Doctoral Student within biotechnology focusing on proteomics - Hiring in process/Finished, not possible to apply

Project description

Third-cycle subject: Biotechnology
 - Focus on Data-driven precision medicine and diagnostics

The subject concerns data-driven research on proteomics-based precision medicine and developing protein-based diagnostic computational tools.  The student will employ data-driven methods to integrate molecular and clinical data in order to facilitate translational research with an emphasis on diagnostic applications.

The primary role will be to conduct research within data-driven life science projects at Scilifelab. The primary goal of the Ph.D. student will be to examine proteomics datasets and construct AI models and/or other modeling methodologies in order to establish more precise and accurate protein quantification approaches. To enhance models for protein quantification in clinical samples, the PhD student will apply Data Independent Acquisition techniques in conjunction with stable isotope-labeled standards. Sample datasets from thousands of patients have been generated experimentally and are ready to be compiled and evaluated. Senior researchers from the division of Systems Biology, Department of Protein Science, will mentor the PhD student. The position includes teaching and other departmental responsibilities.

Supervision: Fredrik Edfors 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.Read more
• 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.

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
• To qualify as a Ph.D. student in this project, you must hold a master’s degree in a relevant field, namely biotechnology, bioinformatics or computer science (or similar)
• It is important that you have solid programming skills for handling biological big data analysis
• Ability to use Python and R with knowledge of data architectures and data pipelines
• Knowledge in biostatistics modeling and machine learning
• Knowledge in biological data management and data repository
• Experience in handling chromatographic data from mass spectrometry, such as proteomics and/or metabolomics
• Experience in using object-oriented programming in biological data
• Experience in interpretable methods in AI, as well as AI applications in healthcare
• Experience in using version control and public repository

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

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: Doctor´s 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.

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.

Application

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/entral 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.

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 please read here.

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.