This advert is not available!
Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.
Description of the workplace
Neural Basis of Sensorimotor Control, at the Department of Experimental Medical Science of Lund University, is a world-leading lab in integrative neurophysiology. We have a unique competence in having characterized neuronal circuitry properties in essentially all major parts of the central nervous system with a variety of leading electrophysiological techniques, and also in implementing these insights into computer models of different levels of complexity. We are currently coordinating two major, cross-disciplinary, Innovative European projects (i.e. intuitive-itn.eu; ph-coding.eu), deepening our insights into these neuronal circuitry properties and finding applications of those insights in a variety of disciplines such as brain sensing strategies and autonomous intelligent systems. The lab is fundamentally cross-disciplinary with people with background in medical science, computer science and physics and a strong supportive environment for individual development.
We offer
Lund University is a government agency, which means that you receive special benefits, generous
holidays and a favorable occupational pension. Read more on the university's website about being
employed at Lund University, https://www.lunduniversity.lu.se/about-university/work-lund-university
Work duties and area of responsibilities
You will develop mathematical tools to infer the activity dynamics across large populations of neurons in the neocortex in vivo. Understanding such internal network dynamics will allow us to gain deeper understanding of how the brain networks operate, and thereby of the mechanisms explaining the generic function of the brain. Following this analysis, you will reconstruct the recorded dynamic population behavior in models of the underlying neuronal circuitry (i.e. biological neural networks). This will help informing future AI technology to become more faithful to actual brain circuitry operation.
The work will be based on previously acquired neural recording data from massively parallel recordings from 1000’s of neurons within small volumes of cortex for up to 10 hours continuously. The activity in this recording data occurs both spontaneously and by various sensory activations/combinations (using spatiotemporal primary sensory activation patterns of touch, vision, audio). Using pre-existing and own mathematical methods, estimate the spatial and temporal structure of the input-drive to the network, as well as main features of the internal network connections, and how that can explain the observed activity distributions across the recorded neurons. Reconstruct networks, using in-house biological neuron models, to further explain the data.
Qualifications
Required qualifications:
Master of Science or equivalent in subject areas related to mathematics, signal processing, neural networks, computational neuroscience or computer science
Considered of merit for the recruitment:
Previous work or studies related to neuroscience. A high level of independent creativeness in the application of mathematics
Other
This is a full-time, fixed-term employment of 4 years with start date 2022-09-01 or on agreement. Limit of tenure, four years according to HF 5 kap 7§.
How to apply
The application must contain a personal letter in which you describe how you meet the desired qualifications, a CV and your diplomas.
Lund University welcomes applicants with different backgrounds and experiences. We see equality and diversity as a strength and asset. Welcome with your application!
Eligibility
Students with basic eligibility for third-cycle studies are those who- have completed a second-cycle degree- have completed courses of at least 240 credits, of which at least 60 credits are from second-cycle courses, or- have acquired largely equivalent knowledge in some other way, in Sweden or abroad.
The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD-studies shall primarily be taken into account. In addition to devoting themselves to their studies, those appointed to doctoral studentships may be required to work with educational tasks, research and administration, in accordance with specific regulations in the ordinance.
Type of employment | Temporary position |
---|---|
First day of employment | 2022-09-01 |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2022/2640 |
Contact |
|
Union representative |
|
Published | 21.Jul.2022 |
Last application date | 11.Aug.2022 11:59 PM CEST |