PhD Candidate within Developmental Neuroscience
About the job
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The position is based in the Quattrocolo group, a recently established research group part of the Kavli Institute for Systems Neuroscience. Recently, the Kavli Institute for Systems Neuroscience has been awarded the Centre for Algorithms in the Cortex, a new centre of excellence which will be funded from 2023 for 10 years by the Research Council of Norway. We offer an international and multidisciplinary environment in which creativity and scientific discourse is valued and stimulated. See http://www.ntnu.edu/kavli for detailed information.
The Quattrocolo group at the Kavli Institute for Systems Neuroscience has an opening for a PhD student in developmental neuroscience. The main research interest of the lab is the development of cortical circuits, specifically investigating the role of different cell types in the wiring of neuronal networks. The project will focus on the development and the diversity of GABAergic interneurons in the entorhinal cortex. We aim to combine different techniques, such as immunohistochemistry, transcriptomic analysis, cell-type specific viral vectors and transgenic mouse lines. The position is a full time (100 %) position, with a 3-years contract, and the position should start before the end of 2023.
Your immediate leader is Associate Professor Giulia Quattrocolo.
Required selection criteria
- You must have a professionally relevant background in neuroscience or a related quantitative science discipline
- Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level
- You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education
- Master's students can apply, but the master's degree must be obtained and documented by the end of 2023
- You must meet the requirements for admission to the faculty's doctoral program
- A strong interest in devlopmental neuroscience
- The candidate should be proficient in spoken and written English
The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Phd candidate, research assistant and specialist candidate and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria
- Experience with techniques used in cellular and molecular neuroscience (e.g. western blot, immunohistochemistry)
- Basic programming skills (such as MatLab, Python, R)
- Experience with rodents and certificate from the course in Animal Research in Norway (or equivalent)
- The candidate's motivation for the position
- Documented ability to work independently and as a team member
- The candidate's competency, flexibility and ambition
Emphasis will be placed on personal and interpersonal qualities.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
As a PhD candidate (code 1017) you are normally paid from gross NOK 532 200 per annum before tax, depending on qualifications and seniority. From the salary, 2 % is deducted as a contribution to the Norwegian Public Service Pension Fund.
Appointment to a PhD position requires that you are admitted to the PhD programme in Medicine and Health Sciences within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
The period of employment is 3 years.
The position is subject to external funding.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfil the criteria specified above.
The application must include:
- Updated CV and certificates.
- Transcripts and diplomas for bachelor's and master's degrees.
- A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis and official documentation of submission. Documentation of a completed master's degree must be presented before taking up the position.
- A short research statement explaining the experience and the interest of the candidate for the research topic and describing the relevance of the candidate’s background to the research project (maximum 1 page).
- A 1-page proposal describing a potential project focused on interneurons.
- Name and contact information of two references.
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
We will take joint work into account. If it is difficult to identify your efforts in the joint work, you must enclose a short description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
NTNU believes that inclusion and diversity is our strength. We want to recruit people with different competencies, educational backgrounds, life experiences and perspectives to contribute to solving our social responsibilities within education and research. We will facilitate for our employees’ needs.
NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the reservation is not accepted.
If you have any questions about the position, please contact Giulia Quattrocolo, e-mail firstname.lastname@example.org.
If you have any questions about the recruitment process, please contact Simon A. Berger, e-mail: email@example.com.
If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas, certificates and all the material listed in “The application must include” section. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.
Application deadline: 30.09.2023
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
The Kavli Institute for Systems Neuroscience is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, and designated as a Kavli Foundation Institute in 2007 (www.kavlifoundation.org). The scientific goal of the Institute is to increase the understanding of neural circuits and systems along with their role in generating psychological functions.
Today, the Institute consists of the Centre for Neuronal Computation (CNC) as well as the Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits. In 2014, the Nobel Prize in Physiology or Medicine was awarded to two of the Institute’s professors, Edvard Moser and May-Britt Moser. The Institute is responsible for an international master's programme and is affiliated with a doctoral programme in medicine. Through our widespread network of international collaboration, we offer unique career opportunities. For further information, see: www.ntnu.edu/kavli.
Deadline 30th September 2023
Employer NTNU - Norwegian University of Science and Technology
Place of service Kavli Institute for Systems Neuroscience