We are looking for talented, creative, and motivated students and postdoctoral candidates to join our team. We are especially interested in people with experience in electrophysiology, in vivo imaging, behavioral paradigms, or population-level analysis. Apply by sending your CV, and list of references to Peter C Petersen (petersen.peter@sund.ku.dk or petersen.peter@gmail.com).
Opportunities for students
Prospective graduate students can learn more about our Graduate Program in Neuroscience here.
Potential Ph.D. students should check out the Neuroscience Academy and any job listings below.
Current or recent open positions
We are offering a Ph.D. fellowship in Systems Neuroscience commencing on February 15, 2023, or as soon as possible hereafter.
Our group and research
Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents.
We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods.
Project description
We are seeking a highly motivated student for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches.
The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes and applying optogenetics for single cell tagging, and behavioral manipulations.
Principal supervisor is Assistant Professor, Peter C. Petersen, Department of Neuroscience, petersen@sund.ku.dk, Direct phone: +45 42414004.
Start: February 15, 2023
Duration: 3 years as a PhD student + 3 months as research assistant for enrolment, if relevant.
Job description
Your key tasks as a Ph.D. student at SUND are:
- Carrying through an independent research project under supervision.
- Completing Ph.D. courses or other equivalent education corresponding to approximately 30 ECTS points.
- Participating in active research environments including a stay at another research team.
- Obtaining experience with teaching or other types of dissemination related to your Ph.D. project.
- Teaching and disseminating your knowledge.
- Writing a Ph.D. thesis on the grounds of your project
Key criteria for the assessment of applicants
Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project, e.g. Neuroscience, Physics, Molecular biomedicine. Please note that your master’s degree must be equivalent to a Danish master’s degree (two years).
Other important criteria are:
- The grade point average achieved
- Professional qualifications relevant to the Ph.D. project
- Previous publications
- You are experienced in electrophysiology
- Knowledge of and experience with optogenetics/virus/genetic techniques and tools.
- Experience in data analysis using Matlab, Python, or R
- A curious mindset with a strong interest in the brain’s memory mechanisms
- Written and spoken English skills
- Relevant work experience
- Other professional activities
- Ability to work in teams
Place of employment
You will be employed at the Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment.
The successful applicant will join a thriving international neuroscience environment. The applicant will be the major participant in all aspects of the project, from designing and performing experiments, developing technical advances, performing data analysis, and presenting the results. Please contact petersen.peter@sund.ku.dk for questions and comments.
Living in Copenhagen
Copenhagen is a fantastic city and a wonderful living experience, and it has consistently been ranked among the world’s best cities to live in. Our lab is located centrally in the neighborhood Nørrebro, which recently was ranked as the world’s coolest neighborhood by Time Out Magazine. University of Copenhagen has an International staff mobility program to help accommodate international researchers with practical matters, before arrivals such as with residence permit, housing, and childcare/school as well as during the stay with salary, tax, pension, insurance, banking as well as getting accustomed with language and culture.
Terms of employment
The average weekly working hours are 37 hours per week.
The position is a fixed-term position limited to a period of 3 years. The start date is February 1, 2023 or after agreement.
The employment is conditioned upon the applicant’s successful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The Ph.D. study must be completed in accordance with The Ministerial Order on the Ph.D. program (2013) and the Faculty’s rules on achieving the degree.
Salary, pension, and terms of employment are in accordance with the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary starts at approximately 27,800 DKK/Roughly 3,700 EUR (October 2021 level) plus pension.
Questions
General information about Ph.D. studies at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/
Application procedure
Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in PDF format:
- Motivated letter of application (max. one page)
- CV incl. education, experience, language skills, and other skills relevant to the position
- Certified copy of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in a other language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted. As a prerequisite for a Ph.D. fellowship employment, your master’s degree must be equivalent to a Danish master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science
- Publication list (if possible)
Application deadline: 22 November, 2022, 23.59pm CET
Submit your application here: https://employment.ku.dk/phd/?show=157798
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.
We are seeking a highly motivated postdoctoral fellow for a project addressing the generation and functions of theta oscillations in spatial navigation using systems neuroscience and population-level approaches.
The project involves performing electrophysiological recordings from freely moving animals using chronically implanted high-density Neuropixels silicon probes, applying optogenetics for single cell tagging, and behavioral manipulations.
Our research
Our lab was founded in 2022, with the goal to understand the neuronal mechanisms involved in memory and cognition and how imbalances in the circuits can lead to pathological conditions. In particular, we study spatial memory, and theta oscillations in behaving rats, and how the distributed populations of neurons across the distributed brain circuits central to memory, are coordinating their dynamics to generate complex cognitive functions in awake rodents.
We are using state-of-the-art methods for measuring and manipulating the neuronal activity at large-scale and high specificity, together with advanced data analysis. This includes using Neuropixels and other high-density silicon probes, applying optogenetics, thermal and other perturbation techniques, dimensionality reduction, and other advanced population-analysis methods.
We are also strong supporters of open science and have developed multiple tools and solutions for the neuroscience community (both software and hardware solutions. We build CellExplorer – a framework for analyzing single cells (CellExplorer.org) and are currently developing BrainSTEM (www.BrainSTEM.org) – a collaborative electronic lab notebook for FAIR experimental neuroscience. Our hardware development includes 3D printed and machined microdrives and head cap systems and surgical protocols.
Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and experience:
Essential experience and skills:
- You have a Ph.D. in Neuroscience or other related sciences.
- You are experienced in electrophysiology.
- You have an active interest in the brain’s memory mechanisms.
- Experience with data analysis of single cells
- Proficient communication skills and ability to work in teams
- Excellent English skills written and spoken
Desirable experience and skills:
- In-vivo electrophysiological experiments in rodents
- Knowledge of and experience with optogenetics/virus/genetic techniques and tools.
- Data analysis using Matlab or Python applied to single cells and populations (e.g. spike sorting and LFP analysis).
- Computational neuroscience with knowledge in applying dimensionality reduction methods and population-level approaches.
Place of employment
You will be employed at the Department of Neuroscience, Panum Institute, University of Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment.
The successful applicant will join a thriving international neuroscience environment at the Department of Neuroscience, Panum Institute, University of Copenhagen. The applicant will be the major participant in all aspects of the project, from designing and performing experiments, developing technical advances, performing data analysis, and presenting the results. The postdoc is funded for 3 years in the first instance and is available immediately. Please contact petersen.peter@sund.ku.dk for questions and comments.
Submit your application here: https://employment.ku.dk/faculty/?show=157309
Deadline: October 1, 2022.
Living in Copenhagen
Copenhagen is a fantastic city and a wonderful living experience, and it has consistently been ranked among the world’s best cities to live in. Our lab is located centrally in the neighborhood Nørrebro, which recently was ranked as the world’s coolest neighborhood by Time Out Magazine. University of Copenhagen has an International staff mobility program to help accommodate international researchers with practical matters, before arrival such as with residence permit, housing, and childcare/school as well as during the stay with salary, tax, pension, insurance, banking as well as getting accustomed with language and culture.
Currently, the monthly salary starts at 35,000 DKK/approx. 4,700 EUR (October 2021 level) and includes an additional 17 % to your pension fund. Depending on qualifications, a supplement may be negotiated. The Danish tax authorities have a special low tax (27%) for foreign researchers for the first 5 years (learn more).
The University of Copenhagen wishes to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.