ERC Start Up grant – and we’re hiring Post docs

After 1 ½ years at the Technion the lab is equipped and running – and we managed to land generous funding for the upcoming 5 years! The ERC Start Up grant is awarded to high risk – high gain research, so we plan to venture deep into in vivo neural networks, combining transcriptomics and connectomics at the single cell level.

Neurons are at the core of the nervous system’s computational capabilities. In recent years, we and others have advanced single-cell RNAseq to reveal their extraordinary molecular diversity in transcriptome-based cell-type taxonomies. It is the unique combinations of circuits that these different neuronal types form – within a practically unlimited space of possible implementations– that encode the large functional repertoire of the nervous system. Although critical, little is known about the basic organizational principles of cells within the circuits – the ‘wiring rules’. This highlights the conceptual challenge to measure connectivity on a systematic and synaptic, single-cell level. What is the topology of networks? What is the relation between network topology and function? How do cell types and gene expression determine wiring? 

As a Post doc in our lab you will be leading the experimental (position 1) or computational (position 2) efforts towards a systematic approach to resolve nervous system computation at the level of its cellular building blocks

Address your applications, including CV and 2 referees to

2 open PhD positions

Our lab is growing and we currently have openings for two PhD students. The lab uses advanced high-throughput genomics data to tackle problems in neuroscience using the mouse as animal model. We thrive at the intersection of molecular- and neurobiology, technology development and computer science and therefore encourage highly motivated students from diverse backgrounds to apply. 

Suitable candidates hold (or are about to obtain) an MSc degree (or equivalent), enjoy working independently, as part of a team and in collaboration with others, have strong, creative problem-solving skills and are fluent in spoken and written English.

Project 1 – Computational: This project involves development and application of machine learning tools for large-scale single-cell RNA-seq data.
Your profile: Candidates should have experience/knowledge in programing and a quantitative background such as engineering, physics or computer science. If neuroscience excites you, you’ve come to the right place.

Project 2 – Experimental:This project involves developing strategies to study neuronal connectivity at the single cell level in mice. Methods include engineered viruses and single cell RNA-seq.
Your profile: Candidates should be familiar with molecular and cell biology techniques and have deep interest in neurobiology. Experience with animal work, NGS and basic analysis skills are of advantage. 

The Technion – Israel Institute of Technology graduate school will enroll you in the international PhD program and cover 4 years of full-time studies on a scholarship. Our lab is affiliated with the Faculty of Biotechnology and Food Engineering, and located at the Lorry I. Lokey Interdisciplinary Center. Our lab offers excellent research facilities and interdisciplinary scientific training.

Contact us for further information, and address your application, including CV and 1-2 referees to

Molecular Architecture of the Mouse Nervous System out in Cell!

We’re happy to see our Atlas of the Mouse Nervous System published in Cell this week! At Sten Linnarssons lab we sampled roughly 500 000 single cells across 19 regions of the nervous system, and provide a taxonomy of 265 cell types, their detailed molecular phenotypes and spatial distribution.


Read the paper (Open Access) and browse our resources on and

Call for students

We are looking for motivated students with deep interest in molecular biology and neuroscience. The lab uses advanced high throughput genomics data to tackle problems in neuroscience using the mouse as animal model.

Available projects include the use of the following methodologies:
Single-cell RNA sequencing, advanced fluorescence in situ hybridization imaging, dissection and isolation of brain cells, microsurgery and virus injections, as well as data analysis of large single-cell datasets.

Students from any kind of background are encouraged to apply.
For more details, please get in touch!