Sina Majidian

Chalmers University of Technology is advertising a Postdoc in Bioinformatics and Machine Learning based in Gothenburg, Sweden, within the Computational Genomics Research (CGR) Lab and the Data Science and AI division in the Department of Computer Science and Engineering. The position sits at the intersection of genomics, computational biology, machine learning, and data science, with a focus on understanding genome evolution and variation. The successful candidate will join a collaborative research environment with strong links across computing and life sciences. The CGR lab develops interpretable and efficient methods for comparative pangenomics, using machine learning, statistical analysis, and efficient algorithms/data structures to study human genome variation and evolution. The lab’s research page is available at https://CGRlab.github.io/research/. The postdoc project is flexible and can be shaped around the candidate’s strengths. Three example directions are highlighted: (1) comparative analysis of noncoding genomic regions and efficient indexing methods for large-scale DNA sequence data, including string algorithms, sequence indexing, pattern matching, and high-performance computing; (2) machine learning models for haplotype phasing and characterization of genetic variation; and (3) methods for studying the evolution of de novo genes in eukaryotes. Applicants with related expertise in computational biology, bioinformatics, algorithms, or machine learning are encouraged to apply. Mandatory requirements include a doctoral degree or equivalent foreign degree, strong English communication skills, proficiency in a programming language such as C++, Python, or Rust, and at least one high-quality first-author paper in a journal or top-tier conference. Experience with teaching is expected to some extent, and a recent PhD completion (within the last three years) is highly meritorious. The role includes research publication, supervision of master’s and/or PhD students to some extent, and possible teaching at undergraduate or master’s level. This is a temporary full-time employment for two years . The position requires physical presence during the whole employment period, and a valid residence permit must be presented by the start date if applicable. Chalmers offers employee benefits, a dynamic working environment in Gothenburg, and an inclusive research culture with initiatives supporting gender balance and equality. Applications must be submitted in English via the online application system by 2026-09-30 . Applicants should attach a CV and a motivation letter as PDF files, and incomplete applications or email submissions will not be considered. Contact person: Sina Majidian (Assistant Professor), [email protected].

Two postdoctoral positions are open in Computational Genomics at Chalmers University of Technology in Gothenburg, Sweden, within the CGRLab research group. The announcement is posted by Sina Majidian , Assistant Professor at Chalmers, who is recruiting for the lab. The research focus includes bioinformatics , machine learning , language models , DNA indexing , Burrows–Wheeler Transform , k-mer methods, and suffix trees . This is a postdoc hiring call rather than a scholarship. The post does not mention stipend amount, salary, tuition coverage, or a deadline. It also does not list formal eligibility requirements such as degree class, publication record, or language tests. Interested candidates should review the lab research page for context and watch for the official application instructions or hiring portal. The post encourages sharing and reposting, suggesting the formal call may be forthcoming or linked through the lab website. Institution: Chalmers University of Technology / Department of Computer Science and Engineering / SciLifeLab , Gothenburg, Sweden.

Chalmers University of Technology’s Data Science and AI Division is recruiting two PhD students in machine learning and is also advertising two open postdoc positions in Gothenburg, Sweden. The project is hosted in the CGR Lab / Computational Genomics Research Lab and focuses on developing new deep learning and language-model-style architectures for biologically relevant tasks, including methods and predictive models for DNA sequences and human health applications. The research areas highlighted in the post include convolutional neural networks , transformers , and state-space models , with an emphasis on training models on biological sequence data. The lab notes that no background in biology is required, since domain knowledge will be learned along the way. The environment is described as international, collaborative, and English-speaking, with access to strong compute resources, mentoring, and training support. Ideal applicants have a degree in a quantitative field such as computer science , mathematics , or engineering . The post also asks for programming proficiency, coursework in linear algebra, data structures, and algorithms, and prior experience with deep learning models such as CNNs, GNNs, or transformers. For the postdoc roles, the post mentions competitive salary and benefits. To apply, send a CV and a letter of interest by email to the supervisor. Applications are reviewed immediately, so early contact is encouraged. This is a strong fit for candidates interested in machine learning , bioinformatics , computational genomics , and AI for biology and health .

Chalmers University of Technology invites applications for a fully funded PhD position in Computational Genomics, based in the Computational Genomics Research (CGR) Lab within the Data Science and AI division. This interdisciplinary project aims to advance our understanding of how genetic variation, especially in noncoding regions of the human genome, contributes to complex diseases. The research focuses on developing innovative methods and models, including efficient pangenomic data structures, evolutionary models, and deep learning architectures trained on genomic data. The CGR lab is at the forefront of computational biology and bioinformatics, leveraging machine learning and statistical analysis to study genome variation and evolution. Candidates will have the opportunity to contribute to ongoing research or propose projects based on their strengths. The Department of Computer Science and Engineering, a joint department of Chalmers and the University of Gothenburg, offers a collaborative and diverse environment with strong industry links and internationally visible research. The division of Data Science and AI develops data-driven methods and AI solutions for intelligent decision-making across society, advancing machine learning from foundations to applications. The CGR lab’s research is accessible at https://cgrlab.github.io/research/ . The position is fully funded, with a starting salary of 34,550 SEK per month (from May 25, 2025), and includes all employee benefits. The appointment is for four years, with 20% teaching or departmental duties, potentially extending to five years. Doctoral studies require physical presence in Sweden throughout the study period, and a valid residence permit must be presented by the start date. Chalmers offers a dynamic working environment in Gothenburg, with generous parental leave, subsidized day care, free schools, and healthcare. The university is committed to gender balance, equality, and inclusion, and offers Swedish courses for non-native speakers. Applicants must hold a relevant Master’s degree (or a 4-year Bachelor’s for those educated outside Sweden), demonstrate strong English communication skills, and be highly proficient in programming (C++, Python, Rust, etc.). Experience in genome sequences and omics data, deep learning, or compressed data structures for strings is required. Additional qualifications such as coursework in bioinformatic algorithms, data structures, deep learning, workflow management systems (nextflow, Snakemake), SLURM, bioinformatics tools, mathematical modeling, and hands-on experience with model training and software development are highly valued. To apply, submit your application in English as PDF files (CV, personal letter, motivation, thesis, transcripts) via the application form at this link . Incomplete applications and those sent by email will not be considered. The deadline for applications is May 1, 2026. For questions, contact Assistant Professor Sina Majidian ([email protected]) or Professor Richard Johansson ([email protected]). Chalmers University of Technology is a leading institution in technology and natural sciences, fostering scientific excellence, innovation, and sustainability. Join us in Gothenburg to contribute to cutting-edge research in computational genomics and make a real impact in the field.