Doctoral Student in Healthcare: KTH Royal Institute of Technology’s School of Engineering Sciences in Chemistry, Biotechnology, and Health is offering a doctoral student position. This opportunity involves working on innovative projects aimed at improving healthcare through data-driven methods. The role will include data analysis and developing machine learning, AI, and NLP models. Candidates must have a strong background in computer science or related fields and a keen interest in healthcare improvement.
Doctoral Student in Data-Driven Methods for Organizing Healthcare
Summary Table
| Designation | Doctoral Student in Data-Driven Methods for Organizing Healthcare |
|---|---|
| Research Area | Technology and Health |
| Location | Stockholm, Sweden |
| Eligibility | Master’s Degree in Computer Science, Statistics, Mathematics, or relevant disciplines |
| Job Description | Data analysis, building ML, AI, and NLP models, collaboration with researchers and healthcare professionals |
| How to Apply | Apply via KTH’s recruitment system, ensuring the application is complete as per instructions |
| Last Date to Apply | 15th June 2024 |
Designation
Doctoral Student in Data-Driven Methods for Organizing Healthcare
Research Area
Technology and Health
Location
Stockholm, Sweden
Eligibility/Qualification
- Master’s Degree in Computer Science, Statistics, Mathematics, or other relevant disciplines in Natural Sciences and Engineering.
- Experience in programming, especially Python and Databases.
- Strong critical reasoning skills, excellent English proficiency, and the ability to work independently and collaboratively.
- Preferred qualifications include strong programming skills in Python and other relevant languages, background in AI, machine learning, data science, and statistics, with a focus on statistical methods and NLP.
Job Description
The selected doctoral student will:
- Work on projects aimed at improving healthcare systems through data-driven methods.
- Perform data analysis and develop machine learning, AI, and NLP models and pipelines.
- Collaborate with researchers, clinicians, and healthcare practitioners.
- Engage in interdisciplinary research and contribute to both academic and industry-specific advancements.
What We Offer
- A dynamic and international research environment.
- Collaboration with industries and prominent universities worldwide.
- Monthly salary according to KTH’s Doctoral student salary agreement.
- Supportive workplace concerning working conditions, gender equality, and diversity.
- Assistance with relocation and settling in Sweden.
- Opportunity to develop both research and industry-specific skills.
Admission Requirements
- Master’s Degree or equivalent in relevant fields.
- Completed course requirements of at least 240 higher education credits, including at least 60 second-cycle credits.
- Equivalent knowledge acquired through other means.
How to Apply
To apply for this position, submit your application through KTH’s recruitment system. Ensure your application includes:
- CV with relevant professional experience and knowledge.
- Application letter (maximum 2 pages) explaining your research interests and how they align with your previous studies and future goals.
- Copies of diplomas and grades from previous studies and language proficiency certificates.
- Representative publications or technical reports with summaries and web links to the full texts.
- Ensure all documents not in English or Swedish are translated and certified.
Last Date to Apply
15th June 2024
Contact
- Adam Darwich: darwich@kth.se
- Jayanth Raghothama: jayanthr@kth.se
For further information and application submission, visit KTH’s official recruitment system.
