZB)


and one of the participating universities:

·       Technische Universität Berlin (TU)

·       Charité-Universitätsmedizin Berlin

·       Freie Universität Berlin (FU)

·       Humboldt-Universität zu Berlin (HU)


Come and join our international community in Berlin, Germany. We are looking for graduates holding master degrees with experience in computational research, knowledge in mathematics, statistics, and computer science and the ability for independent work.


We offer
- Cutting-edge research in big data science under close supervision of a team of scientific mentor and co-mentor and a PhD committee

- Integrated training curriculum of scientific and professional skills taught in English
- Financial support for conferences and collaborations

- Institutions that value diversity and promote an inclusive work environment

- Fully-funded positions for 3 years with the option of 1 year extension
- Competitive salaries according to German E13 (TVöD or TV-L dependent on the affiliation of your primary supervisor)



To apply, a master's degree in quantitative sciences (computer science, physics, statistics or mathematics) or related applied subjects (bio- or geoinformatics etc), awarded by July 2018, is required.

Apply by March 3, 2018 via 
Please submit your CV, academic record, contacts of 2 referees, and research interest.

For project and program details visit the webpage at https://heibrids.mdc-berlin.de


Successful candidates will start their PhD between July and September 2018.

posted 2018.02.02

PhD Positions: Computational & Systems Biology, Hong Kong Baptist University open

Supervisor: Dr. Pan-Jun Kim (Assistant Professor), Department of Biology

The new research group led by Dr. Pan-Jun Kim at Hong Kong Baptist University invites applications for PhD positions (research postgraduate students) in the area of computational & systems biology. Hong Kong Baptist University is a public institution funded by the Hong Kong SAR Government, promoting academic excellence and innovation.

Pan-Jun Kim's group is undertaking cutting-edge research with predictive computational modeling and large-scale data analysis, which will lead to breakthroughs in our understanding of collective dynamics of biological systems. Indeed, we live in an exciting era for life sciences. Recent experimental technologies have generated enormous amount of biological data at various scales. Computational methodologies developed in mathematics, physics, computer science, and engineering enable modeling and analyses of complex biological processes. In our research group, the specific areas of interest include global microbial ecosystems inside human body and their medical implications, and various metabolic, regulatory, and signaling networks inside/between cells and their emergent functional outcomes. More information can be found from http://panjunkim.com.

We welcome applicants from every discipline. The candidates should be highly motivated, mathematically talented, cooperative, and responsible. The candidates are expected to have some computer programing experience (e.g., Python, C, or C++), and good communication skills in English. Prior research experience would be a plus.

If interested, please send your cover letter, curriculum vitae (including academic qualifications, awards, research experience, and/or publications), and copies of transcripts to Dr. Pan-Jun Kim at extutor (at) gmail (dot) com.

posted 2018.01.30

Postdoctoral Positions in Quantitative Biological Modeling/Systems Biology open

The new research group led by Dr. Pan-Jun Kim at Hong Kong Baptist University (Department of Biology) invites applications for postdoctoral positions in the area of Quantitative Biological Modeling/Systems Biologyhttp://panjunkim.com.

The research will focus on the computational modeling and analysis of complex microbial communities inside human body ("human microbiome"). Our body is home to a variety of microbial cells, and they significantly affect our health and disease. An integrative investigation of collective dynamics of this microbial ecosystem is very important toward biomedical applications.

The ideal candidates are expected to have experience/interest in the areas of computational biology and mathematical modeling, strong backgrounds in computer simulations with programing languages such as Python and C++, and some familiarity with the Linux environment. Previous experience with nonlinear dynamics and/or machine learning would be a plus.

Screening of applications begins immediately and will continue until the position is filled. The appointment is available from March 2018. To apply, please e-mail curriculum vitae along with a brief statement of your research interests to Dr. Pan-Jun Kim at extutor (at) gmail (dot) com, and arrange to have three letters of recommendation e-mailed to the same address.

posted 2018.01.30

Research Scientist in Computational & Systems Biology open

Research Scientist in Computational & Systems Biology

  • Apply your expertise in Computational biology & Biological systems modelling
  • Provide data modelling support across several research projects
  • Join CSIRO's Synthetic Biology Future Science Platform (SynBio FSP)


The Position

The Synthetic Biology FSP (SynBioFSP) is developing a research portfolio which will be spread across CSIRO and a wide variety of partner organisations (universities, industry, NGOs, other research organisations, etc.), both national and international. The research portfolio is dynamic and will evolve over time on the basis of strategy and performance. Research projects will sit within one or more priority Application Domains (Environment & Biocontrol, Chemicals & Fibres, Organelles & Endosymbionts) and one or more Science Domains (Integrative Biological Modelling, Engineering Novel Biological Components, Assembling Novel Biosystems, Maximising Impact). The SynBio FSP will embed a social and behavioural science agenda to address issues around social licence to operate.

In this position, you will provide systems biology and data modelling support across two research projects, one on the in-vitro resynthesis of the lichen symbiosis and the other on the design of biorthogonal redox metabolic pathways in yeast and E. coli.


Specifically you will:

  • Incorporate novel approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.
  • Analyse and integrate large omics datasets, including genomics, transcriptomics, proteomics and metabolomics.
  • Use omics data for metabolic and regulatory network modelling.
  • Provide bioinformatics support.


Location:      Black Mountain, ACT, Australia

Salary:          AU $95k - AU $103k plus up to 15.4% superannuation

Tenure:         Specified term of 3 years

Reference:    53111


More information:


posted 2018.01.12