This advert is not available!
To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required.
You will be joining the Hjerling-Leffler laboratory situated in the division of Molecular Neurobiology (MolNeuro) at the department of Medical Biochemistry and Biophysics (MBB). Our research group is interested in the genetic and cellular mechanisms of psychiatric disorders. We apply advanced mouse genetics and transcriptomics in combination with electrophysiology and traditional molecular methods. MolNeuro is a vibrant research environment with eight research groups that are intermingled and are sharing facilities and equipment creating a highly stimulating and dynamic research milieu for postdocs and students.
To complete a doctoral education means to devote oneself to a research project under supervision of an experienced researcher and to follow an individual study plan. The doctoral student will also take courses and write a thesis. After completing their doctoral education at KI, students are to have developed an advanced general knowledge of medical science and scientific methodology, and cutting edge scientific skills. For this project the student will, using transcriptomic methods and virus-induced genetic engineering, study changes in the brain during schizophrenia using both mouse models and human tissue.
A creative and inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective courses and the opportunity to work in a leading research group. Karolinska Institutet collaborates with prominent universities from all around the world, which ensures opportunities for international exchanges. You will be employed on a doctoral studentship which means that you receive a contractual salary. Employees also have access to our modern gym for free and receive reimbursements for medical care.
In order to participate in the selection for a doctoral position, you must meet the following general (A) and specific (B) eligibility requirements at latest by the application deadline.
It is your responsibility to certify eligibility by following the instructions on the web page Entry requirements (eligibility) for doctoral education.
A) General eligibility requirement
You meet the general eligibility requirement for doctoral/third-cycle/PhD education if you:
Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.
*If you claim equivalent knowledge, follow the instructions on the web page Assessing equivalent knowledge for general eligibility for doctoral education.
B) Specific eligibility requirement
You meet the specific eligibility requirement for doctoral/third-cycle/PhD education if you:
- Show proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school.
Follow the instructions on the web page English language requirements for doctoral education.
Verification of your documents Karolinska Institutet checks the authenticity of your documents. Karolinska Institutet reserves the right to revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish law and is considered grounds for legal action.
(A) and (B) can only be certified by the documentation requirement for doctoral education.
We are looking for a highly motivated and enthusiastic student. Great emphasis will be put on the ability to function together with the research group. The current project entails generation of single-cell RNA sequencing data and the development of advanced computational analysis using machine learning. It is necessary that prospective student has working knowledge of computational environments for the analysis of transcriptomic/genetic data and a background in artificial intelligence. We are looking for a person with an interest in psychiatric disorders and neuroscience. Suitable background would be a master's degree in machine learning, engineering or biophysics.
The doctoral student will be employed on a doctoral studentship maximum 4 years full-time.
Submit your application and supporting documents through the Varbi recruitment system. Use the button in the top right corner and follow the instructions. We prefer that your application is written in English, but you can also apply in Swedish.
Your application must contain the following documents:
- A personal letter and a curriculum vitae
- Degree projects and previous publications, if any
- Any other documentation showing the desirable skills and personal qualities described above
- Documents certifying your general eligibility (see A above)
- Documents certifying your specific eligibility (see B above)
A selection will be made among eligible applicants on the basis of the ability to benefit from doctoral education. The qualifications of the applicants will be evaluated on an overall basis.
Karolinska Institutet uses the following bases of assessment:
- Documented subject knowledge of relevance to the area of research
- Analytical skill
- Other documented knowledge or experience that may be relevant to doctoral studies in the subject.
All applicants will be informed when the recruitment is completed.
Type of employment | PhD placement |
---|---|
Contract type | Full time |
First day of employment | Upon agreement |
Salary | Monthly |
Number of positions | 1 |
Full-time equivalent | 100 |
City | Solna |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-4499/2024 |
Contact |
|
Union representative |
|
Published | 22.Nov.2024 |
Last application date | 13.Dec.2024 11:59 PM CET |