Careers

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Careers2018-08-07T10:19:23+00:00

Jobs at Synbiosis

Synbiosis is a world leader in automated colony counting & inhibition zone sizing systems. Based in Cambridge, we offer a friendly, exciting work environment.

Applications Specialist

Synoptics Ltd is a dynamic, expanding company supplying advanced digital image processing and analysis systems to international markets

Role

We are looking for an Applications Specialist for the Microbiology division of Synoptics, Synbiosis. Synbiosis specialises in automated colony counters and zone sizing systems for the industrial and clinical sectors.  In this challenging and rewarding position the successful candidate will play an important role in training and managing end users while supporting the sales team from a technical perspective.

Key responsibilities

  • Key contact with new and existing customers
  • Ability to demonstrate, install and validate products with external customers
  • Provide clear and concise training
  • Support Sales team with commercial and technical assistance
  • Provide pre-and-post sales support
  • Participate in implementing new products onto the market
  • Follow-up and validation of new applications and new products in collaboration with R&D department
  • Support other teams on a cross-functional basis

Skills required

  • 2-3 years’ experience working in a Microbiology Environment
  • PowerPoint, Excel and Word
  • Strong communication skills
  • Attendance at exhibitions, workshops and presentations at scientific conferences
  • Travel as and when needed

If you are interested in this exciting role, please email your CV and details to kate@synbiosis.com

PhD Studentship: Rapid bacteria colony counting algorithm development

Programme description

The University of Hertfordshire invites applications for a PhD student to join our Hertfordshire Knowledge Exchange Partnership (HKEP) scheme. This four-year project requires a PhD student to undertake a collaborative research project with support from University academic supervisor(s) and company scientists. The project begins with a Knowledge Exchange year in which you are based in the company. Successful completion of the first year will require the submission of a scientific report, research proposal and an oral examination. The successful candidate will then begin a three-year PhD research project in an area of interest to the company.

Start date: 1st October 2018
Duration: Four years
Company: Synoptics Limited, Cambridge
Stipend: Starts at £15,220 per annum plus approved expenses. All students will also receive a maximum contribution towards their individual tuition fees that is equivalent to the Home/EU student fee in each year of registration.

Project Overview:
Bacterial colony counting is widely used in both industry and research laboratories in a wide range of applications; these include quality control, environmental monitoring, immunological studies and medical testing. The number of colonies on an agar plate can be used to estimate the number of viable bacteria (total viable count) present in a test sample. This can then be used as an indicator of the cleanliness of a surface, the sterility of a product or the presence of a bacterial infection.

Traditionally, colony counting was performed manually or using a light box which was time-consuming and prone to human error. The advent of automated colony counters, which use sophisticated algorithms to detect and count colonies based on shape or colour, has overcome these drawbacks. The popular technologies exploited for bacteria colony counting are edge detection techniques for image processing.

However, a number of challenges remain in automated colony counting: identifying and splitting touching colonies, background noise, colony density variance etc. Hence, more advanced and sophisticated techniques need to be developed to cope with these issues while taking efficiency into account. The aim of this project is to propose and implement new algorithms which are robust to noise for rapid bacterial colony detection and counting.

Supervisor Information
• Dr Na Helian
• Dr Yi Sun
• Dr Peter Lane
• Mr Richard Hopwood

Eligibility
The successful candidate’s CV will need to demonstrate the following:

Essential
• Educated to degree level or to an equivalent standard in a computer science subject;
• Experience of integrated programming and databases from academic studies or work experience;
• competence in process model and data analysis as a substantial component of undertaken studies.
• Ability to work on own initiative;
• Communication and writing skills;
• Good IT skills, including MS Office;
• Effective team worker;
• Ability to work to tight deadline, dealing with conflicting priorities and work under pressure;
• Willingness and ability to work flexibly and to adapt to changing demands

Desirable
• Upper 2nd class or above Undergraduate degree;
• Proven research ability;

Application Process
For further information and to apply for this role please email hsp@herts.ac.uk. The deadline for applications is 3rd September 2018.

Informal enquires should be addressed to Dr. Na Helian (n.helian@herts.ac.uk). Please note that applications sent directly to these addresses will not be accepted.

Interview Dates: 19th September 2018
If you have not heard within 3 weeks of the closing date, you have unfortunately been unsuccessful on this occasion.

Click here for further information.

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