PhD scholarship available in bioinformatics

Schmeier Research Group // Massey University


PhD position in computational biology/bioinformatics

We have a PhD position, including scholarship covering fees and living expenses, available in our group in Auckland, New Zealand. The prospective candidate will analyse transcriptomics and genomics data sets from high-throughput experiments in mammalian systems with a focus on gene regulation and non-coding RNAs. Please have a look at our recent publications to get an idea on what topics we work on. However, if you have specific interests within the wider scope of gene regulation and/or non-coding RNAs, we are happy to discuss those as well.

You have experience in the analysis of next-generation sequencing datasets, e.g. RNA-seq, WGS, ChIP-seq, etc.? You have a MSc or BSc(Hons) degree (or equivalent) in a related discipline? You have a curious mind and enjoy doing research? You feel comfortable on the linux command-line and have good english language skills? You might just be the right person to fill this position! Both local and international students are encouraged to apply.

The studentship covers all university fees and includes an annual tax-exempt stipend of up to NZ$27,500 for three years.

To apply for this position, please email your complete application to Dr. Schmeier . The application should include a cover letter explaining why you are a great fit for our group, a current curriculum vitae including the names of two referees, your academic transcripts, as well as proof of english language skills if your past degrees are not from an english speaking institution (might be handed in at a later stage). If you think of applying for this position, please also have a look at the general guide for applicants.

This call is also available as a PDF . Please feel free to share.

Publications // latest

MinION Sequencing of colorectal cancer tumour microbiomes – a comparison with amplicon-based and RNA-Sequencing. PLoS One, 2020, accepted.

Molecular subtyping improves prognostication of Stage 2 colorectal cancer. BMC Cancer, 2019, 19, 1155

DeePEL: Deep learning architecture to recognize p-lncRNA and e-lncRNA promoters. In proceedings: IEEE International Conference on Bioinformatics and Biomedicine, 2019, B516, accepted.

News&Blog // latest

[ 20190528 | news ] Recent funding successes.

[ 20190319 | news ] New publication: Frontiers in Immonology

[ 20190122 | news ] New publication: BMC Genomics

[ 20181230 | news ] New publication: Molecular Phylogenetics and Evolution

[ 20180703 | news ] New publication: Nature Methods

Tweets // latest