Postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London

Title
==================================================== 
Postdoctoral position in Machine Learning and Computational Biology 

Position 
==================================================== 
Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London. 

Description of job and requirements
===================================================
The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position. 

The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology. 

Location of the position
===================================================
This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.uk/). 

Duration
===================================================
This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months. 

Salary
===================================================
The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance. 
The position is funded by a joint BBSRC/NSF grant. 
To apply go to: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0316-094 

Contact for correspondence
===================================================
For an informal discussion about the post, please contact Prof Alberto Paccanaro, alb...@cs.rhul.ac.uk. 
The Human Resources Department can be contacted with queries by email at: recru...@rhul.ac.uk. 
Please quote the reference: 0316-094. 

Deadline/closing date
===================================================
Closing Date:  Midnight, 10th April 2016. 

Interview Date: To be confirmed. 

The College is committed to equality and diversity, and encourages applications from all sections of the community. 

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Four open MARIE S. CURIE PhD positions at University of Deusto (Bilbao, Spain) in Artificial Intelligence, ITS, Seamless Positioning and Vehicular Communications

The DeustoTech Mobility Research Laboratory (http://goo.gl/FexrWt) from 
the University of Deusto (Bilbao, Spain) is looking for four full-time 
PhD students. The position is offered in the frame of the Horizon 2020 
Marie Sklodowska-Curie COFUND Programme (http://goo.gl/GeWHW7). The 
grant will have duration of 3 years under a regular employment contract 
with full social security coverage. The gross monthly salary (including 
social security, before taxes) will be approximately 2.600€. 

*LAST CALL: DEADLINE NEXT SATURDAY* 

*TOPICS* 

The topics for the positions are the following: 

     Topic 1. A social cooperative monitoring tool for the production of 
inclusive public spaces (https://goo.gl/eV68Vx). Contact: Alfonso 
Bahillo, at alfonso...@deusto.es 
     Topic 2. Communication and application protocols to support the 
coexistence of automated and conventional vehicles 
(https://goo.gl/lZmgzf). Contact:  Unai Hernández, at 
unai.he...@deusto.es 
     Topic 3. Ensemble Data Mining by SoftComputing Techniques in Big 
Data traffic environments (https://goo.gl/5rJYff). Contact: Enrique 
Onieva, at enrique...@deusto.es 
     Topic 4. Soft Computing and Big Data Mining Techniques for reliable 
travel time prediction (https://goo.gl/ZbXQH9). Contact: Antonio D. 
Masegosa, at ad.ma...@deusto.es 

*REQUIREMENTS* 

     - An official Master’s degree in Computer Science, or related field. 
     - An excellent academic record (grades of B or higher). 
     - Advanced command of English (minimum C1 or equivalent). 
     - Interest in research and ability to work both independently and 
in team. 
     - Early Stage Researchers rule: Applicants shall be in the first 
four years (full-time equivalent research experience) of their research 
careers and not yet have been awarded a doctoral degree. 
     - Mobility rule: At the time of the relevant deadline for 
submission of proposals, researchers shall not have resided or carried 
out their main activity (work, studies, etc.) in Spain for more than 12 
months in the 3 years immediately prior to the reference date. 
Compulsory national service and/or short stays such as holidays are not 
taken into account. 

For more details about requirements please visit  http://goo.gl/epFPKj. 

*PROCEDURE AND DEADLINE FOR APPLICATIONS* 

Applicants should forward their CV, academic transcripts, two reference 
letters, proof of writing skills (paper, article or thesis), a cover 
letter (max. 800 words), and a motivation letter (max. 800 words) about 
why they choose the topic, to the corresponding contact person indicated 
above. 

*THE DEADLINE FOR APPLICATIONS IS MARCH 19, 2016* 

A pre-selection will be made from amongst the submitted applications. 
The next step will involve an online application. 

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Health Data Scientist Position at University of Manchester

Health Data Scientist

The University of Manchester - Medical & Human Sciences, Institute of Population Health, Centre for Health Informatics

Location:	Manchester
Salary:	£30,738 to £37,768 per annum
Hours:	Full Time
Contract Type:	Contract / Temporary

Placed on:	8th March 2016
Closes:	8th April 2016
Job Ref:	M&HS-07879
★ View Employer Profile

Closing date : 08/04/2016

Reference : M&HS-07879

Faculty / Organisational unit : Medical & Human Sciences

School / Directorate : Institute of Population Health

Division : Centre for Health Informatics

Employment type : Fixed Term

Duration : until 31/01/2018

Location : Oxford Road, Manchester

Salary : £30,738 - £37,768 per annum

Hours per week : 1.0 FTE

The Centre for Health Informatics is seeking a research associate in health data science to drive innovation at the interface between biostatistics, machine learning, and software engineering. Working with clinical, IT and healthcare data experts, you will drive the modelling of health data using state-of-the-art methods from biostatistics and machine learning.

You will have previous relevant experience in academia or industry encompassing a strong mathematical element and significant statistical knowledge. You will be educated to PhD level in Statistics, Machine Learning, or related fields; have experience in the analysis of complex healthcare problems and datasets; and have significant statistical modelling and programming experience.  Candidates without a PhD will be considered if they have significant demonstrable research and/or industry experience and are in possession of a relevant higher degree.

Domain knowledge of statistical and machine learning analyses of health, biological or social datasets; epidemiological models and complex causal inference; and multi-level regression are highly sought.  Experience of training others in statistical analysis and machine learning are also desirable.

The Institute of Population Health is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The Institute received a Bronze Award in 2013 for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visithttp://www.mhs.manchester.ac.uk/about-us/athena/.

Enquiries about the vacancy, shortlisting and interviews:

Niels Peek, Reader in Health Informatics

Email: niels.peek@manchester.ac.uk

Tel: 0161 306 0674

General enquiries:

Email: hrservices@manchester.ac.uk

Tel: 0161 275 4499

Technical support:

Email: universityofmanchester@helpmeapply.co.uk

Tel: 01565 818 234

Date of external posting:     Tuesday 8 March 2016.

This vacancy will close for applications at midnight on the closing date.

Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button below to find out more.

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Machine learning developer (Pay: MXN $ 22,000 - MXN $ 29,000, Spanish, Mexico City)

This position is at the Coordination of Ecoinformatics of the National Commission for Knowledge and Use of Biodiversity of Mexico. The position requires good communication skills in Spanish. 

The National Commission for Knowledge and Use of Biodiversity (CONABIO) is a permanent interdepartmental commission, created in 1992. The mission of CONABIO is to promote, coordinate, support and carry out activities aimed at increasing awareness of biodiversity and its conservation and sustainable use for the benefit of society. CONABIO was conceived as an applied research organization, sponsoring basic research that generates and compiles information regarding biodiversity, developing capacity in the area of biodiversity informatics, and to act as a publicly accessible source of information and knowledge. We at Eco-informatics help CONABIO in its mission through the application of machine learning and statistical modeling techniques. 

We are looking for a machine learning and software developer to help us build tools for the study and monitoring of biological diversity in Mexico. A description in Spanish about the position can be found at the following link: 
http://www.conabio.gob.mx/web/pdf/trabajo/desarrollador_aplicaciones_aprendizaje.pdf  

Keywords: Machine learning, Aprendizaje de máquina, Desarrollo de Software, Software Development, Python 

--------------- Job description ----------------------- 


Main activities: 
  - Research, design, and implement algorithms 
  - Develop machine learning workflows 
  - Write data pre-processing scripts (for text, image, tabular, etc.) 
  - Train and test predictive models 
Additional activities: 
  - Develop web applications   
  - Document code 
  - Write user manual 

Desired qualifications: 
  - Degree in mathematics, computer science or related fields 
  - Experience with machine learning techniques (neural networks, decision trees, support vector machines) 
  - Experience with predictive models validation 
  - Strong programming skills (preferably Python and C / C ++) 
  - Experience developing web applications and software libraries 
  - Version control management (preferably Git) 
  - OS: Linux, Mac 
  - Software: Docker, virtualenv 

Net salary: MXN $ 22,000 - MXN $ 29,000 (according to experience) 

Candidates can send their CV to: 

Dr. Raul Sierra 
Ecoinformatics Coordinator, CONABIO 

raul.sierra (@) conabio.gob.mx

Paid-Internship in Computer vision / deep learning, big data, Tripnester France and USA

Computer vision / deep learning, big data Internship 

Our company 
Tripnester is a dynanamic and International young startup driven by the applied research 
and techniques of computer vision, multimedia information processing and artificial 
intelligence. We focus on improving your next-generation experience in online travel 
market, in collaboration with established international market leaders. Tripnester is 
located both in France and USA. 

Key Functions 
We are looking to recruit 6-months interns. The qualified candidate will engage in 
developing and implementing the state-of-the-art technology of image/video processing 
and computer vision. Under the supervision of a former Telecom Paris Tech Ph D/Dr 
(Computer Vision / Deep Learning), he will be responsible for: 
1. Investigate the current or new algorithms of image/video processing and computer 
vision based on deep learning 
2. Investigate the current or new algorithms of image and video indexing 
3. Implement the algorithms in preferred programming language 
4. Deploy the system in our cloud platform 
5. Develop new models, new data structures and other necessary web-based programs 
for analyzing image/video and user big data 
6. Propose global approach for scalability 

Preferred Qualifications: 
1. Education: Master 2, or Engineer in computer science, mathematics and other related 
majors, with the specialization in image processing, computer vision or multimedia 
processing 
2. Master the programming languages of Python and C/C++ 
3. Familiar with OpenCV, Numpy, Scikit-image and other libraries 
4. Familiar with the knowledge and toolkits of deep learning 
5. Familiar with Big Data technologies (NoSQL, Hadoop,..) 
6. Familiar with NVidia CUDA and parallel computing 
7. Familiar with the cloud computing platform: Microsoft Azure, AWS ... 
8. Strong team player and excellent communication skills 
9. English (French is not required) 

Profile : 
Master or Bac+5 (école d’ingénieur), you like technology and you understand 
marketing issues within competitive markets 

Duration: 6 months. ASAP. 
Location: Paris 
Monthly Salary : 700€ (+ performance bonus at the end) 
Contact : Mr M. AUGIS / mau...@tripnester.com / cell: +33 6 46 23 17 16 
Job reference: Intern-00001

Postdoc positions in computational transport properties and spectroscopy, Shenzhen University, China

Multiple 2-year fixed term postdoc positions are available in the young group of Dr. Wu Li (http://ias.szu.edu.cn/article/681) in Institute for Advanced Study, Shenzhen University, China. The group focuses on theoretical especially computational research on electrical, thermal and thermoelectric transport, electron-phonon coupling, phonon physics, spectra (Raman, optical absorption...) simulation, etc.

Applicants should have a PhD in physics, material science, energy, or chemistry, with some programming experience.

For application, please send CV and selected publications to wu.li.phys2011@gmail.com

Positions are open until filled.

Salary/benefits:

Net income is no less than 220,000 Yuan/year and consists of five parts:

• (a)120,000 Yuan/year (tax-free) postdoc allowance from Shenzhen municipal government (passing the middle- and final- term evaluation is the required qualification).

• (b)2,240 Yuan/month (tax-free) housing allowance.

• (c)6,166 Yuan/month (5,152 Yuan/month net) salary.

• (d)833 Yuan/month housing fund including employer’s contribution.

• (e)2,000 Yuan/year late meal allowance.

Cheap off-campus accommodation is provided.

About the institution:

The Institute for Advanced Study (IAS) in the Shenzhen University is a newly established institution, consisting both undergraduate and postgraduate education and emphasizing on interdisciplinary teaching and research. The institute is a special academic zone inside the university, but its operations and managements will follow the established rules and procedures used in most of the institutions in the world, independent of the current system in the university.

Shenzhen University, China Home page:

http://www.szu.edu.cn/2014/en/

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JOBs University of Peshawar - Last Date Approaching (March 10, 2016)

Administrative Situations Vacant University of Peshawar

Last Date to Apply: 10 Mar 2016

Description:

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 University official website

• http://www.uop.edu.pk/jobs/

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