Hello,

We have the following vacancy, ideal for recent PhD graduates or early
career post docs with an interest in applied Bayesian modelling/ Stan/
viral phylogenetic methods and developing new methods for HIV prevention
research. The project is embedded within the HIV Transmission Elimination
Initiative Amsterdam (HTEAM), meaning that there is a strong opportunity to
translate your research outputs into public health practice. It is also in
collaboration with me at Imperial and Professor Christophe Fraser at the
Big Data Institute in Oxford, so there is good opportunity to expand your
research network and interact with academics with different backgrounds.

Thank you and apologies for cross-posting,
Oliver

*Postdoc position in Statistics and Pathogen Phylodynamics*
Fulltime (40 hours per week) – based in Amsterdam

The position

The Amsterdam Institute for Global Health and Development (AIGHD) seeks a
talented researcher for a research project at the interface of Big Data,
Statistics, and Public Health.

You will join an international, multi-disciplinary team of scientists from
the Amsterdam University Medical Centers, the Amsterdam Institute for
Global Health and Development, the Amsterdam Health and Technology
Institute (Ahti) and Imperial College London to exploit emerging Data
Science technologies to address key questions in HIV prevention at the
local level. You will have the opportunity to develop statistical methods
for disease mapping and phylogenetic analysis of viral sequence data, to
apply these tools to novel data, to lead and present research output, and
to contribute to policy implications. You will benefit from regular
research visits to Imperial College London as well as the Big Data
Institute at the University of Oxford, and further your research network
across the boundaries of traditional disciplines.

The overall goal of this research project, with title “Roadmap to halt the
spread of HIV among migrants in Amsterdam”, is to gain insight in
transmission and acquisition of HIV, particularly among individuals with a
migration background in Amsterdam.

The post holder will have strong quantitative skills, and a keen interest
in expanding skills to use Bayesian modelling, branching process theory,
and/or structured coalescent approaches during the project, as well as
harness recent software developments brought by the Stan software and/or
Tensorflow.

The study is embedded in the HIV Transmission Elimination AMsterdam
(H-TEAM) Initiative, with a view on translating research outputs into HIV
intervention practices as rapidly as possible. More broadly, the outcomes
will be relevant for the UNAIDS cities initiative to fast-track elimination
of HIV transmission (http://www.fast-trackcities.org/).

The position is funded by the Dutch AIDS Fonds (grant number: P-29701) for
a period of 18 months (fulltime). A substantial part of the work is
performed in collaboration with Dr. Oliver Ratmann at the Statistics
Section within the Department of Mathematics at the Natural Science faculty
at Imperial College in London, with further input from Professor Christophe
Fraser from the Big Data Institute, Li Ka Shing Centre for Health
Information and Discovery, at the University of Oxford.

The candidate is therefore expected to travel to and spend varying periods
of time in the UK on a regular basis.

Main tasks & Responsibilities

-  Taking initiative in the planning of research;
-  Identifying and developing suitable techniques for molecular
epidemiological analyses, theoretical calculations and/or numerical
simulations;
-  Conducting molecular epidemiologic analyses and interpretation thereof;
-  Checking and ensuring the validity and reliability of data at all times;
-  Maintaining accurate and complete records of all findings;
-  Attending relevant meetings;
-  Presenting findings to colleagues and at conferences;
-  Drafting and submitting publications to peer reviewed journals; Drafting
and submitting abstracts to relevant conferences;
-  Preparing materials for presentation in oral and poster formats;
-  Contributing to report writing for submission to research sponsors ;
-  Contributing to bids for research grants;
-  Taking responsibility for organising resources and effective decision
making in support of research;
-  Attending relevant workshops and conferences as necessary;
-  Undertaking any necessary relevant training and/or development;
-  Undertaking any other (administrative) activities supporting the
aforementioned research project;
-  Directing/Supervising the work of PhD, undergraduate and postgraduate
students

Requirements

The ideal candidate:

-  Holds a PhD, or is about to obtain a PhD, or equivalent level of
professional qualifications and/or experience in statistics, mathematics,
physics, evolutionary biology, epidemiology, computer science or a closely
related discipline;
-  Desires to develop and apply statistical methodology to questions of
substantive public health importance;
-  Has a broad and strong background in statistical modelling;
-  Has excellent programming skills in R;
-  Is able to identify, develop and apply new mathematical concepts,
techniques and statistical methods;
-  Is experienced with software development for statistical computing in R
or python;
-  Has basic skills in using the UNIX command line and version control
(e.g. github);
-  Is willing to travel to and spend varying periods of time in the UK as
part of the project;
-  Is able to organise and prioritise own work with minimal supervision and
in response to deadlines;
-  Is experienced in carrying out original quantitative research of high
quality, independently and in a team.

AIGHD offers

AIGHD offers an excellent job opportunity in a cutting edge working
environment in global health and development and a salary in line with
prevailing sector standards. AIGHD has a fulltime workweek of 40 hours, 25
days leave annually, an attractive collective pension plan and a very
comprehensive collective health insurance scheme. The position is based at
the office of AIGHD in Amsterdam, with varying periods of time spent in the
UK.

Please send your application (including CV and letter of motivation) to HR
Support at AIGHD [log in to unmask]

Deadline: 9th of September 2019.

For further info contact: [log in to unmask] or
[log in to unmask]

About AIGHD

The Amsterdam Institute for Global Health & Development (AIGHD) is a
research and education institute with a mission to address challenges in
global health and development by conducting collaborative interdisciplinary
research, generating insights and solutions, and educating the next
generation of global health leaders.

AIGHD conducts collaborative, interdisciplinary research prioritizing
infectious disease elimination, antimicrobial drug resistance, chronic care
& ageing, urbanization & health, health markets, and economics of human
development. It aims to educate and inspire the next generation of global
health leaders at undergraduate, post-graduate and professional levels to
shape a healthier and more prosperous future for all. AIGHD aspires to
accelerate progress on global health objectives by sharing knowledge and
insights with global agencies, governments, NGOs, and the scientific
community.

No (recruitment) agencies please

-- 
+44 7577 026 978 (mobile)
+44 20 759 41869 (office)

Oliver Ratmann, PhD
Lecturer in Statistics
Imperial College London, Department of Mathematics
Huxley Building
180 Queen's Gate
London SW7 2AZ
UK

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