PhD projects in our lab are available starting January/August 2026. Candidates should have a B.Sc. or M.Sc. in bioinformatics, computer science, or statistics, and be enthusiastic about science! Possible projects include:
- Modeling of alternative splicing using long read RNA-Seq data
- Machine learning approaches to identify RNA modifications from direct RNA-Seq data
- Single-cell transcriptomics of human disease models
- Statistical modeling of uncertainty using large-scale transcriptomics data
We are working closely with wet labs and hospitals to generate new data sets and validate and translate predictions and findings. If you are interested in a PhD in Computational Biology, please contact Jonathan Göke by email (gokej at gis.a-star.edu.sg).
About the Laboratory of Computational Transcriptomics:
The PhD student will be enrolled at the National University of Singapore (NUS) and join an experienced team with expertise in collaborative software development and long read RNA-Seq data analysis (e.g. xPore, Nature Biotechnology (2021), m6Anet, Nature Methods (2022), bambu, Nature Methods (2023)), large scale transcriptomics data generation (e.g. the SG-NEx project), and the analysis of large-scale transcriptomics data (e.g. Demircioglu et al, Cell (2019), Calabrese et al. Nature (2020)). Previous PhD students have received the GIS Best Graduate Student Award, taken on faculty positions, and leading positions in industry. More information about the lab can be found online: https://www.jglab.org/ and www.github.com/goekelab
Requirements:
Candidates should hold a degree or graduate before August 2025 (B.Sc. or M.Sc) with major in bioinformatics, computer science, or statistics, good grades, and programming experience. Official language in Singapore is English, so good English communication skills are required. Candidates should be enthusiastic about science!
Computational Biology PhD Programme @GIS
The Genome Institute of Singapore (GIS) is the national flagship program for genomic sciences in Singapore. Computational Biology and AI forms an integral part of GIS as data analysis hub and center of excellent computational research. GIS houses 9 dedicated computational research groups that bring together a rich expertise in computer science, statistics, and bioinformatics. The computational teams are supported by state-of-the-art sequencing facilities and high perfomance computing infrastructure that enables cutting-edge genomics research. PhD Students have the opportunity to directly interact with experimental and clinical research labs at GIS to facilitate truly inter-disciplinary and translational research projects. PhD students will be enrolled at NUS, consistently ranked among the best Universities in the world. The Computational Biology PhD program at the GIS offers a world-class learning environment and excellent career prospects both for academia and industry.
Why Singapore?
Singapore is a city-state with one of the highest standards of living and a international hub for the biomedical sciences. Singapore is a vibrant, tropical city, with rich Asian heritage and modern style of living, an ideal gateway to explore Asia, providing a unique experience and an excellent quality of life.
Göke Lab 