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Current Vacancies

Post-Doctoral Research Associate: The Evolutionary Ecology Group

From Jobs at the University of Cambridge. Published on Feb 05, 2016.

We are looking for a bioinformatician/population geneticist to work with Dr Andrea Manica on a project investigating past demography in humans. This ERC funded post is available for up to 6 months, with a start date of 1 March 2015.

Details of Dr Manica's research may be found here: http://www2.zoo.cam.ac.uk/manica/index.htm

This project focuses on reconstructing the past demography of anatomically modern humans, as part of an ERC project looking at the effect of natural selection in humans. The successful candidate will be involved in analysing data from modern and ancient genomes to better reconstruct the out of Africa expansion and understand the processes that led to the diversification of populations. The project will most rely on data already available, but data collection (mostly ancient DNA) might also be possible.

Fixed-term: The funds for this post are available for up to 6 months.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF08292 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Research Associate (Fixed Term)

From Jobs at the University of Cambridge. Published on Feb 03, 2016.

A postdoctoral position funded by Alzheimer's Research UK is available for up to 1 year in the research group of Dr Isabel Palacios, Department of Zoology, University of Cambridge, in collaboration with Dr FJ (Rick) Livesey.

The post-holder will work on investigating the role of motor proteins in a human neuronal cell model of Alzheimer's Disease: a new drug discovery target?

In this study, we aim to analyse the role of kinesins in a neuronal cell model derived from familial Alzheimer's Disease patients

Fixed-term: The funds for this post are available for up to 12 months.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF08259 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Research Associate - Climate Modelling (Fixed Term)

From Jobs at the University of Cambridge. Published on Jan 29, 2016.

We are looking for a climate modeller to work with Dr Andrea Manica and Dr Andrew Friend (Dept. of Geography) on a project investigating the role of past climate on human adaptation. This ERC funded post is available for up to 50 months, with a start date of 1 April 2015.

Details of Dr Manica's research may be found here: http://www2.zoo.cam.ac.uk/manica/index.htm

Details of Dr Friend's research may be found here: http://www.geog.cam.ac.uk/people/friend/

This project focuses on investigating the effect of natural selection in humans, using spatially explicit models that are informed by climate and vegetation reconstructions through time. The successful candidate will be involved in generating paleoclimate and paleovegetation reconstructions and work with population geneticists to use this information to quantitatively inform models of human evolution.

Duties will include setting up and running global paleoclimatic models using CESM; running paleovegetation reconstructions; potentially modifying CESM/vegetation models to allow for human/environment interactions; interacting with archaeologists and geneticists to help result interpretation; and the preparation of manuscripts for publication.

Required experience / knowledge for the position

Essential:

A PhD in climate modelling, or closely related subjects.

Advanced programming skills in Fortran 90/95/2003.

Experience running GCM

Willingness to interact with specialist from other fields, such as archaeology and genetics

Ability to organise time, plan ahead and to work effectively independently.

Good data handling and data analysis skills.

Good communication skills (written and oral).

Ability to work in a team and strong inter-personal skills.

Desirable:

Experience running CESM

Experience with setting up and modifying CESM (or an equivalent climate model).

Background knowledge (e.g. from degree courses) of archaeology or anthropology.

Experience with vegetation models.

We will interview during week beginning 7 March 2016

Fixed-term: The funds for this post are available for up to 50 months.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF08219 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Research Associate: Evolutionary Ecology Group

From Jobs at the University of Cambridge. Published on Jan 29, 2016.

We are looking for a bioinformatician/population geneticist to work with Dr Andrea Manica on a project investigating localised selection in humans. This ERC funded post is available for up to 50 months, with a start date of 1 April 2015.

Details of Dr Manica's research may be found here: http://www2.zoo.cam.ac.uk/manica/index.htm

This project focuses on investigating the effect of natural selection in humans, using spatially explicit models that are informed by climate and vegetation reconstructions through time. The successful candidate will be involved both in the development of new approaches to test for selection and in their application to humans (and potentially other species).

Duties will include: collating and curating genomic data, both from the literature and ongoing collaborations; Analysing genomic data for selection, both using standard population genetics approaches and CISGeM; interacting with archaeologists and climate modellers to help result interpretation; and the preparation of manuscripts for publication.

Required experience / knowledge for the position

Essential:

A PhD in bioinformatics, population genetics or closely related subjects.

Proficient programming for the analysis of genomic data, using python and/or R.

Willingness to interact with specialist from other fields, such as archaeology and climatology

Ability to organise time, plan ahead and to work effectively independently.

Good data handling and data analysis skills.

Good communication skills (written and oral).

Ability to work in a team and strong inter-personal skills.

Desirable:

Experience with selection scans on whole genomes.

Background knowledge (e.g. from degree courses) of archaeology or anthropology.

Advanced programming skills in C.

Experience in working with High Performance Computing facilities.

Fixed-term: The funds for this post are available for up to 50 months.

We will interview during week beginning 7 March 2016

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please quote reference PF08215 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.