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For Companies At a Glance
- Tasks: Join a dynamic team to develop innovative software solutions in AI and GIS.
- Company: The University of Manchester, a leader in research and education.
- Benefits: Competitive salary, excellent pension scheme, and generous annual leave.
- Why this job: Make a real impact on cutting-edge projects while collaborating with experts.
- Qualifications: Experience in fullstack development, .NET, AI, and GIS is essential.
- Other info: Flexible working options and a supportive, inclusive environment await you.
The predicted salary is between 37694 - 46049 £ per year.
The University of Manchester has an exciting opportunity for a Research Software Engineer to join an interdisciplinary project team to help support the technical development of the £8m NERC funded Digital Solutions Programme. We are looking to appoint a Research Software Engineer with fullstack development experience using .NET and other technologies and with knowledge in Artificial Intelligence solutions and a keen interest in Geographic Information System (GIS) / GeoSpatial Software Development.
Responsibilities
- As a Research Software Engineer working on this programme, you will be a member of the Software Engineering team and work under the supervision of the Geospatial Software Architect to deliver software components for the development of the overall product as described by the Product Owner of the programme.
- Your core responsibility involves designing, modifying, and implementing software systems to meet specific research requirements.
- You will identify and apply software engineering concepts to practical designs, offering development expertise, consultancy, and guidance.
- The role encompasses software engineering and development, service development, problem solving for users, documentation creation, database engineering, data preparation and cleansing, community building, software installation and configuration, maintaining licensing compliance, ensuring compatibility with current architectures, and the adherence to regulatory standards, industry regulations, and organisational policies.
What you will get in return
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Our University is positive about flexible working.
Hybrid working arrangements may be considered.
Please be aware that due to the number of applications we unfortunately may not be able to provide individual feedback on your application. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews
Name: Richard Kingston
Contact: richard.kingston@manchester.ac.uk
General enquiries
Email: People.recruitment@manchester.ac.uk
Technical support 0161 850 2004
jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Research Software Engineer – AI and GIS in Manchester employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer – AI and GIS in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and GIS. Attend meetups or webinars, and don’t be shy about asking for informational interviews – you never know where a chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to .NET and GIS. This is your chance to demonstrate your fullstack development experience and how you can contribute to exciting projects like the Digital Solutions Programme.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with software engineering concepts and how you’ve tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Research Software Engineer – AI and GIS in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience with .NET and AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Show Your Passion for GIS: Let us know why you’re excited about Geographic Information Systems! Share any personal projects or experiences that demonstrate your interest in GIS and how it relates to software development.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your skills and experiences that make you a great fit for our team.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at The University of Manchester
✨Know Your Tech Stack
Make sure you’re well-versed in .NET and any other technologies mentioned in the job description. Brush up on your full-stack development skills and be ready to discuss how you've applied them in past projects, especially in relation to AI and GIS.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex software engineering challenges. Think about specific instances where you’ve designed or modified software systems to meet research requirements, as this will resonate with the interviewers.
✨Engage with the Team Dynamics
Since this role involves collaboration with academics and a broad user community, be ready to discuss how you work in teams. Share experiences where you’ve successfully collaborated with diverse groups, and highlight your communication skills.
✨Understand the Programme's Goals
Familiarise yourself with the NERC funded Digital Solutions Programme and its objectives. Being able to articulate how your skills can contribute to the programme will show your genuine interest and help you stand out during the interview.