The Global Knowledge Solutions (GKS) organization catalyzes the creation, transfer, and application of knowledge to ensure ITQ succeeds at its mission of driving internal and external innovation, developing differentiated technology, and engendering trust through food safety and quality.
We are seeking an intellectually curious engineer with strong mathematics and theoretical background who is eager to apply modern modeling and simulation methodologies to solve complex and challenging food design and processing problems. You will work with engineers and scientists to design, develop, and optimize our current and next-generation food processes to make food the world loves!
This role is within our ITQ s Nutrition, Technology, & Science (NTS) organization. In NTS, we help our Operating Unit-aligned R&D teams transform consumer-centric possibilities into realities through science. We build and advance technical solutions to enable innovations and drive efficiencies in ingredients, process, packaging, and products.
KEY ACCOUNTABILITIES
Client Consultation and Business Partnering (15% of Time)
Collaborate with clients to identify needs and success criteria, translating them into clear project objectives, timelines, and plans.
Maintain responsiveness and timeliness in project updates, addressing client queries, and fulfilling project commitments.
Excellent Technical Work (70 % of Time)
Looking for a Master s or Ph.D. engineering degree holder with a strong academic background who can analyze real-world situations using data-centric and phenomenon-based modeling tools. Applying multiple lenses such as process dynamics, fluid and solid mechanics, reaction kinetics, heat and mass transfer, and process control, you will work independently or with a team to:
Leverage fundamental chemical and/or mechanical engineering principles to dissect and understand how great-tasting food is made on our equipment.
Apply computer-aided engineering (CAE) modeling, process modeling, and data-driven or machine learning techniques to analyze and develop a hypothesis to solve complex engineering problems that will improve process efficiency and product quality.
Develop cutting-edge hybrid simulation methodologies and tools, such as Multiphysics modeling or hybrid mechanistic modeling / machine learning to drive learning.
Integrate cross-disciplinary software and hardware tools as needed for problems at hand (e.g. Visual Basic/Python programming, PLC programming, vision systems, computer-aided design (CAD), etc.).
Design and execute experiments in concert with collaborators to test hypotheses, generate data needed for model validation, and scale-up / scale-down to translate insights.
Develop modeling and simulation approaches in tandem with experimentation to advance technical possibilities, drive technical learning, deliver adopted solutions to problems, and capture big business impact.
Innovation, Continuous Improvement (CI), and Personal Development (10 % of Time)
Apply a continuous improvement mindset to work, identifying opportunities for efficiency improvements and enhanced client value.
Explore new resources, develop innovative methods, and seek external inspiration to drive improvements in work processes.
Continually enhance skills and knowledge in information technology.
Engage in self-directed learning to stay motivated and scale knowledge in the areas of Sales Force and SharePoint specialization.
Administration (5 % of Time)
Participate in all mandatory training (Safety, HR, Finance, CI, etc.) and actively support GKS and ITQ meetings, events, and activities.
Fulfill other administrative tasks as required
MINIMUM QUALIFICATIONS
Master s or Ph.D. engineering degree holder in Mechanical or Chemical.
Excellent written and oral communication skills
Committed to self-development and learning.
For the Statistics & Data Science Program Area
Proven record of scientific excellence and data-driven decision making.
Deep data and analytics, modeling and simulation, and computer science experience.
Industrial internship experience
Demonstrated ability to deliver outstanding results.
Demonstrated skills in managing numerous projects concurrently and adaptability to fast-growing/constantly changing stakeholder needs.
Demonstrated effective communication, leadership, and influencing skills.
Ability to design and execute experiments to understand and solve technical problems, strong technical background.
Innovative thinker, willing to challenge established methods and beliefs.
For Global Knowledge Solutions
Ability to effectively work cross-functionally with internal/global team members.
High self-motivation, with the ability to work both independently and in teams.
Excels at driving projects to completion, with attention to detail.
Ability to exercise judgment in handling confidential and proprietary information.
Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously.
Demonstrated creative problem-solving abilities, attention to detail, ability to think outside the box.
Good command of English language.
PREFERRED QUALIFICATIONS
Master s or Ph.D. engineering degree holder in Mechanical or Chemical.
2-3 years of working experience on CAD, CAE, Ansys, Python