This is an opportunity to spend 3 months with ITECHO HEALTH as a Machine Learning Research Intern.

Note the tight deadline: 11:59 hours Wednesday 23rd October 2019.

About ITECHO HEALTH

Website: http://www.itechohealth.com/

Itecho Health is a young, dynamic company established to develop digital health applications in long-term or stable conditions and is led by clinicians and experts in technology and business. We have created Ascelus^TM – a fully integrated platform with patient and clinician user applications and AI/machine learning module interconnected with existing hospital IT systems to improve management of long-term conditions. This aims to benefit patients (increased convenience and empowerment), commissioners (reduced costs) and hospitals (increased capacity for clinicians). This approach has been proven successful in 12,000 patients with stable HIV across five hospitals in Europe. We are currently working on three main research projects:

1. To develop our platform for use in fertility medicine – to improve fertility outcomes in sub-fertile patient populations, through personalised prescription of lifestyle factors, predominantly physical activity and exercise. The AI system will integrate patient data and NHS Trust clinical records to develop optimal lifestyle interventions and advice.
2. To develop our platform for management of patients with Monoclonal gammopathy of undetermined significance (MGUS), that will provide a more convenient and time efficient way of managing their condition. The project aims to implement Ascelus^TM, allowing patients to record symptoms, receive clinical advice, test results, information on medication, and make appointments on their mobile device. This will reduce the need for face-to-face appointments and free up clinician time for more complex patients.
3. To develop our platform to assist in the management of men with advanced prostate cancer. Men with advanced prostate cancer currently have to attend out-patients up to 15 times per year and our technology may be able to half the number of visits and replace these with a mobile interaction and video conferencing with the existing specialist team.

We are based in Nexus, a newly built research and innovation centre in the heart of the University of Leeds campus: https://www.nexus.org.uk/ 

What you will do

The project looks at the relationship between lifestyle factors, such as nutrition and exercise, and fertility. Specifically, we are looking at three populations: patients with polycystic ovarian syndrome, secondary amenorrhea or patients undergoing IVF treatment. The goal is to develop our digital health platform, Ascelus^TM, to help improve fertility outcomes via personalised exercise, nutritional and behavioural interventions, which are constantly adjusted through our AI interface, and is supported by scientific research.

Key roles and responsibilities:

• Develop behavioural and psychological advice and treatment based on published evidence, to support the exercise and nutrition team.
• Develop ways to improve motivation of patients through the platform to maximise impact.
• Lead the user experience market research – including patient recruitment, patient observation/interviews and prototype development and modification based on user experience laboratory (Ux lab) involvement (it is our understanding that this approach has not previously been used with patients/clinicians)
• Potential for scientific publication in the field of Social Sciences

Ideal candidate

The characteristics listed below are ideally required for the role.  However, if you are not sure that you match all the criteria but you are interested in the placement, please see contact details below to have a discussion before applying.  (Don’t delay, as it is a tight application deadline).  

• Experience undertaking scientific or business research
• Postgraduate studying a core social science such as psychology
• Experience studying behavioural or psychological theories
• Experience of publication/presentations to a range of audiences.
• Passion for public health and health improvement

When

Ideally, internships will take place for 3 months, sometime between November 2019 and April 2020.  It may be possible for the dates to be flexible – Please see contact details below if you need to discuss.

Where

You will be based at the ITECHO HEALTH offices within Nexus on The University of Leeds campus, within a short walk from Leeds train station.

GET DIRECTIONS

How to apply

Deadline: 11:59 hours Wednesday 23rd October 2019

Note the tight deadline: DO NOT DELAY in applying.  

ITECHO HEALTH applic form – Fertility Outcomes – DOWNLOAD HERE

Return your completed application form to:

Joanne Howorth | Engagement Manager: Talent and Skills | Nexus | Research and Innovation Service | 

Email: j.howorth@leeds.ac.uk

Tel: 0113 343 2706

Contact

For enquiries concerning the details of the placement – duties, dates, general discussion about suitability, etc – please contact Joanne Howorth as above in the first instance.  She will direct you to the relevant person to speak to in the ITECHO HEALTH team.

This is an opportunity to spend 3 months with ITECHO HEALTH as a Machine Learning Research Intern.

Note the tight deadline: 11:59 hours Wednesday 23rd October 2019.

About ITECHO HEALTH

Website: http://www.itechohealth.com/

Itecho Health is a young, dynamic company established to develop digital health applications in long-term or stable conditions and is led by clinicians and experts in technology and business. We have created Ascelus^TM – a fully integrated platform with patient and clinician user applications and AI/machine learning module interconnected with existing hospital IT systems to improve management of long-term conditions. This aims to benefit patients (increased convenience and empowerment), commissioners (reduced costs) and hospitals (increased capacity for clinicians). This approach has been proven successful in 12,000 patients with stable HIV across five hospitals in Europe. We are currently working on three main research projects:

1. To develop our platform for use in fertility medicine – to improve fertility outcomes in sub-fertile patient populations, through personalised prescription of lifestyle factors, predominantly physical activity and exercise. The AI system will integrate patient data and NHS Trust clinical records to develop optimal lifestyle interventions and advice.
2. To develop our platform for management of patients with Monoclonal gammopathy of undetermined significance (MGUS), that will provide a more convenient and time efficient way of managing their condition. The project aims to implement Ascelus^TM, allowing patients to record symptoms, receive clinical advice, test results, information on medication, and make appointments on their mobile device. This will reduce the need for face-to-face appointments and free up clinician time for more complex patients.
3. To develop our platform to assist in the management of men with advanced prostate cancer. Men with advanced prostate cancer currently have to attend out-patients up to 15 times per year and our technology may be able to half the number of visits and replace these with a mobile interaction and video conferencing with the existing specialist team.

We are based in Nexus, a newly built research and innovation centre in the heart of the University of Leeds campus: https://www.nexus.org.uk/ 

Project background

Breakthrough advances in AI and machine learning (ML) have led to ambitious visions of how new systems can help revolutionize healthcare. These range from new approaches to understanding health risks, predicting disease progression, and creating personalized health interventions for improved patient outcomes; through to the development of innovative tools to support the practices of healthcare professionals, and reduce spending. To realize this tremendous potential requires the development of machine learning applications that are effective, trustworthy and implementable in real healthcare contexts. Itecho Health and key partners want to build a strong intelligence team to tackle this challenging ambition:– a multi-disciplinary group of machine learning researchers, social scientists, designers and engineers. As a Machine Learning Research Intern, you will be part of a team that develops human-centred machine learning solutions that can transform care pathways and improve health outcomes.

During the internship you will be working on all three project areas, with a main focus on improving and adapting the Ascelus^TM platform. Specifically, you will aid in the development of machine learning and AI interfaces for each project.

What you will do

During the internship you will be working on all three project areas, with a main focus on improving and adapting the Ascelus^TM platform. Specifically, you will aid in the development of machine learning and AI interfaces for each project.

Key roles and responsibilities:

• Work with an interdisciplinary team around healthcare applications of machine learning.
• Develop novel machine learning models and algorithms which consider human (e.g. clinicians, patients) interaction with these algorithms.
• Design, implement and evaluate machine learning experiments.
• Write-up findings in technical documents and peer-reviewed publications.
• Present your work to a range of audiences.

Ideal candidate

The characteristics listed below are ideally required for the role.  However, if you are not sure that you match all the criteria but you are interested in the placement, please see contact details below

 to have a discussion before applying.  (Don’t delay, as it is a tight application deadline).  

• Have knowledge of machine learning models and algorithms.
• Be enrolled in a PhD program in the area of computer vision/machine learning, statistics, computer science or a related field.
• Have experience/interest in healthcare.
• Experience of disseminating work through publication and presentation.
• Have strong programming skills.
• Have experience in software development practices.

When

Ideally, internships will take place for 3 months, sometime between November 2019 and April 2020.  It may be possible for the dates to be flexible – Please see contact details below if you need to discuss.

Where

You will be based at the ITECHO HEALTH offices within Nexus on The University of Leeds campus, within a short walk from Leeds train station.

GET DIRECTIONS

How to apply

Deadline: 11:59 hours Wednesday 23rd October 2019

Note the tight deadline: DO NOT DELAY in applying.  

Download ITECHO HEALTH Machine Learning Intern application form HERE

Return your completed application form to:

Joanne Howorth | Engagement Manager: Talent and Skills | Nexus | Research and Innovation Service | 

Email: j.howorth@leeds.ac.uk

Tel: 0113 343 2706

Contact

For enquiries concerning the details of the placement – duties, dates, general discussion about suitability, etc – please contact Joanne Howorth as above in the first instance.  She will direct you to the relevant person to speak to in the ITECHO HEALTH team.

Singer are now looking to fulfill placements for 3 month periods starting in May 2020.

CLICK HERE TO DOWNLOAD DETAILS

Note: Certain times of year are more competitive than others, and early application is suggested to avoid disappointment.

How to apply

Please apply through the Singer website at: www.singerinstruments.com/jobs/

Click the link below to access the PIPS opportunity details and information about how to apply:

2019-Cambridge-Cancer-Genomics-Software-Engineer@Aug19

Note that the funding offered by Cambridge Cancer Genomics is in addition to your standard PIPS allowance for travel and accommodation (£2,050 @ the time of writing).

Click the link below to access the PIPS opportunity details and information about how to apply:

2019-Cambridge-Cancer-Genomics-Bus-Develt@Aug19

Note that the funding offered by Cambridge Cancer Genomics is in addition to your standard PIPS allowance for travel and accommodation (£2,050 @ the time of writing).

The Royal Society of Biology (RSB) has two internship positions available for current PhD students who are funded by AHRC, BBSRC, EPSRC, ESRC, MRC, and NERC.

Successful applicants will spend three months working at the RSB in Central London in 2020. Start and end dates can be negotiated as appropriate.

More information can be found on the RSB website.

Closes: 12 August 2019

Eleanor Kirby-Green MRSB

Education Policy Officer

Tel: 020 3925 3463

www.rsb.org.uk

Royal Society of Biology | 1 Naoroji Street | London | WC1X 0GB

Follow us on Twitter @RoyalSocBio Find us on Facebook

Advert for UKRI-BBSRC PIPS intern – Alternative Protein Sources in the Food System

1. Summary 

UKRI-BBSRC is recruiting for an enthusiastic and capable PIPS intern to lead a project on ‘alternative protein sources in the food system’. The successful applicant will gain experience on how research strategy and policy is developed and implemented, whilst developing transferable skills that can be used in their research, including synthesizing key information to inform different audiences, providing thought leadership in an interesting and emerging area, and presenting findings to senior members of UKRI-BBSRC, academia, industry, and policymakers.

2. Role of the PIPS Intern

The purpose of this proposed project is to understand future requirements for protein consumption and the opportunities for research and innovation to meet these requirements. Evidence will be collected through portfolio analysis, scoping relevant literature, and stakeholder engagement with industry, policymakers, and members of academia.

The process by which the project is conducted will be developed by the PIPs intern, with guidance and support from Senior Managers within the Capability and Innovation Doman, and the Research Strategy and Programmes in UKRI-BBSRC.

Outcomes of the project will be disseminated to Senior Leaders within UKRI-BBSRC and the Global Food Security programme, and will help to inform future BBSRC research strategy, shaping priorities in our three strategic priority areas: Sustainable agriculture and food, Renewable resources and clean growth, and An integrated understanding of health.

3. Experience gained on the project

• • Opportunity to provide thought leadership in an emerging area of research and innovation.
  • Synthesizing information to inform different audiences, including senior members of UKRI-BBSRC, academics, industry and policymakers.
  • Presenting work to senior academics, members of industry, and policymakers at Strategy Panel meetings.
  • Experience of cross team and organisation working work the Capability and Innovation Domain and the Strategy and Programmes Group within UKRI-BBSRC.
  • Experience of liaising with external stakeholders and grant holders
  • Further develop planning and project management skills, in order to meet deadlines

4. Background to the project

Food and drink contributes £31.1bn to the economy, and is the single largest manufacturing sector, larger than automotive and aerospace combined. The industry is of strategic importance in enabling the United Kingdom to meet the challenges of providing a nutritious, safe and sustainable supply of food to a growing and ageing population in a world with increasing scarcity of resources.

The sector is intensely competitive and, apart from a small number of large companies, it is dominated by small and medium enterprises (SMEs) operating on low margins.

In the context of an increasing world population, with an increasing demand for dietary protein further driven by the growth of the global middle class, maintaining global food security may require novel sources of dietary protein. Alternative proteins (protein sources that can act as substitutes for animal and aquaculture feed, and for traditional animal-based food) have garnered greater attention in recent years, with the formation of start-ups that are growing agricultural products directly from cell cultures, and SMEs using methanogenic organisms to create new sources of protein.

BBSRC released its Strategic Framework for Research in Agriculture and Food Security in 2017. The framework encourages strategically relevant research that will enhance UK and global food security by providing knowledge and evidence to farmers, food producers and manufacturers, retailers and consumers. Step changes in biological understanding of crops and farmed animals, and new disruptive technologies, will help address the agri-food challenges globally, whilst benefiting the UK economy by opening up new markets for exports.

It is unclear how this alternative proteins sector will develop in the next 5 to 10 years, and therefore BBSRC wishes to undertake horizon-scanning to predict the research and innovation needs associated with protein sources, and build on initial findings from the PIPs intern.

5. Application process

If you are interested in applying for the PIPS placement, please complete the attached application form and return it to pips@bbsrc.ukri.org by 23:59 on Monday 12^th August 2019.

Download Application Form Here

BBSRC will host Skype interviews on Thursday 15^th and Friday 16^th August 2019.

Applicants should be available to commence the placement from Monday 2^nd September 2019, although UKRI-BBSRC can provide a degree of flexibility in regards to the starting date. The PIPs placement will be for a duration of 3 months.

6. Key contacts in UKRI-BBSRC:  Dave O’Gorman – Senior Innovation Manager, Business Interaction Unit, Capability and Innovation Domain (David.OGorman@bbsrc.ukri.org)

Andrew Hellewell – Strategy and Policy Manager – Agriculture and Food Security, Research Strategy and Programmes (Andrew.Hellewell@BBSRC.ukri.org)

Professional Internship opportunity:

Shaping BBSRC’s impact and communications strategy for the Global Challenges Research Fund (GCRF)

 Within BBSRC’s Global Challenges Research Fund (GCRF) Hub,   there is an exciting opportunity for a Professional Internship for PhD Students (PIPS) placement to input into the development and delivery of BBSRC’s impact and communication strategy for GCRF. This interesting and challenging internship will provide an intern with insight into strategy development by the UK’s leading bioscience research funder and impacts of the UK’s Official Development Assistance (ODA) investment

Background to GCRF

The Global Challenges Research Fund (GCRF) was established in the 2015 Spending Review, to ensure that UK research takes a leading role in addressing the problems faced by low and middle income countries (LMICs). The GCRF deploys the UK’s world-class research capability to address the challenges faced by the Global South. It forms part of the UK Government’s pledge to allocate 0.7% of Gross National Income to ODA, with the primary goal of promoting the welfare and economic development of developing countries.

UKRI BBSRC and other Delivery Partners work collectively as well as through individual allocations to invest via GCRF.  Since 2016, UKRI BBSRC has invested its GCRF individual budget allocation through a wide-ranging portfolio of activities aimed at supporting the development of capacity as well as in providing the foundations for research partnerships.

As the first wave of GCRF investment comes to an end, we want to capture and communicate the impacts of this significant investment and consider potential future opportunities for BBSRC bioscience to contribute to tackling global development challenges (pending the outcome of future Government spending reviews).

 Role of the PIPS intern

We are looking for a PIPS intern to join BBSRC’s GCRF coordination hub, where they will work to support the development of forward strategy for potential future GCRF investment, as well as providing evidence to showcase the impact of BBSRC’s existing GCRF portfolio. This is a varied and interesting role working on a high profile funding stream. The intern will gain experience of BBSRC and wider UKRI strategy and policy development, as well as an understanding of the research for international development. They will:
Work with the GCRF Hub to develop the GCRF impact and communications strategy.

• Write case studies for publication for a range of audiences (including the general public, government, researchers) demonstrating the impact of BBSRC GCRF activities
• Carry out analysis of BBSRC’s GCRF portfolio of investments to inform future strategy development
• Input into the development of forward strategy for capture and communication of impact.

If you would like to apply for this PIPS placement, please complete the Application Form and return it to pips@bbsrc.ac.uk by September 13^th 2019. You should be available to start your placement in Late Autumn / early winter 2019.

Click here to download the Application Form

Questions on this placement can be directed to:

Dr Frances Medaney (frances.medaney@bbsrc.ukri.org) or

Dr Stephanie Williams-Blackwell (Stephanie.blackwell@bbsrc.ukri.org)