Job ID: 5446
Job date: 2016-12-26
End Date:
Company : University College London Country : Role : Postdoc | Student
Job date: 2016-12-26
End Date:
Company : University College London Country : Role : Postdoc | Student
Job Description:
Postdoc #1 (3 years + possible extension up to 2 years): The project will involve developing and testing novel methods to predict and model protein structure for both globular and transmembrane proteins. Probable methods to be employed would include deep learning (e.g. deep convolutional nets), computational statistics and high performance computing. The work would suit applicants from a wide range of background areas e.g. mathematics, physics and chemistry, along with bioinformatics and computer science. Applicants should have a PhD in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++. Experience of carrying out experiments with deep neural networks would be a distinct advantage. A track record of publishing good quality scientific papers is essential. Postdoc #2 (3 years + possible extension up to 2 years): The project will involve developing and testing novel molecular simulation algorithms to predict protein-protein interactions, simulate disordered protein binding modes and model transmembrane proteins, and would suit applicants from a wide range of background areas e.g. mathematics, physics and chemistry, along with bioinformatics and computer science. Applicants interested in this post should have a PhD in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++ and, ideally, experience in molecular modelling and/or simulation techniques. A track record of publishing good quality scientific papers is essential. PhD Studentships: Two four-year PhD studentships are also available to UK and EU students. The first studentship is an entirely computational project aimed at developing novel transmembrane protein structure prediction methods, employing amino acid covariation. The second studentship involved a combination of experimental lab work (gene cloning and DNA sequencing) along with more limited computational work to investigate the effects of covariation signals on designed proteins. The experimental lab work will be carried out in collaboration with Dr Renos Savva at Birkbeck College. Qualifications: Postdoc applicants should have a PhD (or expect shortly to receive a PhD level qualification) in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++. A track record of publishing good quality scientific papers is essential. Applicants for the PhD Studentships should have a good first degree (1st or 2i) or equivalent in a relevant scientific area e.g. biochemistry, computer science, physics, chemistry.
Additional Info:
ProCovar is an ERC Advanced Grant funded project to explore the state-of-the-art in protein structure prediction and modelling using the latest coevolution-based methods, under the direction of Prof. David Jones (E-mail: d.t.jones@ucl.ac.uk) in the Dept. of Computer Science at UCL. The Jones lab is currently seconded to the newly opened Francis Crick Institute (https://www.crick.ac.uk), and so this will also be an exciting opportunity to connect with the exciting research being carried out over there. Postdoctoral salaries will be on the standard Grade 7 scale (£34,056-£41,163 depending on experience). How to Apply: Applicants for the postdoctoral positions should use the "Apple Now" link at the following URL: https://goo.gl/jlKxEv For the PhD studentships, e-mail a CV and covering letter to Prof. Jones in the first instance. Contact: Prof. David Jones d.t.jones@ucl.ac.uk[Click Here to Access the Original Job Post]
Postdoc #1 (3 years + possible extension up to 2 years): The project will involve developing and testing novel methods to predict and model protein structure for both globular and transmembrane proteins. Probable methods to be employed would include deep learning (e.g. deep convolutional nets), computational statistics and high performance computing. The work would suit applicants from a wide range of background areas e.g. mathematics, physics and chemistry, along with bioinformatics and computer science. Applicants should have a PhD in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++. Experience of carrying out experiments with deep neural networks would be a distinct advantage. A track record of publishing good quality scientific papers is essential. Postdoc #2 (3 years + possible extension up to 2 years): The project will involve developing and testing novel molecular simulation algorithms to predict protein-protein interactions, simulate disordered protein binding modes and model transmembrane proteins, and would suit applicants from a wide range of background areas e.g. mathematics, physics and chemistry, along with bioinformatics and computer science. Applicants interested in this post should have a PhD in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++ and, ideally, experience in molecular modelling and/or simulation techniques. A track record of publishing good quality scientific papers is essential. PhD Studentships: Two four-year PhD studentships are also available to UK and EU students. The first studentship is an entirely computational project aimed at developing novel transmembrane protein structure prediction methods, employing amino acid covariation. The second studentship involved a combination of experimental lab work (gene cloning and DNA sequencing) along with more limited computational work to investigate the effects of covariation signals on designed proteins. The experimental lab work will be carried out in collaboration with Dr Renos Savva at Birkbeck College. Qualifications: Postdoc applicants should have a PhD (or expect shortly to receive a PhD level qualification) in bioinformatics, computational biology, computational chemistry, computer science, machine learning or data science, along with good coding skills in Python and C/C++. A track record of publishing good quality scientific papers is essential. Applicants for the PhD Studentships should have a good first degree (1st or 2i) or equivalent in a relevant scientific area e.g. biochemistry, computer science, physics, chemistry.
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Additional Info:
ProCovar is an ERC Advanced Grant funded project to explore the state-of-the-art in protein structure prediction and modelling using the latest coevolution-based methods, under the direction of Prof. David Jones (E-mail: d.t.jones@ucl.ac.uk) in the Dept. of Computer Science at UCL. The Jones lab is currently seconded to the newly opened Francis Crick Institute (https://www.crick.ac.uk), and so this will also be an exciting opportunity to connect with the exciting research being carried out over there. Postdoctoral salaries will be on the standard Grade 7 scale (£34,056-£41,163 depending on experience). How to Apply: Applicants for the postdoctoral positions should use the "Apple Now" link at the following URL: https://goo.gl/jlKxEv For the PhD studentships, e-mail a CV and covering letter to Prof. Jones in the first instance. Contact: Prof. David Jones d.t.jones@ucl.ac.uk[Click Here to Access the Original Job Post]