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Student internships

The EMBL Visitors and Scholars Programme also offers opportunities at other EMBL sites.

Outreach and Training Team – Cath Brooksbank

The Outreach and Training Team offers internships to work on identifying and cataloguing courses and learning tools of relevance to the pharmaceutical industry.

We have an opening for an intern to help us to develop the content of courses for our new online training resource, Train online. This is an excellent opportunity for an early-stage researcher to become an expert user of some of Europe's most important freely available biological data resources, and to turn this knowledge into beautifully structured courses that will enable like-minded scientists to get to grips with their biological data.


During your time here you will gain a basic grounding in bioinformatics training, especially for online training materials. You will work closely with other teams at the EBI who will provide the expert content to be used in the course, as well as the Outreach and Training Team.


If you take the position we expect that you will find it challenging, enjoyable and very useful for your future employment opportunities.

Please send:

  • a brief paragraph explaining why you are interested in this opportunity and a set of bullet points indicating your background
  • any relevant experience you have with creating course (teaching/training) materials
  • your CV

by email to: vicky@ebi.ac.uk, with the subject title 'Training Intern'.

 

Placement duration 2-3 months
Contact Vicky Schneider; vicky@ebi.ac.uk
Deadline for applications March 2012
Special requirements A first degree in a life science or related subject; excellent written English and a desire to learn how to make the most of biological data. We are especially interested in recruiting interns with an interest in structural biology, protein sequences and proteomics


 

Cheminformatics and Metabolism Team – Christoph Steinbeck

 

Placement duration Placements typically last 4-6 months
Contact Christoph Steinbeck; steinbeck@ebi.ac.uk
Deadline for applications Open until further notice
Special requirements All applicants should have a good computational background. See also the individual project descriptions
Group page www.ebi.ac.uk/steinbeck
Links http://wiki.github.com/kemia/kemia/
http://rguha.net/cinftmp/04_brian_gilman.pdf

The Steinbeck group offers computational student projects embedded within the Services and Research team. All students are supervised by experienced staff members and have access to a broad array of local experts for the technologies used. All applicants should have a good computational background. The following projects are currently on offer:

Automatic Structure Diagram Generation (SDG)

In chemoinformatics it is often necessary to create 2D coordinates for compounds which either have wrong coordinates or none at all. This task is difficult because on the one hand the algorithm needs to lay out arbitrary structures, but on the other hand there are certain conventions on how particular cases should be handled. In this project, the student would work on the existing code for SDG in the Chemistry Development Kit (CDK) and improve it with respect to e. g. handling of stereochemistry, deterministic layout, IUPAC-conforming alignment of final structure (major ring system/largest chain horizontally placed) and globally optimised layout. This requires good programming skills in general, best in an object-oriented fashion, and a basic command of the Java language. The project would include assessment of the literature with respect to standards, specification of the requirements and implementation of a solution.

Kemia Javascript editor

We are looking for someone to contribute to Kemia, a pure Javascript editor for editing 2D chemical structures and reactions. Kemia uses the Google Closure library extensively. It is an open source project (shared on Github) to which our group is contributing. The editor is still to be finished, and many features could be added in the future. A student or visitor could work on implementing cheminformatics algorithms in Javascript or work on the GUI aspects of the editor.

Portal prototype biology/chemistry

We are interested in mining biological resources which reference our source database Chemical Entities of Biological Interest. ChEBI is a dictionary and ontology of small molecules. We would like to use ChEBI identifiers as a means to investigate biological knowledge stored in our sister databases but not easily visible to our users. One such example could be which species does a specific molecule exist in or whether a molecule occurs at pH 7. This project would involve firstly learning about the different resources and what information they have, then defining what information would be useful for users. The technical implementation would require a system which would query each data source and display the relevant information within a web interface. Different interfaces will be built for user testing. Such a project would require a 6 month internship with good Java skills.

Ontology visualisations

We would like to investigate different ontology visualisation methods to best harness the ChEBI ontology. ChEBI is a dictionary and ontology of small molecules. The ChEBI ontology is quite in depth and detailed for the average user to comprehend. Hence, we would like to develop prototypes which will simplify our visualisation of the ChEBI ontology. Each prototype will then be user tested and further alterations will be required to refine the results. Such a project would require a 4 month internship and preferably some programming skills.


 

ChEMBL Team – John Overington


Placement duration Functional Genomics Team
Contact

John Overington; jpo@ebi.ac.uk

Deadline for applications

Open until further notice

Special requirements

Good computer knowledge in a Linux-type environment

Group page

www.ebi.ac.uk/chembldb/index.php/group/research

 

Current projects include:


1) ChEMBL is a database containing bioactivity data on drug-like  molecules. We are interested in analysing the distribution of aromatic  rings and molecular frameworks within the database and to investigate  whether the occurrence of these molecular fragments are related to  activity at specific protein targets. A good knowledge of chemistry is  required and knowledge of statistical methods and pipelining tools would  be useful.


2) We are interested in characterising the target space of the  molecular targets in the ChEMBL database by using knowledge of the  properties of compounds that bind to specific targets. A knowledge of  chemistry and biology is needed. Experience in manipulating large  datasets and statistical analysis would also be useful.


3) The ChEMBL database is a rich source of pharmacological data. We are  interested in mining these data to gain insights into the history of the  development of drugs and pharmacological techniques. Of key interest is  the identification of bioassays of greatest therapeutic relevance. Such  a project would require a 4 month internship. Scripting skills (Perl,  Python, etc) would be required. Some knowledge of SQL and an  understanding of the fundamentals of pharmacology would be an advantage.


4) Enhancement of ChEMBLdb web interface:
ChEMBLdb is an online database of information on the properties and activities of drugs and drug-like small molecules and their targets. We are interested in extending the capabilities of the web interface to our large SAR (Structure Activity Relationship) database. A good knowledge of web and database programming is required, development and use of novel visualisation methods would greatly advantageous.


5) Protein structure analysis of drug target domains:
We are interested in extending the annotation of our drug targets to include Pfam and structural domain coverage. Experience of sequence searching strategies and structural bioinformatics is required.


Proteomics Services Team – Henning Hermjakob

 

Placement duration Negotiable, ideally 6 months
Contact

Henning Hermjakob; hhe@ebi.ac.uk

Deadline for applications

Open until further notice

Special requirements

All applicants should have solid knowledge of Java and relational databases. It is advantageous to have domain-specific knowledge in molecular biology. Prior knowledge of proteomics is not essential.

Group page

www.ebi.ac.uk/proteomics/

 

Computational projects will usually implement new features for existing database systems, in particular the IntAct and PRIDE databases. The available projects range across a broad spectrum, from data analysis, evaluation, and statistics, to web interfaces and data visualisation. Projects will always be based on our open source, production quality database applications, and will contribute to the publicly accessible systems.

The following 2011 publications all result from a traineeship or visit in the Proteomics Services Team and have the trainee/visitor as first author:

  1. Ndegwa N, et al. Critical amino acid residues in proteins: a BioMart integration of Reactome protein annotations with PRIDE mass spectrometry data and COSMIC somatic mutations.
    Database (Oxford). 2011 Oct 23;2011:bar047.
  2. Villaveces JM, et al. Dasty3, a WEB framework for DAS. Bioinformatics.
    2011 Sep 15;27(18):2616-7. Epub 2011 Jul 28.
  3. Griss J, et al. Published and perished? The influence of the searched protein database on the long-term storage of proteomics data. Mol Cell Proteomics.
    2011 Sep;10(9):M111.008490.
  4. Salazar GA, et al. DAS writeback: a collaborative annotation system.
    BMC Bioinformatics. 2011 May 10;12:143.
  5. Gel Moreno B, et al. easyDAS: automatic creation of DAS servers.
    BMC Bioinformatics. 2011 Jan 18;12:23.

Quality control and visualisation of proteomics data in the PRIDE database

PRIDE holds proteomics data, acquired by mass spectrometry and is maintained by the Proteomics Services team. We have opportunities for Masters student projects, where the goal is to visualise summary and metadata, so that users get a quick idea of the quality of their data and can compare their data with other PRIDE experiments.


 

Saez-Rodriguez Research Group – Julio Saez-Rodriguez

 

Placement duration Typically at least 4 months, shorter placements in exceptional cases
Contact

Contact us at internships-sbm@ebi.ac.uk. Please check our projects at http://www.ebi.ac.uk/saezrodriguez/research.html, and explain in your application why you are interested in one or more of our research interest. Non-specific applications without this expression of interest will not be considered.

Deadline for applications

Open until further notice

Special requirements

At least some programming experience is expected, preferably R, Python, or Java. Biology knowledge is in not always required, but advantageous.

Group page

www.ebi.ac.uk/saezrodriguez/

We are broadly interested in how the dynamics of signal transduction, mediated for example by protein post-translational modifications, ultimately influence cell fate decisions. We build predictive mathematical models using high-throughput experimental data collected after applying many different perturbations to the pathways of interest to get at the underlying network structure. Specifically, research in our group aims to combine statistical methods with models describing the mechanisms of signal transduction either as logical or physico-chemical systems. We then use these models to better understand how signalling is altered in human disease and predict effective therapeutic targets.


Projects connected to our ongoing projects (http://www.ebi.ac.uk/saezrodriguez/research.html) are frequently available, can range from methods development to specific applications, but in most cases entail a bit of both. 


Computational Systems Neurobiology Group – Nicolas Le Novère

 

Placement duration 3-9 months
Who should I contact about this internship?

Camille Laibe; camille.laibe@ebi.ac.uk

What is the deadline for applying for this internship?

Open until further notice

Special requirements

Listed separately for each project

Group page

www.ebi.ac.uk/compneur-srv/

 

Curation of Biochemical models
BioModels Database is the reference resource for mathematical models of biological interests encoded in SBML. One of the great strengths of the resource is to provide models which are fully curated and annotated, and therefore trustworthy. These models are easier to reuse, exchange and convert to other representations.
The aim of this project is to improve the quality of the models we distribute, as well as encode new ones, whilst working alongside our team of curators. This has proved in the past to be the best possible training in computational systems biology, and is the perfect preparation for a PhD involving mathematical modelling of biological processes.
The post-holder will have university-level experience in numerical analysis, a good background in biology, and some familiarity with bioinformatics and/or modeling software.
Our other projects are currently full, but we will consider applications from students who would be happy to start after September 2011. Please email Camille (see table) for more information.


 

UniProt Group – Rolf Apweiler

 

Placement duration 2-8months
Who should I contact about this internship?

Maria Martin; martin@ebi.ac.uk

What is the deadline for applying for this internship?

Open until further notice

Special requirements

Good computational background, including the ability to program in Perl, Java or another common bioinformatics language. Biology knowledge is not required but advantageous

Group page

www.ebi.ac.uk/uniprot/



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