Training Resources and Videos
Consume some of our most valuable free content so you can see the concepts, processes and tools we use to help Engineering Masters & PhDs worldwide become respected and highly-paid industry Growth Engineer.
Featured Resources for you
We break down different aspects of our proprietary OptimScale Methodology into small quick-to-consume training, to provide you with actionable insights you can start implementing now to see the true value of your engineering knowledge or scientific research discovery.
2 Reasons why using A CV/Resume Is Rather Killing your Industry Job Search: Engineering PhDs now use the Marketing Thesis to Consistently Get High-Paying Clients
By Fabrice Abunde (PhD)
Engineering PhDs end up unemployed, underpaid or trapped in routine average pay industry jobs not because they aren’t good at what they do, but because they use the wrong approach and assets to search & apply for jobs.
As an Engineering PhD you can’t search & apply for an industry job the same way regular job candidates do. Getting a highly paid industry job at the PhD Level is not about having the best CV/Resume but about having a Job Search Concept that will differentiate you from other candidates in the job market and help recruiters see you as a partner in growth and not simply a candidate searching for a job and salary to survive.
How I discovered the OptimScale System that can help any Engineering PhDs Transition to Industry and upper 6 or 7-Figure Jobs where they help Companies Scale to millions in profits.
By Fabrice Abunde (PhD)
Consequently, Engineering PhDs end up underpaid in academia, unemployed or trapped in routine average pay industry jobs not because they aren’t good at what they do, but because they search, apply, and execute jobs, using the wrong approach and lack a Framework to translate their academic knowledge into measurable financial results for companies.
I realized that instead of starting a company or searching for a job to work for companies, Engineering PhDs can now use the OptimScale Methodology to pair with startups, apply modeling, simulation, and optimization Framework to scale the startups to Millions-Dollar companies and earn a percentage of revenue.
If you’re a PhD CEO or Deep-Tech Entreprenur and do this, you’ll only get low paying Clients: Using the Growth Optimization Potential to Access High-Paying Clients.
By Fabrice Abunde (PhD)
Consequently, Engineering PhDs end up underpaid in academia, unemployed or trapped in routine average pay industry jobs not because they can’t find solutions to problems, but because they can’t identify practical business/industry problems, which when solved will help companies significantly scale in profits.
The big idea is this… Unlike low/average paying jobs where employers identify the problem, establish the solution (job description) and search for the right job candidate, high-paying jobs ($200k to $1M per year) require that the candidate search for the problem, find the solution and search for the employer who faces the problem. In this article I show how to use Growth Optimization Potential to identify practical business or industry problems.
Getting a High-Paying Industry Job is difficult and launching a business is even more difficult: Engineering PhDs now use the OptimScale Job Market Formula.
By Fabrice Abunde (PhD)
Engineering PhDs fail to get high-paying industry jobs not because they aren’t good at what they do but because they don’t understand the new Job Market Formula. The big idea is this… High-Paying PhD Level Jobs are not gotten in the same way as low/average paying regular jobs.
While a low/average paying job is about the employee working for an employer who serves a client, a High-Paying Jobs is rather about an employee working for both an employer and a client. Put in another way, it’s about partnership between the employer and the employee to better serve the Client in a way that increases profits for the employer. In this article I present the New Job Market Formula.
How to Launch a Deep Tech Startup from an Engineering Innovation or Scientific Discovery and scale it to a Million-Dollar Company in 12 Months or Less while being Hyper Profitable even without having any External Funding.
By Fabrice Abunde (PhD)
PhD CEOs & Deep Tech Entrepreneurs fail not because they can't build prototypes, identify markets, sell, or price products, but because they conduct these activities in the wrong order (and using the wrong approach) and run out of money before they get traction.
In the old approach, you hire and set up a team to build a commercial prototype (production), attempt to do marketing and hope to make sales. This is the path to disaster. In the New approach, you first market, make sales before you hire and set up a team to build commercial prototypes. You proceed by testing for desirability, followed by feasibility and then viability to identity the Zone of Product Market Fit. This is the path to turning your research discovery into a Million-Dollar Company.
By Fabrice Abunde (PhD)
PhD CEOs & Deep-Tech Entrepreneurs: How to Turn your LinkedIn Profile into a Powerful Client Generation and Conversion Engine that Scales your Business by Integrating the Scientific Client Aquisition Model (OptimScale)
You might think that creating a LinkedIn profile and filling it out just like you would fill out a resume is enough to impress employers land you dream job offers.
Engineering PhDs fail to get their dream jobs via LinkedIn not because they aren’t good at what they do, but because they either don’t have enough profile views, or they lack a system (model) to automatically convert profile views into dream job offers.
Getting 5-10 Dream Job Offers via LinkedIn within 3 months involves the interplay between 3 core Engines: Demand Generation (DG) Engine, Demand Conversion (DC) Engine and Demand Fulfilment (DF) Engine, which constitute the Scientific Job Acquisition Model
- The DG Engine is used to make people view your LinkedIn Profile
- The DC Engine is used to convert LinkedIn Profile Views into Job Offers
- The DF Engine is used to convert job offers into dream job offers.
How to turn your industry job or academic research position into a Profitable B2B Consulting Firm and scale it to a Million-Dollar Company in 12 months or less using the OptimScale 5-Point Modeling Framework
By Fabrice Abunde (PhD)
In this current economy of layoffs, your bills and living expenses are permanent, but your job is not. Once you find a job, the only way to gain financial freedom is to build a business of your own.
Engineering PhDs fail to gain financial freedom not because they don’t know they have to do so, but because they think they must quit their jobs and/go learn a completely new field (mostly real estate, agriculture, stocks, bons,) before they can become successful.
But here’s the big idea, you don’t need to quit your job and go learn a completely new field to gain financial freedom. You can just leverage the experience and expertise from your current job to create a business that gives you the financial freedom you desire.
Get the OptimScale white paper for Free.
Step-by-step guide on how to make $200k to 1M per year using the Process Modeling
and the Scientific Scaling Method to help Companies Grow.