[Postdocs] [PhD students] [Msc & BSc students]

Currently, we have one funded Phd position. Please check Here

As a general note, please read at least 3 papers published by the group to see if your idea fits in. Also, we are willing to help finding funding or act as a host institute for researchers.

For postdocs

At this moment, we do not have funding for postdocs. However, there are several funding agencies that could be contacted. Broad topics of interested to the group are listed below. However, postdocs are encouraged to come with their own ideas and project proposals.

BBSRC, EPSRC, Wellcome trust, Marie Curie fellowships, Newton international fellowships

For Phd students

We are interested in supervision of Phd students in the following subjects among others.

  • Dendritic computations on hardware. Electro-physiological simulation of morphologically elaborate models is slow. Can dendritic computations be simulated efficiently on hardware? (FPGA, GGPU, Spinnaker, ...)
  • Invertebrate behaviour based on dendritic computation. Invertebrate live in a niche ("crickets don't play chess") and often use few dedicated neurons that directly link sensing to behaviour. We are interested in the neuronal computations underlying such behaviours, and, how neuronal morphology, membrane composition and input patterns facilitate the required computations.
  • Dendrites for robots! Related to the two previous topics: can we equip autonomous, mobile robots with dendrites to improve their adaptiveness and robustness?
  • Morphological analyses of dendrites, axons and micro-circuits. We work with collaborators that collect increasing amounts of structural data. These data include single neuronal morphologies but also forest of neurons. New analyses tools need to be developed to process and analyse those data.
  • In silico synthesis of dendrites, axons and micro-circuits using NeuroMaC. Synthesis is the counterpart of analyses. If anlysis is the deducation of general principals from the data, than synthesis is the induction of general principles from detailed hypotheses. Synthetic modeling can corroborate or refute specific hypotheses about neuronal morphology and circuits.
  • Energy constraints to neural computation at the single neuron level. Are some strategies to perform a computation better suited from an energy point of view?

Several sources of funding could be of interest for candidates. BBSRC, Newton, Mary Curie, Wellcome trust

For MSc and BSc students

At the Dendrites.club, we do a lot of coding. As such, we have plenty of neurinformatics projects ranging from short (Bsc) projects to Msc projects and even Phd projects. Some of the Neuroinformatics projects are described below.

We welcome students with great programming skills, preferably in Python, R or Java. Some projects rely on knowledge of parallel programming or the use of meshes (mesh generation and rendering). Let us know if you have those competencies.

Extending btmorph

  • Implementing new morphometric features related to single neurons but also to their embedding in groups.
  • Refactoring of btmorph code
  • Improving features related to fractal dimension
  • Porting btmorph to R
  • Implement adaptors to input Imaris, Neurolucida (dat and asc) and NEURON format
  • Generate beautiful images of neurons in both 2D and 3D
  • Implement general pre-processing procedures such as rotation and alignment

Extending NeuroMaC

  • Implementing new models to synthesise neuronal morphologies
  • Extension of NeuroMaC to improve on-the-fly putative synapse detection
  • Improve load-balancing of NeuroMaC

Misc projects

  • Refactor a basic robot simulator written in Java