PhD: Deep Learning for Biological Systems & Cancer Modeling

KTH Royal Institute of Technology; Stockholms kommun; On-site; SEK 312,480 - 379,440; Full time

Benefits offered by this job

Monthly salary according to KTH’s doctoral student salary agreement

Employment duration of four years with possible renewal

Job summary

KTH Royal Institute of Technology seeks a doctoral student in deep learning for biological systems to model cell interactions affecting cancer. The candidate will work on developing models and tools to enhance drug development, collaborating with institutions like AstraZeneca and SciLifeLab. Required qualifications include a Master’s degree and strong abilities in machine learning, mathematics, and independent research. A diploma related to Electrical Engineering or similar is essential. The position offers a tailored KTH doctoral salary agreement.

Qualifications

• At least 120 higher education credits in Electrical Engineering, Computer Science, Mathematics or closely related fields.
• Interest or previous experience with biological systems is desirable.
• Proven ability to conduct research and work independently.

Responsibilities

• Join a project to model cell‑cell interactions and disrupt cancer-promoting equilibria.
• Develop in silico and in vitro models and tools.
• Work towards transforming drug development.

Skills

Machine learning

Mathematics

Modeling

Deep learning models

Collaboration

Research communication

Education

Master’s degree or equivalent

120 higher education credits at second-cycle level

Job description

KTH Royal Institute of Technology seeks a doctoral student in deep learning for biological systems to model cell interactions affecting cancer. The candidate will work on developing models and tools to enhance drug development, collaborating with institutions like AstraZeneca and SciLifeLab. Required qualifications include a Master’s degree and strong abilities in machine learning, mathematics, and independent research. A diploma related to Electrical Engineering or similar is essential. The position offers a tailored KTH doctoral salary agreement.