PhD position in the Blankertz Lab

Field: Neurotechnology

Salary: TV-L 13, 100%

To be filled: as soon as possible

Application due: March 29, 2024

Reference number: IV-94/24

Tenure: 5 years (part time might be possible)

 

The Neurotechnology group offers a position for a research associate (m/w/d) at a pioneering interface of research and teaching in different scientific disciplines. The group brings together members with backgrounds in computer science, mathematics, and computational neuroscience. Our research focuses on the development of algorithms for analyzing and classifying EEG data as well as algorithms for games and puzzles. Our expertise includes classical machine learning, deep learning, Riemannian geometry, realistic neural networks, and algorithmics.

Requirements:

  • Successfully completed scientific university degree (Master, Diploma or equivalent) in computer science, mathematics, computational neuroscience, biophysics, or a related field
  • Sound knowledge of computer science, especially with regard to algorithms required - Experience in using versioning tools, e.g., Git
  • Sound knowledge in one or more of the following areas is an advantage: algorithms for games and puzzles, data analysis of EEG signals, Riemannian geometry, computational geometry
  • The willingness and ability to work interdisciplinary in an international team is expected
  • Preference will be given to applicants with knowledge and extensive programming experience in data analysis with Python or Scala
  • Experience in scientific work and an independent working style is an advantage
  • The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills

Full information and instruction for applying: https://www.jobs.tu-berlin.de/en/job-postings/179494


Contact:
Benjamin Blankertz
Berlin Institute of Technology
Chair for Neurotechnology
Sekr. MAR 4-3,
Marchstr. 23
D-10587 Berlin
contact@neuro.tu-berlin.de
Phone (+49 30) 314-78626

 

ERC funded PostDoc Position, serotonin & decision-making

Research in the Decision Circuits Lab located at the Bernstein Center for Computational Neuroscience Berlin and Institute of Biology at Humboldt University Berlin, Germany, focuses on the fundamental neural principles that underlie decision-making. By employing state-of-the-art tools in systems neuroscience, we seek to develop cortical circuits and ask how dopamine and serotonin enable adaptive decisions. For more information on our research please visit https://torbenottlab.org.

Research Assistant (PostDoc position)

Field: “Serotonin & Decision-making"

Salary: TV-L 13, 100%

To be filled: May 1, 2024

Application due: March 15, 2024; applications might be considered after the deadline

Reference number: not available at the moment

Tenure: 3 years (with an option of prolongation)

 

Your job

• Research in systems neuroscience focusing on the role of cortical serotonin for temporal cognition and decision-making
• Use of state-of-the-art experimental tools such as quantitative psychophysics, high-throughput electrophysiology, chemical sensor imaging, and optogenetics in rats
• Collaborative development of analyses and computational models of behavior and cortical functions

Requirements:

• Ph.D. in neuroscience, natural science, quantitative science, or a related discipline
• Strong research experience in neuroscience including animal research
• Solid programming experience in Python, MATLAB, or similar
• Strong analytical skills, intrinsic motivation, and organization skills
• Advanced English communication skills

Our offer:

• Join a motivated international research group and interdisciplinary research institute
• Experience a vibrant neuroscience community in Berlin
• Continuous scientific mentoring by your scientific advisor, postdoc networks, coaching and mentoring services
• Opportunity to participate in international conferences and networking events
• Funding provided throughout the project by ERC Starting Grant TIMEVALUE

How to apply:

Please send your application including a letter of motivation, a CV, a list of publications or manuscripts, a list of two potential referees to torben.ott@bccn-berlin.de. Don’t hesitate to get in touch if you have questions about the position.
HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Researchers from abroad are welcome to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply.