Doctoral student in data-driven methods for organizing healthcare - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Technology and Health

The adoption of data-driven methods in healthcare provides significant opportunities for the effective utilization of resources, improved planning and coordination of processes, improved diagnostics and personalized care processes. 

The Department of Biomedical Engineering and Health Systems is looking for a doctoral student to work on exciting projects. The goal of the PhD is to develop a systemic basis for healthcare improvement, through data-driven methods. The student will be responsible for data analysis and building ML, AI and NLP models and pipelines for these projects. The student will collaborate with other researchers, clinicians and practitioners in healthcare.

Applicants should hold, or be about to receive a Masters Degree in Computer Science, Statistics, Mathematics or other relevant disciplines in Natural Sciences and Engineering. Experience in programming, especially Python and Databases is preferred. The candidate should have strong critical reasoning skills, with a desire to experiment and explore within complex systems, excellent knowledge of written and spoke English and the ability to work independently and within teams. The ability to collaborate and communicate with stakeholders and experts is of importance.

Supervision: Prof. Sebastiaan Meijer, Assoc. Prof. Adam Darwich and Assoc. Prof. Jayanth Raghothama is proposed to supervise the doctoral student. Decisions are made on admission

What we offer

• The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.
• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
• A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
• Work and study in Stockholm, close to nature and the water.
• Help to relocate and be settled in Sweden and at KTH.
• Interdisciplinary and collaborative research environment
• Possibility to develop both research and industry-specific skills

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a second cycle degree (for example a master's degree), or
• completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
• acquired, in some other way within or outside the country, substantially equivalent knowledge

Preferred qualifications

• Strong programming skills in Python, and other relevant languages (such as R)
• Background in AI, machine learning, data science, statistics, preferably with a focus on both statistical methods and NLP
• An interest for and insights in the datadriven health sector
• Experience with visualization and working with large datasets is an added bonus
• Strong problem-solving skills and ability to work in a fast-paced, interdisciplinary research environment
• Excellent communication and collaboration skills
• We are looking for someone who is open, collaborative, and communicative. You need to be able to work independently, actively contribute to problem solving, and to help move projects forward

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyse and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

To apply for the position

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

• CV including your relevant professional experience and knowledge.
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text. Provide github, gitlab or other links. 

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.