Postdoctoral Job Postings

UCH Postdoc 4

Postdoctoral Fellow Positions

We are seeking young scientists to join our efforts in developing new super-resolution imaging technologies for studying cancer signaling. The positions are open to applicants with a PhD (or equivalent) in any (biological or non-biological) scientific disciplines, but researchers with extensive experiences in cell signaling or optical imaging are preferred. The research team is jointly led by Prof. Ji Yu and Prof. Bruce Mayer. Please send any inquiries directly to:
jyu@uchc.edu.

The Laubenbacher research group at the Center for Quantitative Medicine at UConn Health has a postdoctoral position available in a neuroscience research project, as part of a collaboration with the Vera-Licona research group at the Center for Quantitative Medicine and the Olin Center. The project focuses on the construction and analysis of predictive models of functional brain networks and the analysis of clinical and behavioral subject data.

Qualifications. Ph.D. in mathematics, with experience in modeling biological systems using systems of differential equations, parameter estimation, analysis of chaos in dynamical systems, and control theory.

Start date – August 15, 2017 or later. Please send your current CV to kblack@uchc.edu

UConn Health is an affirmative action employer in addition to an EEO and M/F/V/PwD employer.

A postdoctoral position is available in a NIH funded laboratory with interest in elucidating
pathogenic mechanisms of rare bone disorders by multiple molecular and functional analyses in
mouse models as well as patient‐specific induced pluripotent stem cells (iPSCs).

Candidates must have PhD, MD/PhD, or MD and must be highly motivated.

The successful applicant will have strong background in BONE RESEARCH with technical
expertise in molecular biology, cell biology, stem cell biology or signal transduction.

Our newly renovated laboratory is embedded in the Center for Regenerative Medicine and
Skeletal Development at University of Connecticut Health within a vibrant research
environment. We study molecular mechanisms of disease‐related mutated genes with a current
focus on osteoclast biology. We further test findings from mouse models in patient‐specific iPS
cell culture systems.

Candidates must be innovative, enthusiastic and have a solid background in at least one of the
identified areas (bone biology, molecular biology, cell biology, stem cell biology or signal
transduction) and must be motivated and capable to engage in other areas of expertise as
required by the project. The dynamics of this research project requires the ability for
multitasking, to work independently as well as collaboratively with other lab members and
external collaborators. The candidate should be proficient in basic molecular biology techniques,
including RT‐PCR, Western blots, immunostaining, immunoprecipitation, sequencing, cloning
and cell cultures.

Please send CV, statement of research interests and research accomplishments, and contact
information for 3 references to:

I‐Ping Chen, PhD
(Assistant Professor)

University of Connecticut Health (UCH)
Department of Oral Health and Diagnostic Sciences
263 Farmington Avenue
Farmington, CT 06030‐3705

Tel: 860‐679‐1030
email: ipchen@uchc.edu

Dr. Pedro Mendes, in the Center for Quantitative Medicine (CQM) and also affiliated with Center for Cell Analysis and Modeling (CCAM) and Dept. of Cell Biology, UConn Health, is recruiting a postdoc to undertake research in the area of computational systems biology. The successful candidate will join an International team that are developing the modeling and simulation software COPASI (http://copasi.org, Hoops et al. 2006 Bioinformatics 22:306774). The position, funded by an NIH grant, is to develop and implement simulation and optimization algorithms, particularly focused on large biochemical networks. These algorithms will then be incorporated into the software COPASI using the C++ programming language. The project will continue to support interoperability and standards compliance, particularly regarding the systems biology markup language (SBML) and the simulation experiment description language (SED-ML).

COPASI is a software application for simulation and analysis of biochemical networks and their dynamics.  It is routinely used in biological and chemical research, as documented in many publications from authors around the world – in 2015 COPASI was used in 79 publications (more details at http://copasi.org/research). Development of COPASI thus requires special attention to the usability of the software and extensive testing. COPASI software development uses formal methodologies such as code version management, issue tracking, etc. Finally we support the bioscience community in their use of COPASI and modelling and simulation in general. This is achieved through online support forum, video tutorials, and User Workshops. The position will involve software development in a geographically distributed team (with collaborators in Germany and Virginia Tech) and thus requires frequent communication via email, mailing lists and teleconferencing. Frequent communication with COPASI users – other computional biologists with different levels of expertise – is also expected.

The successful candidate will work on the source code of COPASI, maintaining the existing code and implementing new features. She/he will also provide assistance to COPASI users, organize and participate in tutorials, demonstrations, and other educational and outreach activities. She/he will prepare manuscripts for peer review and present them at specialized conferences. A PhD or equivalent in biology, computer science, mathematics, physics, or related areas is required. Experience of programming in C++ or another object-oriented language, as well as modeling with differential equations, are essential. Previous experience of using the software COPASI is desirable but not essential.

The environment at UConn Health is particularly rich in the area of computational biology and the successful candidate will be able to interact with other teams at CQM working on systems biology and biomedical informatics, and at CCAM where related simulation software projects are ongoing (VCell, BioNetGen, etc.). Co-located in our campus in Farmington are also the Medical and Dental Schools, and the Jackson Laboratory for Genomic Medicine.

To apply for this position please email your full CV to Dr. Pedro Mendes (pmendes@uchc.edu)
Responsibilities:

  • Development of the COPASI simulation and optimization algorithms.
  • Develop, maintain and adhere to programming standards for the COPASI source code.
  • Engages in collaborative work with peers with the aim of achieving project objectives.
  • Contributes to research in other group projects, as needed.
  • Routinely communicates research progress with supervisors, peers and other research staff.
  • Publishes original results from group and individual research work in scientific journals and present results at conferences and other scientific meetings.
  • Contributes to the development of research proposals, reports, and resource acquisition.
  • Assists in the development of student research skills.

Qualifications:

  • PhD in Computer Science, Biology, Mathematics or Physics
  • Experience in programming and software development with object oriented languages.
  • Knowledge of C++.
  • Excellent communication skills.
  • Evidence of a strong publication record in peer-reviewed journals.
  • Creativity, independence, and high motivation.
  • Strong work habits and the ability to work independently as well as in a research team.

Preferences:

  • Experience in User Interface design and development with the QT toolkit.
  • Experience with the COPASI simulation software
  • Knowledge of numerical analysis.
  • Experience with code versioning systems

Applications are being accepted for a clinical-research post‑doctoral position in childhood anxiety/depression. Applicants must have a doctorate in a relevant area of study, excellent oral and written communication skills, experience in conducting clinical research and data analysis, experience in school/community settings, and training in cognitive-behavior therapy preferred. The applicant should have the organizational skills necessary to manage the daily operations of a large-scale randomized controlled trial implemented in numerous schools/clinics. The fellow will be involved in all aspects of the study including (but not limited to): recruitment, outreach, training, supervision of study staff, and data management and analysis, manuscript preparation, and publications. Opportunities for grant writing and transition to faculty are possible. Start date is flexible.Interested applicants should email their curriculum vitae, up to three published research papers, a brief statement of research interests and goals, and three letters of recommendations to Golda S. Ginsburg, Ph.D., at UConn Health, Department of Psychiatry, gginsburg@uchc.edu

A Postdoctoral Fellow position is available in the Center for Cell Analysis and Modeling (CCAM) at UConn Health in Farmington, CT. The research goals include 1) developing novel biosensor reagents to visualize signaling dynamics in living cells, and 2) developing optogenetic tools to exert precise spatiotemporal control in cellular signaling. In general, we are seeking candidates who have a strong background in live cell imaging or protein engineering. However, any motivated candidates who can bring in to the lab their prior excellent research experiences and are interested in applying our existing tools in cell biology and neuroscience are encouraged to apply. The fellow will also have an opportunity to work with a team of multidisciplinary investigators in the CCAM who share a broad interest in computational modeling and fluorescence imaging. To be considered, a candidate should submit his/her CV and a brief statement of research interests and career goals, and have three references sent to Dr. Yi Wu, yiwu@uchc.edu.

Web: http://facultydirectory.uchc.edu/profile?profileId=Wu-Yi.

Always be sure to check the UConn Health Find Jobs page for more listings.


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The University of Connecticut is committed to building and supporting a multicultural and diverse community of students, faculty and staff. The diversity of students, faculty and staff continues to increase, as does the number of honors students, valedictorians and salutatorians who consistently make UConn their top choice. More than 100 research centers and institutes serve the University’s teaching, research, diversity, and outreach missions, leading to UConn’s ranking as one of the nation’s top research universities. UConn’s faculty and staff are the critical link to fostering and expanding our vibrant, multicultural and diverse University community. As an Affirmative Action/Equal Employment Opportunity employer, UConn encourages applications from women, veterans, people with disabilities and members of traditionally underrepresented populations.