Education / qualifications / training required:
Essential:
Master’s degree in biology, medicine, or an equivalent subject that includes knowledge of cell biology, neuroscience and neuroanatomy.
Desirable:
Relevant skills and experience of working in a laboratory role, particularly in nanometre-resolution neuroanatomy labelling and reconstruction tools using software tools such as Fiji, CATMAID and FlyWire.
A PhD in a relevant subject or due to complete within 6 months.
Previous work experience required:
Essential:
Independent dry lab work including tracing neurons by hand in CATMAID software, annotating synapses by hand in CATMAID software, and proofreading neurons with FlyWire software.
Experience and theoretical knowledge of larval fruit fly neuroanatomy at nanometre scale as imaged with electron microscopy.
Experience in crafting and executing python scripts for retrieving data from online databases, analysing the neuroanatomy of neurons as defined by spatial coordinates (the arbours) and graph relationships (synapses), and pushing annotations back to the databases using the CATMAID API.
Experience in generating and curating ground truth data for training machine learning classifiers to segment neurons and detect synapses.
Desirable:
Experience in working in a laboratory environment, mentoring fellow research scientists, reviewing their work in segmenting and labelling neurons and synapses, and communicating with computer scientists across the discipline divide for effective delivery of high-performance machine learning approaches to neuron segmentation, synapse annotation, and proofreading.
Knowledge and experience:
Creativity and initiative
Essential:
Ability to plan and carry out experiments, collate and analyse data, using python scripts that use the Navis/Pymaid framework for accessing CATMAID databases.
Understanding of lab health and safety.
Previous experience working with and training students.
Desirable:
Practical experience of running and maintaining scientific equipment.
Independent working
Essential:
Proven skills in working independently and as part of a team with minimal supervision; good judgment in assessing when to ask for support.
Can independently advance existing techniques and implement new methods for connectomics.
Working with others
Essential:
Ability to work and communicate effectively with colleagues as part of a team.
Ability to train and supervise team members
Verbal and written communication skills
Essential:
Excellent written and verbal communication skills.
Experience of giving presentations.
Desirable:
Has made contributions to scientific papers.
Personal skills / behaviours / qualities:
Reliability and enthusiasm.
Strong organisational skills. Methodical and thorough.
Passion for science and a desire to continue to develop skills and knowledge.
Proactive in seeking solutions to problems and keen to take responsibility.
Ability to work as part of a team.