Postdoctoral Position in Evolutionary Structural
vor 3 Wochen
**Introduction**:
UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges. As an employer, UNIL encourages excellence, individual recognition and responsibility.
**Presentation**:
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
The position is full-time, with some travelling (Switzerland has an excellent railroad network) and remote work.
**Job information**:
The aim of this project is to overcome existing limitations in understanding the biological processes and evolutionary trajectory of the urmetazoan, the last common ancestor of all animals, through the reconstruction of its genome and that of its unicellular ancestor using innovative computational approaches. By reconstructing ancestral genomes, identifying co-evolving genes, understanding genetic changes that drove innovation and adaptation, and reconstructing protein interaction networks, with a specific focus on membrane trafficking and cytoskeletal organisation, we seek to gain valuable insights into the success of the urmetazoan and establish a solid foundation for reconstructing other ancestral clades.
Our interdisciplinary approach combines various fields including high-performance computing, bioinformatics, proteomics, biophysics, and cell biology. To begin, we will develop novel algorithms capable of integrating an unprecedented volume of genomic and proteomic data, enabling us to computationally infer ancestral proteomic sequences, folds, and interactions. Utilising this advanced toolbox of large-scale, fine-grained reconstructive techniques, we will then conduct experimental assessments on key cellular changes that have occurred in different organisms spanning the emergence of animals. We will reconstruct ancient proteins and investigate their interactions through biochemical, structural, and in vivo studies.
This project offers an exciting opportunity for a postdoctoral researcher to contribute to pioneering research at the intersection of computational biology, proteomics, and evolutionary biology. The findings of this study have the potential to significantly advance our understanding of the urmetazoan and its evolutionary significance, while also paving the way for further exploration of ancestral lineages across the tree of life.
Expected start date in position: 01/9/2023 or to be agreed
Contract length: 1 year
Activity rate: 100%
Workplace: Unil-Sorge, Lausanne and ETH Zurich
**Your responsibilities**:
- Conduct independent research on two main projects (1) Use AI-based tools to conduct high-resolution phylogenetic profiling to build ancestral interaction networks, and (2) Build a pipeline to use AlphaFold and predict ancestral structures of monomers and complexes.
- Collaborate with an interdisciplinary team of researchers.
- Publish research findings in high-quality scientific journals and present research results at conferences and seminars.
**Your qualifications**:
- Ph.D. in Structural Biology, Bioinformatics, Computational Biology, Applied Maths, or a related field.
- Strong background and expertise in at least two of the following areas: bioinformatics, phylogenetics, structural biology, and machine learning, with a demonstrated track record of research productivity in this field.
- Proficiency in computational analysis of large-scale structure data, including the use of bioinformatics tools, programming languages (e.g., Python, R), and statistical techniques.
- Familiarity with structural databases, tools, and resources.
- Strong communication skills and the ability to collaborate effectively with team members.
**What the position offers you**:
- The postdoctoral researcher will join a vibrant and collaborative research environment with access to state-of-the-art facilities, computational resources, and genomic/mass spec data.
- The position offers competitive salary and benefits commensurate with experience.
- Opportunities for professional development, including mentorship, conference attendance, and career advancement guidance.
- Opportunities to collaborate with partners at high-ranking academic institutions.
- A detailed CV highlighting research experience, publications, and relevant skills.
- A cover letter outlining research interests, accomplishments, and how they align with structural bioinformatics and machine learning.
- Contact information of three references who can provide letters of recommendation
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